{"id":"https://openalex.org/W4388034369","doi":"https://doi.org/10.1093/bib/bbad370","title":"Robust discovery of gene regulatory networks from single-cell gene expression data by Causal Inference Using Composition of Transactions","display_name":"Robust discovery of gene regulatory networks from single-cell gene expression data by Causal Inference Using Composition of Transactions","publication_year":2023,"publication_date":"2023-09-22","ids":{"openalex":"https://openalex.org/W4388034369","doi":"https://doi.org/10.1093/bib/bbad370","pmid":"https://pubmed.ncbi.nlm.nih.gov/37897702"},"language":"en","primary_location":{"id":"doi:10.1093/bib/bbad370","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbad370","pdf_url":null,"source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1093/bib/bbad370","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001503253","display_name":"Abbas Shojaee","orcid":"https://orcid.org/0000-0003-1803-3284"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Abbas Shojaee","raw_affiliation_strings":["Center for Genomics and Systems Biology , Department of Biology, , New York, NY 10003 , USA","New York University , Department of Biology, , New York, NY 10003 , USA","Center for Genomics and Systems Biology , Department of Biology, , New York, NY 10003 , USA; New York University , Department of Biology, , New York, NY 10003 , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Genomics and Systems Biology , Department of Biology, , New York, NY 10003 , USA","institution_ids":[]},{"raw_affiliation_string":"New York University , Department of Biology, , New York, NY 10003 , USA","institution_ids":["https://openalex.org/I57206974"]},{"raw_affiliation_string":"Center for Genomics and Systems Biology , Department of Biology, , New York, NY 10003 , USA; New York University , Department of Biology, , New York, NY 10003 , USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071396064","display_name":"Shao\u2010shan Carol Huang","orcid":"https://orcid.org/0000-0001-7811-0398"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shao-shan Carol Huang","raw_affiliation_strings":["Center for Genomics and Systems Biology , Department of Biology, , New York, NY 10003 , USA","New York University , Department of Biology, , New York, NY 10003 , USA","Center for Genomics and Systems Biology , Department of Biology, , New York, NY 10003 , USA; New York University , Department of Biology, , New York, NY 10003 , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Genomics and Systems Biology , Department of Biology, , New York, NY 10003 , USA","institution_ids":[]},{"raw_affiliation_string":"New York University , Department of Biology, , New York, NY 10003 , USA","institution_ids":["https://openalex.org/I57206974"]},{"raw_affiliation_string":"Center for Genomics and Systems Biology , Department of Biology, , New York, NY 10003 , USA; New York University , Department of Biology, , New York, NY 10003 , USA","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5001503253","https://openalex.org/A5071396064"],"corresponding_institution_ids":["https://openalex.org/I57206974"],"apc_list":{"value":4011,"currency":"USD","value_usd":4011},"apc_paid":{"value":4011,"currency":"USD","value_usd":4011},"fwci":0.7265,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.67493246,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"24","issue":"6","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7445973753929138},{"id":"https://openalex.org/keywords/gene-regulatory-network","display_name":"Gene regulatory network","score":0.7039373517036438},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6760029792785645},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6358988285064697},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5688791871070862},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5317054390907288},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5300200581550598},{"id":"https://openalex.org/keywords/causal-inference","display_name":"Causal inference","score":0.5265498757362366},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49870777130126953},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4166262745857239},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.38320255279541016},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.2629510760307312},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.2243765890598297},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.20599225163459778},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15064188838005066},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.10505935549736023},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.0877077579498291}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7445973753929138},{"id":"https://openalex.org/C67339327","wikidata":"https://www.wikidata.org/wiki/Q1502576","display_name":"Gene regulatory network","level":4,"score":0.7039373517036438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6760029792785645},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6358988285064697},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5688791871070862},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5317054390907288},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5300200581550598},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.5265498757362366},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49870777130126953},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4166262745857239},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.38320255279541016},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.2629510760307312},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.2243765890598297},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.20599225163459778},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15064188838005066},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.10505935549736023},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0877077579498291},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015870","descriptor_name":"Gene Expression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015870","descriptor_name":"Gene Expression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015870","descriptor_name":"Gene Expression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015870","descriptor_name":"Gene Expression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D053263","descriptor_name":"Gene Regulatory Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D053263","descriptor_name":"Gene Regulatory Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D053263","descriptor_name":"Gene Regulatory Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D053263","descriptor_name":"Gene Regulatory Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1093/bib/bbad370","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbad370","pdf_url":null,"source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},{"id":"pmid:37897702","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37897702","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in bioinformatics","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10612495","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10612495","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10612495/pdf/bbad370.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Brief Bioinform","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1093/bib/bbad370","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbad370","pdf_url":null,"source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.4099999964237213}],"awards":[{"id":"https://openalex.org/G6047292317","display_name":null,"funder_award_id":"R35GM138143","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G6934230480","display_name":"Dissecting natural variation in transcription factor - DNA interactions","funder_award_id":"5r35gm138143-05","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":79,"referenced_works":["https://openalex.org/W1481794564","https://openalex.org/W1754293002","https://openalex.org/W1965428318","https://openalex.org/W1966716734","https://openalex.org/W1988910797","https://openalex.org/W1990220015","https://openalex.org/W1990718295","https://openalex.org/W2013035180","https://openalex.org/W2015925224","https://openalex.org/W2059586953","https://openalex.org/W2071241326","https://openalex.org/W2076513103","https://openalex.org/W2078259659","https://openalex.org/W2085649942","https://openalex.org/W2086274563","https://openalex.org/W2086614627","https://openalex.org/W2092646774","https://openalex.org/W2098023402","https://openalex.org/W2122505553","https://openalex.org/W2126750365","https://openalex.org/W2127799088","https://openalex.org/W2129265801","https://openalex.org/W2140258573","https://openalex.org/W2141014056","https://openalex.org/W2152401289","https://openalex.org/W2153424791","https://openalex.org/W2163092257","https://openalex.org/W2175370850","https://openalex.org/W2176757486","https://openalex.org/W2332016763","https://openalex.org/W2439093076","https://openalex.org/W2465917013","https://openalex.org/W2489822048","https://openalex.org/W2511896561","https://openalex.org/W2561884319","https://openalex.org/W2616922646","https://openalex.org/W2626990934","https://openalex.org/W2718870674","https://openalex.org/W2757234574","https://openalex.org/W2781939187","https://openalex.org/W2782454362","https://openalex.org/W2783645747","https://openalex.org/W2789254933","https://openalex.org/W2797424740","https://openalex.org/W2798368076","https://openalex.org/W2803394774","https://openalex.org/W2891939069","https://openalex.org/W2897695205","https://openalex.org/W2900310474","https://openalex.org/W2901292166","https://openalex.org/W2951850020","https://openalex.org/W2951890476","https://openalex.org/W2952535935","https://openalex.org/W2952840385","https://openalex.org/W2953405766","https://openalex.org/W2964315448","https://openalex.org/W2990122700","https://openalex.org/W2997831639","https://openalex.org/W2997833216","https://openalex.org/W3010569643","https://openalex.org/W3082292479","https://openalex.org/W3093153369","https://openalex.org/W3097009024","https://openalex.org/W3127245931","https://openalex.org/W3139320436","https://openalex.org/W3139392374","https://openalex.org/W3159699835","https://openalex.org/W3172964312","https://openalex.org/W3193795275","https://openalex.org/W4200067116","https://openalex.org/W4210881488","https://openalex.org/W4213111299","https://openalex.org/W4235252971","https://openalex.org/W4294377467","https://openalex.org/W4319591822","https://openalex.org/W4328051841","https://openalex.org/W6637587255","https://openalex.org/W6702046917","https://openalex.org/W6730757859"],"related_works":["https://openalex.org/W2085384747","https://openalex.org/W2088166309","https://openalex.org/W1891216533","https://openalex.org/W4312133475","https://openalex.org/W4238976562","https://openalex.org/W2950199998","https://openalex.org/W2560421304","https://openalex.org/W2951387065","https://openalex.org/W4385727351","https://openalex.org/W4306798985"],"abstract_inverted_index":{"Gene":[0],"regulatory":[1,28,81,126,210],"networks":[2,215],"(GRNs)":[3],"drive":[4],"organism":[5],"structure":[6],"and":[7,12,30,128,136,145,183,191],"functions,":[8],"so":[9],"the":[10,50,91,100,179,186,192,195],"discovery":[11],"characterization":[13],"of":[14,26,32,53,58,69,104,174,181,188,194],"GRNs":[15,33,63],"is":[16,71],"a":[17,79,114,141],"major":[18],"goal":[19],"in":[20,96,99,140,176,212,219],"biological":[21,214],"research.":[22],"However,":[23],"accurate":[24],"identification":[25],"causal":[27,125],"connections":[29],"inference":[31,152,166],"using":[34,134],"gene":[35,75,82],"expression":[36],"datasets,":[37],"more":[38],"recently":[39],"from":[40,64,90,113],"single-cell":[41],"RNA-seq":[42],"(scRNA-seq),":[43],"has":[44],"been":[45],"challenging.":[46],"Here":[47],"we":[48,162],"employ":[49],"innovative":[51],"method":[52],"Causal":[54],"Inference":[55],"Using":[56],"Composition":[57],"Transactions":[59],"(CICT)":[60],"to":[61,123,171,208],"uncover":[62],"scRNA-seq":[65,138,177],"data.":[66],"The":[67],"basis":[68],"CICT":[70,107,133,148,168],"that":[72,147,164],"if":[73],"all":[74],"expressions":[76],"were":[77],"random,":[78],"non-random":[80],"should":[83],"induce":[84],"its":[85],"targets":[86],"at":[87,204],"levels":[88,173],"different":[89,172],"background":[92],"random":[93],"process,":[94],"resulting":[95],"distinct":[97],"patterns":[98],"whole":[101],"relevance":[102,115],"network":[103,110,151],"gene-gene":[105],"associations.":[106],"proposes":[108],"novel":[109],"features":[111],"derived":[112],"network,":[116],"which":[117],"enable":[118],"any":[119],"machine":[120,197],"learning":[121,198],"algorithm":[122],"predict":[124],"edges":[127],"infer":[129],"GRNs.":[130],"We":[131],"evaluated":[132],"simulated":[135],"experimental":[137],"data":[139,182],"well-established":[142],"benchmarking":[143],"pipeline":[144],"showed":[146],"outperformed":[149],"existing":[150],"methods":[153],"representing":[154],"diverse":[155],"approaches":[156],"with":[157,167],"many-fold":[158],"higher":[159],"accuracy.":[160],"Furthermore,":[161],"demonstrated":[163],"GRN":[165,220],"was":[169],"robust":[170],"sparsity":[175],"data,":[178],"characteristics":[180],"ground":[184],"truth,":[185],"choice":[187],"association":[189],"measure":[190],"complexity":[193],"supervised":[196],"algorithm.":[199],"Our":[200],"results":[201],"suggest":[202],"aiming":[203],"directly":[205],"predicting":[206],"causality":[207],"recover":[209],"relationships":[211],"complex":[213],"substantially":[216],"improves":[217],"accuracy":[218],"inference.":[221]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2025-10-10T00:00:00"}