World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
66
Citations
24210
World Ranking
2578
National Ranking
1145

Bogdan Pasaniuc publication distribution in Genetics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Genetics in 2026. The highlighted bar marks where Bogdan Pasaniuc sits on this spectrum.

45–54 publications: 6 scientists 55–64 publications: 10 scientists 65–74 publications: 35 scientists 75–84 publications: 84 scientists 85–94 publications: 102 scientists 95–104 publications: 151 scientists 105–114 publications: 175 scientists 115–124 publications: 203 scientists 125–134 publications: 217 scientists 135–144 publications: 205 scientists 145–154 publications: 193 scientists 155–164 publications: 188 scientists 165–174 publications: 170 scientists 175–184 publications: 178 scientists 185–194 publications: 164 scientists 195–204 publications: 173 scientists 205–214 publications: 159 scientists 215–224 publications: 134 scientists 225–234 publications: 143 scientists 235–244 publications: 105 scientists 245–254 publications: 114 scientists 255–264 publications: 92 scientists 265–274 publications: 88 scientists 275–284 publications: 87 scientists 285–294 publications: 80 scientists 295–304 publications: 62 scientists 305–314 publications: 75 scientists 315–324 publications: 67 scientists 325–334 publications: 60 scientists 335–344 publications: 52 scientists 345–354 publications: 40 scientists 355–364 publications: 48 scientists 365–374 publications: 47 scientists 375–384 publications: 46 scientists 385–394 publications: 31 scientists 395–404 publications: 27 scientists 405–414 publications: 40 scientists 415–424 publications: 30 scientists 425–434 publications: 43 scientists 435–444 publications: 29 scientists 445–454 publications: 14 scientists 455–464 publications: 28 scientists 465–474 publications: 21 scientists 475–484 publications: 21 scientists 485–494 publications: 22 scientists 495–504 publications: 17 scientists 505–514 publications: 12 scientists 515–524 publications: 11 scientists 525–534 publications: 8 scientists 535–544 publications: 8 scientists 545–554 publications: 14 scientists 555–564 publications: 4 scientists 565–574 publications: 11 scientists 575–584 publications: 5 scientists 585–594 publications: 11 scientists 595–604 publications: 12 scientists 605–614 publications: 7 scientists 615–624 publications: 6 scientists 625–634 publications: 10 scientists 635–644 publications: 9 scientists 645–654 publications: 10 scientists 655–664 publications: 6 scientists 665–674 publications: 6 scientists 675–684 publications: 6 scientists 685–694 publications: 4 scientists 695–702 publications: 6 scientists 703+ publications: 100 scientists
45 publications 703+

This scientist: 303 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 703 publications or more.

Bogdan Pasaniuc D-index placement in Genetics in 2026

The chart shows the D-index (discipline H-index) distribution of Genetics scientists ranked by Research.com in 2026. The highlighted bar marks where Bogdan Pasaniuc sits on this spectrum.

40–41 D-Index: 24 scientists 42–43 D-Index: 52 scientists 44–45 D-Index: 84 scientists 46–47 D-Index: 112 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 141 scientists 52–53 D-Index: 143 scientists 54–55 D-Index: 145 scientists 56–57 D-Index: 179 scientists 58–59 D-Index: 162 scientists 60–61 D-Index: 175 scientists 62–63 D-Index: 191 scientists 64–65 D-Index: 172 scientists 66–67 D-Index: 184 scientists 68–69 D-Index: 164 scientists 70–71 D-Index: 158 scientists 72–73 D-Index: 150 scientists 74–75 D-Index: 136 scientists 76–77 D-Index: 127 scientists 78–79 D-Index: 127 scientists 80–81 D-Index: 111 scientists 82–83 D-Index: 110 scientists 84–85 D-Index: 110 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 102 scientists 90–91 D-Index: 66 scientists 92–93 D-Index: 72 scientists 94–95 D-Index: 70 scientists 96–97 D-Index: 54 scientists 98–99 D-Index: 60 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 55 scientists 104–105 D-Index: 45 scientists 106–107 D-Index: 42 scientists 108–109 D-Index: 28 scientists 110–111 D-Index: 39 scientists 112–113 D-Index: 25 scientists 114–115 D-Index: 31 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 34 scientists 120–121 D-Index: 29 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 27 scientists 128–129 D-Index: 22 scientists 130–131 D-Index: 16 scientists 132–133 D-Index: 11 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 21 scientists 140–141 D-Index: 4 scientists 142–143 D-Index: 9 scientists 144–145 D-Index: 14 scientists 146–147 D-Index: 6 scientists 148–149 D-Index: 10 scientists 150–151 D-Index: 7 scientists 152–153 D-Index: 9 scientists 154–155 D-Index: 8 scientists 156–157 D-Index: 8 scientists 158–159 D-Index: 9 scientists 160+ D-Index: 96 scientists
40 D-Index 160+

This scientist: 66 D-Index — 41st percentile

41% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 160 D-Index or more.

Overview

Bogdan Pasaniuc is affiliated with the University of California, Los Angeles, United States. Their research focuses primarily on Biochemistry, Genetics, and Molecular Biology, with a strong emphasis on Genetics and Molecular Biology subfields. Other areas of study include Pulmonary and Respiratory Medicine, Cancer Research, and Infectious Diseases.

Their scientific contributions encompass a range of topics, notably Genetic Associations and Epidemiology, Genetic Mapping and Diversity in Plants and Animals, and Bioinformatics and Genomic Networks. Additional topics include Genetic and phenotypic traits in livestock, Epigenetics and DNA Methylation, BRCA gene mutations in cancer, and Prostate Cancer Treatment and Research.

Pasaniuc has published extensively in a variety of academic venues. Frequent publication outlets include bioRxiv (Cold Spring Harbor Laboratory), The American Journal of Human Genetics, Nature Genetics, UNC Libraries, and Nature Communications.

They have collaborated with several co-authors, including Kangcheng Hou, Yi Ding, Arjun Bhattacharya, Ruth Johnson, and Tommer Schwarz, indicating active participation in research networks.

Selected recent papers by Bogdan Pasaniuc include:

  • Mapping the human genetic architecture of COVID-19, 2021, Nature
  • Prostate cancer reactivates developmental epigenomic programs during metastatic progression, 2020, Nature Genetics
  • Polygenic scoring accuracy varies across the genetic ancestry continuum, 2023, Nature
  • Principles and methods for transferring polygenic risk scores across global populations, 2023, Nature Reviews Genetics
  • Broad transcriptomic dysregulation occurs across the cerebral cortex in ASD, 2022, Nature

Best Publications

  • Integrative approaches for large-scale transcriptome-wide association studies.

    Alexander Gusev;Alexander Gusev;Arthur Ko;Huwenbo Shi;Gaurav Bhatia;Gaurav Bhatia

  • Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

    Bjarni J. Vilhjálmsson;Jian Yang;Hilary K. Finucane;Alexander Gusev

  • Leveraging Polygenic Functional Enrichment to Improve GWAS Power

    Gleb Kichaev;Gaurav Bhatia;Po Ru Loh;Steven Gazal;Steven Gazal

  • Colocalization of GWAS and eQTL Signals Detects Target Genes

    Farhad Hormozdiari;Martijn van de Bunt;Martijn van de Bunt;Ayellet V. Segrè;Xiao Li

  • Opportunities and challenges for transcriptome-wide association studies.

    Michael Wainberg;Nasa Sinnott-Armstrong;Nicholas Mancuso;Alvaro N. Barbeira

  • Partitioning heritability of regulatory and cell-type-specific variants across 11 common diseases

    Alexander Gusev;S. Hong Lee;Gosia Trynka;Hilary Finucane

  • Integrating Functional Data to Prioritize Causal Variants in Statistical Fine-Mapping Studies

    Gleb Kichaev;Wen-Yun Yang;Sara Lindstrom;Farhad Hormozdiari

  • Identifying causal variants at loci with multiple signals of association.

    Farhad Hormozdiari;Emrah Kostem;Eun Yong Kang;Bogdan Pasaniuc

  • Dissecting the genetics of complex traits using summary association statistics

    Bogdan Pasaniuc;Alkes L. Price

  • Transcriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insights

    Alexander Gusev;Alexander Gusev;Nicholas Mancuso;Hyejung Won;Maria Kousi

  • Using Extended Genealogy to Estimate Components of Heritability for 23 Quantitative and Dichotomous Traits

    Noah Zaitlen;Phillip L. Kraft;Phillip L. Kraft;Nick Patterson;Bogdan Pasaniuc

  • Contrasting the Genetic Architecture of 30 Complex Traits from Summary Association Data.

    Huwenbo Shi;Gleb Kichaev;Bogdan Pasaniuc

  • Extremely low-coverage sequencing and imputation increases power for genome-wide association studies

    Bogdan Pasaniuc;Bogdan Pasaniuc;Nadin Rohland;Nadin Rohland;Paul J. McLaren;Paul J. McLaren;Kiran Garimella

  • Probabilistic fine-mapping of transcriptome-wide association studies.

    Nicholas Mancuso;Malika K Freund;Ruth Johnson;Huwenbo Shi

  • Integrating Gene Expression with Summary Association Statistics to Identify Genes Associated with 30 Complex Traits

    Nicholas Mancuso;Huwenbo Shi;Pagé Goddard;Gleb Kichaev

  • Local Genetic Correlation Gives Insights into the Shared Genetic Architecture of Complex Traits

    Huwenbo Shi;Nicholas Mancuso;Sarah Spendlove;Bogdan Pasaniuc

  • A Bayesian framework for multiple trait colocalization from summary association statistics.

    Claudia Giambartolomei;Jimmy Zhenli Liu;Wen Zhang;Mads Hauberg;Mads Hauberg

  • Fast and accurate inference of local ancestry in Latino populations

    Yael Baran;Bogdan Pasaniuc;Bogdan Pasaniuc;Sriram Sankararaman;Sriram Sankararaman;Dara G. Torgerson

  • Genetic Control of Expression and Splicing in Developing Human Brain Informs Disease Mechanisms.

    Rebecca L. Walker;Gokul Ramaswami;Christopher Hartl;Nicholas Mancuso

  • Fast and accurate imputation of summary statistics enhances evidence of functional enrichment

    Bogdan Pasaniuc;Noah Zaitlen;Huwenbo Shi;Gaurav Bhatia

Frequent Co-Authors

Alexander Gusev
Alexander Gusev Dana-Farber Cancer Institute
Alkes L. Price
Alkes L. Price Harvard University
Noah Zaitlen
Noah Zaitlen University of California, Los Angeles
Christopher A. Haiman
Christopher A. Haiman University of Southern California
Matthew L. Freedman
Matthew L. Freedman Harvard University
Peter Kraft
Peter Kraft Harvard University
David Reich
David Reich Harvard Medical School
Eran Halperin
Eran Halperin University of California, Los Angeles
Eleazar Eskin
Eleazar Eskin University of California, Los Angeles
Sara Lindström
Sara Lindström University of Washington

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