World's Best Scientists 2026 revealed!
Olga G. Troyanskaya

Olga G. Troyanskaya

D-Index & Metrics

Biology and Biochemistry

D-Index
81
Citations
35481
World Ranking
3800
National Ranking
1882

Olga G. Troyanskaya publication distribution in Biology and Biochemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Biology and Biochemistry in 2026. The highlighted bar marks where Olga G. Troyanskaya sits on this spectrum.

47–56 publications: 8 scientists 57–66 publications: 35 scientists 67–76 publications: 106 scientists 77–86 publications: 231 scientists 87–96 publications: 414 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 849 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 950 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 841 scientists 207–216 publications: 735 scientists 217–226 publications: 709 scientists 227–236 publications: 651 scientists 237–246 publications: 605 scientists 247–256 publications: 510 scientists 257–266 publications: 524 scientists 267–276 publications: 434 scientists 277–286 publications: 418 scientists 287–296 publications: 350 scientists 297–306 publications: 363 scientists 307–316 publications: 315 scientists 317–326 publications: 296 scientists 327–336 publications: 261 scientists 337–346 publications: 240 scientists 347–356 publications: 219 scientists 357–366 publications: 197 scientists 367–376 publications: 154 scientists 377–386 publications: 161 scientists 387–396 publications: 155 scientists 397–406 publications: 145 scientists 407–416 publications: 124 scientists 417–426 publications: 112 scientists 427–436 publications: 132 scientists 437–446 publications: 116 scientists 447–456 publications: 99 scientists 457–466 publications: 81 scientists 467–476 publications: 91 scientists 477–486 publications: 80 scientists 487–496 publications: 80 scientists 497–506 publications: 60 scientists 507–516 publications: 36 scientists 517–526 publications: 46 scientists 527–536 publications: 54 scientists 537–546 publications: 44 scientists 547–556 publications: 43 scientists 557–566 publications: 43 scientists 567–576 publications: 42 scientists 577–586 publications: 25 scientists 587–596 publications: 34 scientists 597–606 publications: 23 scientists 607–616 publications: 33 scientists 617–626 publications: 31 scientists 627–636 publications: 27 scientists 637–646 publications: 25 scientists 647–656 publications: 28 scientists 657–666 publications: 34 scientists 667–676 publications: 18 scientists 677–686 publications: 16 scientists 687–696 publications: 10 scientists 697–706 publications: 12 scientists 707–716 publications: 21 scientists 717–726 publications: 12 scientists 727–736 publications: 12 scientists 737–746 publications: 10 scientists 747–756 publications: 7 scientists 757–766 publications: 13 scientists 767–776 publications: 15 scientists 777–786 publications: 13 scientists 787–796 publications: 9 scientists 797–806 publications: 9 scientists 807–816 publications: 7 scientists 817–826 publications: 4 scientists 827–836 publications: 9 scientists 837–846 publications: 7 scientists 847–856 publications: 3 scientists 857–866 publications: 5 scientists 867–876 publications: 5 scientists 877–886 publications: 11 scientists 887–896 publications: 3 scientists 897–906 publications: 4 scientists 907–916 publications: 7 scientists 917–926 publications: 5 scientists 927–936 publications: 6 scientists 937–946 publications: 6 scientists 947–956 publications: 3 scientists 957–966 publications: 7 scientists 967–976 publications: 2 scientists 977–986 publications: 2 scientists 987–996 publications: 1 scientists 997–1,006 publications: 5 scientists 1,007–1,016 publications: 2 scientists 1,017–1,026 publications: 2 scientists 1,027 publications: 1 scientists 1,028+ publications: 100 scientists
47 publications 1,028+

This scientist: 235 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,028 publications or more.

Olga G. Troyanskaya D-index placement in Biology and Biochemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Biology and Biochemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Olga G. Troyanskaya sits on this spectrum.

40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 317 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 900 scientists 52–53 D-Index: 1,026 scientists 54–55 D-Index: 1,150 scientists 56–57 D-Index: 1,236 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,163 scientists 62–63 D-Index: 1,131 scientists 64–65 D-Index: 1,032 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 715 scientists 72–73 D-Index: 709 scientists 74–75 D-Index: 596 scientists 76–77 D-Index: 512 scientists 78–79 D-Index: 473 scientists 80–81 D-Index: 412 scientists 82–83 D-Index: 373 scientists 84–85 D-Index: 358 scientists 86–87 D-Index: 285 scientists 88–89 D-Index: 273 scientists 90–91 D-Index: 227 scientists 92–93 D-Index: 208 scientists 94–95 D-Index: 193 scientists 96–97 D-Index: 153 scientists 98–99 D-Index: 157 scientists 100–101 D-Index: 148 scientists 102–103 D-Index: 120 scientists 104–105 D-Index: 113 scientists 106–107 D-Index: 100 scientists 108–109 D-Index: 86 scientists 110–111 D-Index: 67 scientists 112–113 D-Index: 72 scientists 114–115 D-Index: 73 scientists 116–117 D-Index: 64 scientists 118–119 D-Index: 53 scientists 120–121 D-Index: 60 scientists 122–123 D-Index: 54 scientists 124–125 D-Index: 43 scientists 126–127 D-Index: 38 scientists 128–129 D-Index: 49 scientists 130–131 D-Index: 26 scientists 132–133 D-Index: 18 scientists 134–135 D-Index: 23 scientists 136–137 D-Index: 32 scientists 138–139 D-Index: 32 scientists 140–141 D-Index: 27 scientists 142–143 D-Index: 19 scientists 144–145 D-Index: 22 scientists 146–147 D-Index: 12 scientists 148–149 D-Index: 16 scientists 150–151 D-Index: 14 scientists 152–153 D-Index: 10 scientists 154–155 D-Index: 13 scientists 156–157 D-Index: 10 scientists 158–159 D-Index: 7 scientists 160–161 D-Index: 9 scientists 162–163 D-Index: 13 scientists 164–165 D-Index: 4 scientists 166 D-Index: 4 scientists 167+ D-Index: 98 scientists
40 D-Index 167+

This scientist: 81 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 167 D-Index or more.

Research.com Recognitions

  • 2020 - ACM Fellow For contributions to computational biology, data integration and deep learning applications for genome interpretation
  • 2017 - Fellow of the International Society for Computational Biology
  • 2005 - Fellow of Alfred P. Sloan Foundation

Overview

Olga G. Troyanskaya is affiliated with Princeton University in the United States and has a research focus primarily in the fields of Biochemistry, Genetics and Molecular Biology, and Medicine. Their work spans multiple subfields including Molecular Biology, Infectious Diseases, Immunology, Oncology, and Nephrology.

The scientist's research covers a range of main topics such as Single-cell and spatial transcriptomics, RNA and protein synthesis mechanisms, RNA research and splicing, genomics and chromatin dynamics, epigenetics and DNA methylation, cell image analysis techniques, and CAR-T cell therapy research.

Some of the recent papers authored by Olga G. Troyanskaya include:

  • SynNotch-CAR T cells overcome challenges of specificity, heterogeneity, and persistence in treating glioblastoma (2021, Science Translational Medicine)
  • Genomic RNA Elements Drive Phase Separation of the SARS-CoV-2 Nucleocapsid (2020, Molecular Cell)
  • A sequence-based global map of regulatory activity for deciphering human genetics (2022, Nature Genetics)
  • RNA Identification of PRIME Cells Predicting Rheumatoid Arthritis Flares (2020, New England Journal of Medicine)
  • Selective Neuronal Vulnerability in Alzheimer's Disease: A Network-Based Analysis (2020, Neuron)

Frequent co-authors in their publications include:

  • Chandra L. Theesfeld
  • Rachel Sealfon
  • Stuart C. Sealfon
  • Aaron K. Wong
  • Alicja Tadych

Important publication venues for their work are:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of the American Society of Nephrology
  • Kidney International
  • Nature Genetics

The scientist has been recognized with several awards, including:

  • ACM Fellow (2020) for contributions to computational biology, data integration, and deep learning applications for genome interpretation
  • Fellow of the International Society for Computational Biology (2017)
  • Fellow of Alfred P. Sloan Foundation (2005)

Best Publications

  • Missing value estimation methods for DNA microarrays.

    Olga G. Troyanskaya;Michael N. Cantor;Gavin Sherlock;Patrick O. Brown

  • The genetic landscape of a cell.

    Michael Costanzo;Anastasia Baryshnikova;Jeremy Bellay;Yungil Kim

  • Predicting effects of noncoding variants with deep learning–based sequence model

    Jian Zhou;Olga G Troyanskaya

  • Diversity of gene expression in adenocarcinoma of the lung

    Mitchell E. Garber;Olga G. Troyanskaya;Karsten Schluens;Simone Petersen

  • A global genetic interaction network maps a wiring diagram of cellular function

    Michael Costanzo;Benjamin VanderSluis;Elizabeth N. Koch;Anastasia Baryshnikova

  • Understanding multicellular function and disease with human tissue-specific networks

    Casey S Greene;Arjun Krishnan;Aaron K Wong;Emanuela Ricciotti

  • Endothelial cell diversity revealed by global expression profiling

    Jen-Tsan Chi;Howard Y. Chang;Guttorm Haraldsen;Frode L. Jahnsen

  • A Bayesian framework for combining heterogeneous data sources for gene function prediction (in Saccharomyces cerevisiae)

    Olga G. Troyanskaya;Kara Dolinski;Art B. Owen;Russ B. Altman

  • Analysis of phosphorylation sites on proteins from Saccharomyces cerevisiae by electron transfer dissociation (ETD) mass spectrometry

    An Chi;Curtis Huttenhower;Lewis Y. Geer;Joshua J. Coon;Joshua J. Coon

  • Hierarchical multi-label prediction of gene function

    Zafer Barutcuoglu;Robert E. Schapire;Olga G. Troyanskaya

  • Coordination of Growth Rate, Cell Cycle, Stress Response, and Metabolic Activity in Yeast

    Matthew J. Brauer;Curtis Huttenhower;Edoardo M. Airoldi;Rachel Rosenstein;Rachel Rosenstein

  • New genetic signals for lung function highlight pathways and chronic obstructive pulmonary disease associations across multiple ancestries

    Shrine N;Guyatt Al;Erzurumluoglu Am;Jackson Ve;Jackson Ve;Jackson Ve

  • Systemic and cell type-specific gene expression patterns in scleroderma skin.

    Michael L. Whitfield;Deborah R. Finlay;John Isaac Murray;Olga G. Troyanskaya

  • Deep learning sequence-based ab initio prediction of variant effects on expression and disease risk

    Jian Zhou;Chandra L. Theesfeld;Kevin Yao;Kathleen M. Chen

  • Gene Expression Patterns in Ovarian Carcinomas

    Marci E. Schaner;Douglas T. Ross;Giuseppe Ciaravino;Therese Sørlie

  • Nonparametric methods for identifying differentially expressed genes in microarray data

    Olga G. Troyanskaya;Mitchell E. Garber;Patrick O. Brown;Patrick O. Brown;David Botstein

  • Genome-wide prediction and functional characterization of the genetic basis of autism spectrum disorder

    Arjun Krishnan;Ran Zhang;Victoria Yao;Chandra L Theesfeld

  • Quantitative analysis of fitness and genetic interactions in yeast on a genome scale

    Anastasia Baryshnikova;Michael Costanzo;Yungil Kim;Huiming Ding

  • Exploring the functional landscape of gene expression

    Matthew A. Hibbs;David C. Hess;Chad L. Myers;Curtis Huttenhower

  • Variation in Gene Expression Patterns in Human Gastric Cancers

    Xin Chen;Suet Y. Leung;Siu T. Yuen;Kent-Man Chu

Frequent Co-Authors

Chad L. Myers
Chad L. Myers University of Minnesota
Curtis Huttenhower
Curtis Huttenhower Harvard University
Vessela N. Kristensen
Vessela N. Kristensen Oslo University Hospital
David Botstein
David Botstein Princeton University
Patrick O. Brown
Patrick O. Brown Stanford University
Casey S. Greene
Casey S. Greene University of Colorado Denver
Stuart C. Sealfon
Stuart C. Sealfon Icahn School of Medicine at Mount Sinai
Maitreya J. Dunham
Maitreya J. Dunham University of Washington
Kai Li
Kai Li Princeton University
Edgar A. Otto
Edgar A. Otto University of Michigan–Ann Arbor

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