World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
117
Citations
60762
World Ranking
421
National Ranking
218

Medicine

D-Index
117
Citations
61697
World Ranking
4155
National Ranking
2279

Computer Science

D-Index
103
Citations
48065
World Ranking
320
National Ranking
176

Russ B. Altman publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Russ B. Altman sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 532 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Russ B. Altman D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Russ B. Altman sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 103 D-Index — 98th percentile

98% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2014 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2009 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Russ B. Altman is affiliated with Stanford University in the United States. Their research spans a range of topics primarily in the fields of biochemistry, genetics, molecular biology, and medicine.

Altman's work encompasses several specialized subfields, including molecular biology, genetics, computational theory and mathematics, pharmacology, and artificial intelligence. This multidisciplinary focus supports investigations into computational drug discovery methods, bioinformatics and genomic networks, machine learning applications in bioinformatics, RNA and protein synthesis mechanisms, protein structure and dynamics, pharmacogenetics and drug metabolism, as well as biomedical text mining and ontologies.

Frequent publication venues for Altman include bioRxiv (Cold Spring Harbor Laboratory), Zenodo (CERN European Organization for Nuclear Research), Biophysical Journal, arXiv (Cornell University), and Clinical Pharmacology & Therapeutics. These platforms feature a significant number of Altman's contributions.

Significant recent papers authored or co-authored by Altman include:

  • On the Opportunities and Risks of Foundation Models (2021), published in arXiv (Cornell University)
  • Geographic Distribution of US Cohorts Used to Train Deep Learning Algorithms (2020), published in JAMA
  • Protein Sequence Design with a Learned Potential (2022), published in Nature Communications
  • Pharmacogenetics at Scale: An Analysis of the UK Biobank (2020), published in Clinical Pharmacology & Therapeutics
  • MARS: Discovering Novel Cell Types Across Heterogeneous Single-Cell Experiments (2020), published in Nature Methods

Altman has collaborated frequently with a number of co-authors over their career. Notably, these collaborators include Alexander Derry, Scott C. Blanchard, Raphael J.L. Townshend, Martin Vögele, and Patricia Suriana.

Altman has been recognized by professional societies through fellowships, including being named a Fellow of the American Association for the Advancement of Science (AAAS) in 2014 and a Fellow of the Indian National Academy of Engineering (INAE) in 2009.

Best Publications

  • Missing value estimation methods for DNA microarrays.

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

  • On the Opportunities and Risks of Foundation Models.

    Rishi Bommasani;Drew A. Hudson;Ehsan Adeli;Russ Altman

  • Pharmacogenomics Knowledge for Personalized Medicine

    M Whirl-Carrillo;E M McDonagh;J M Hebert;L Gong

  • Doxorubicin pathways: pharmacodynamics and adverse effects

    Caroline F. Thorn;Connie Oshiro;Sharon Marsh;Tina Hernandez-Boussard

  • Estimation of the warfarin dose with clinical and pharmacogenetic data

    Klein Te;Altman Rb;Eriksson N

  • Diversity of gene expression in adenocarcinoma of the lung

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

  • Personal Omics Profiling Reveals Dynamic Molecular and Medical Phenotypes

    Rui Chen;George I. Mias;Jennifer Li-Pook-Than;Lihua Jiang

  • Guidelines for investigating causality of sequence variants in human disease

    D G MacArthur;T A Manolio;D P Dimmock;H L Rehm

  • The Chemical Genomic Portrait of Yeast: Uncovering a Phenotype for All Genes

    Maureen E. Hillenmeyer;Eula Fung;Jan Wildenhain;Sarah E. Pierce

  • PRINCIPAL COMPONENTS ANALYSIS TO SUMMARIZE MICROARRAY EXPERIMENTS: APPLICATION TO SPORULATION TIME SERIES

    Soumya Raychaudhuri;Joshua M. Stuart;Russ B. Altman

  • Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features.

    Kun-Hsing Yu;Ce Zhang;Gerald J. Berry;Russ B. Altman

  • Machine learning in chemoinformatics and drug discovery.

    Yu Chen Lo;Stefano E. Rensi;Wen Torng;Russ B. Altman

  • Data-Driven Prediction of Drug Effects and Interactions

    Nicholas P. Tatonetti;Patrick P. Ye;Roxana Daneshjou;Russ B. Altman

  • Clinical assessment incorporating a personal genome

    Euan A Ashley;Atul J Butte;Matthew T Wheeler;Rong Chen

  • Human induced pluripotent stem cell–derived cardiomyocytes recapitulate the predilection of breast cancer patients to doxorubicin-induced cardiotoxicity

    Paul W. Burridge;Yong Fuga Li;Elena Matsa;Haodi Wu

  • 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

  • Clinical Pharmacogenetics Implementation Consortium Guidelines for CYP2C9 and VKORC1 Genotypes and Warfarin Dosing

    J. A. Johnson;L. Gong;M. Whirl-Carrillo;B. F. Gage

  • Method for monitoring and/or modifying web browsing sessions

    Ramon M. Felciano;Russ B. Altman

  • Metformin pathways: pharmacokinetics and pharmacodynamics

    Li Gong;Srijib Goswami;Kathleen M. Giacomini;Russ B. Altman

  • Clinical Interpretation and Implications of Whole-Genome Sequencing

    Frederick E. Dewey;Megan E. Grove;Cuiping Pan;Benjamin A. Goldstein

Frequent Co-Authors

Teri E. Klein
Teri E. Klein Stanford University
Lawrence Hunter
Lawrence Hunter University of Colorado Denver
Julie A. Johnson
Julie A. Johnson University of Florida
Daniel L. Rubin
Daniel L. Rubin Stanford University
Jeffrey T. Chang
Jeffrey T. Chang The University of Texas Health Science Center at Houston
Michael Snyder
Michael Snyder Stanford University
Oleg Jardetzky
Oleg Jardetzky Stanford University
Dan M. Roden
Dan M. Roden Vanderbilt University Medical Center
Isaac S. Kohane
Isaac S. Kohane Harvard University
Soumya Raychaudhuri
Soumya Raychaudhuri Brigham and Women's Hospital

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