World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
17458
World Ranking
9476
National Ranking
4011

Alexander R. Pico 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 Alexander R. Pico 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: 105 publications — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Alexander R. Pico 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 Alexander R. Pico 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Alexander R. Pico is affiliated with the Gladstone Institutes in the United States and has a research profile spanning biochemistry, genetics, molecular biology, and medicine. Their work primarily focuses on molecular biology with significant contributions to cardiology and cardiovascular medicine, physiology, cancer research, and immunology.

The scientist's publication record includes notable recent papers such as:

  • WikiPathways: connecting communities, 2020, Nucleic Acids Research
  • Proteogenomic Characterization of Endometrial Carcinoma, 2020, Cell
  • Proteogenomic insights into the biology and treatment of HPV-negative head and neck squamous cell carcinoma, 2021, Cancer Cell
  • WikiPathways 2024: next generation pathway database, 2023, Nucleic Acids Research
  • WebGestalt 2024: faster gene set analysis and new support for metabolomics and multi-omics, 2024, Nucleic Acids Research

Their work often involves collaboration, with frequent co-authors including Kristina Hanspers, Anders Riutta, Martina Kutmon, Egon Willighagen, and Ayushi Agrawal.

Alexander R. Pico has published extensively in key venues such as:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Nucleic Acids Research
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Immunology
  • Bioinformatics

The scientist's research interests cover several main topics including:

  • Bioinformatics and Genomic Networks
  • Biomedical Text Mining and Ontologies
  • Gene expression and cancer classification
  • Metabolomics and Mass Spectrometry Studies
  • Gene Regulatory Network Analysis
  • Scientific Computing and Data Management
  • Computational Drug Discovery Methods

The body of work reflects a focus on integrative and computational approaches to biological data, aiming to link molecular pathways, gene regulation, and disease mechanisms through advanced bioinformatics tools and genomic analyses.

Best Publications

  • Integration of biological networks and gene expression data using Cytoscape

    Melissa S Cline;Michael Smoot;Ethan Cerami;Allan Kuchinsky

  • Cytoscape Automation: empowering workflow-based network analysis.

    David Otasek;John H. Morris;Jorge Bouças;Alexander R. Pico

  • A travel guide to Cytoscape plugins

    Rintaro Saito;Michael E Smoot;Keiichiro Ono;Johannes Ruscheinski

  • WikiPathways : a multifaceted pathway database bridging metabolomics to other omics research

    Denise Slenter;Martina Kutmon;Kristina Hanspers;Anders Riutta

  • WikiPathways: connecting communities.

    Marvin Martens;Ammar Ammar;Anders Riutta;Andra Waagmeester

  • WikiPathways: Pathway Editing for the People

    Alexander R Pico;Thomas Kelder;Martijn P van Iersel;Kristina Hanspers

  • The BioPAX community standard for pathway data sharing

    Emek Demir;Emek Demir;Michael P. Cary;Suzanne Paley;Ken Fukuda

  • Integrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma.

    David J. Clark;Saravana M. Dhanasekaran;Francesca Petralia;Jianbo Pan

  • Dynamic and Coordinated Epigenetic Regulation of Developmental Transitions in the Cardiac Lineage

    Joseph A. Wamstad;Jeffrey M. Alexander;Rebecca M. Truty;Avanti Shrikumar

  • Proteogenomic and metabolomic characterization of human glioblastoma

    Liang-Bo Wang;Alla Karpova;Marina A. Gritsenko;Jennifer E. Kyle

  • WikiPathways: building research communities on biological pathways

    Thomas Kelder;Martijn P. van Iersel;Kristina Hanspers;Martina Kutmon

  • PathVisio 3: an extendable pathway analysis toolbox.

    Martina Kutmon;Martijn P. van Iersel;Anwesha Bohler;Thomas Kelder

  • WikiPathways: capturing the full diversity of pathway knowledge.

    Martina Kutmon;Anders Riutta;Nuno Nunes;Kristina Hanspers

  • Presenting and exploring biological pathways with PathVisio

    Martijn P. van Iersel;Thomas Kelder;Alexander R. Pico;Kristina Hanspers

  • GenMAPP 2: new features and resources for pathway analysis

    Nathan Salomonis;Kristina Hanspers;Alexander C. Zambon;Karen Vranizan

  • exRNA Atlas Analysis Reveals Distinct Extracellular RNA Cargo Types and Their Carriers Present across Human Biofluids

    Oscar D. Murillo;William Thistlethwaite;Joel Rozowsky;Sai Lakshmi Subramanian

  • Affinity purification-mass spectrometry and network analysis to understand protein-protein interactions

    John H Morris;Giselle M Knudsen;Erik Verschueren;Jeffrey R Johnson

  • The BridgeDb framework: standardized access to gene, protein and metabolite identifier mapping services.

    Martijn P. van Iersel;Alexander R. Pico;Thomas Kelder;Jianjiong Gao

  • Cytoscape App Store

    Samad Lotia;Jason Montojo;Yue Dong;Gary D. Bader

  • RCy3: Network biology using Cytoscape from within R.

    Julia A. Gustavsen;Shraddha Pai;Ruth Isserlin;Barry Demchak

  • Mining biological pathways using WikiPathways web services.

    Thomas Kelder;Alexander R. Pico;Kristina Hanspers;Martijn P. van Iersel

Frequent Co-Authors

Egon Willighagen
Egon Willighagen Maastricht University
Bruce R. Conklin
Bruce R. Conklin University of California, San Francisco
Gary D. Bader
Gary D. Bader University of Toronto
Margaret R. Wrensch
Margaret R. Wrensch University of California, San Francisco
Joseph L. Wiemels
Joseph L. Wiemels University of Southern California
John K. Wiencke
John K. Wiencke University of California, San Francisco
Tarik Tihan
Tarik Tihan University of California, San Francisco
Falk Schreiber
Falk Schreiber University of Konstanz
Katerina Akassoglou
Katerina Akassoglou University of California, San Francisco

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