World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
118
Citations
62182
World Ranking
694
National Ranking
439

Medicine

D-Index
118
Citations
62241
World Ranking
4006
National Ranking
2191

D. Gary Gilliland 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 D. Gary Gilliland 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: 286 publications — 76th percentile

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

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

D. Gary Gilliland 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 D. Gary Gilliland 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: 118 D-Index — 97th percentile

97% 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

  • 2015 - Member of the National Academy of Medicine (NAM)
  • 2004 - Fellow of the American Statistical Association (ASA)

Overview

D. Gary Gilliland is affiliated with the Fred Hutchinson Cancer Research Center in the United States. Their research contributions primarily focus on the intersection of medicine and artificial intelligence, with particular emphasis on healthcare applications and biomedical engineering.

Their scholarly work encompasses various topics including:

  • Artificial Intelligence in Healthcare and Education
  • Ethics and Social Impacts of AI
  • Ethics in Clinical Research
  • Machine Learning in Healthcare
  • Biomedical and Engineering Education

Gilliland's main field of study is Medicine, supported by subfields such as Health Informatics, Safety Research, Public Health, Environmental and Occupational Health, Artificial Intelligence, and Biomedical Engineering.

Their recent publications demonstrate ongoing engagement with topics related to biomedical AI ecosystems, ethical frameworks, and clinical integrations of advanced AI models. Representative papers include:

  • Building an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundation Models (2024) published in Bioengineering
  • Building an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundational Models (2024) published in arXiv (Cornell University)
  • Building an Ethical and Trustworthy Biomedical AI Ecosystem Centered on Foundational Models and Multimodal Biomedical Data (2025) published in Journal of Molecular and Cellular Cardiology Plus
  • Metadata Supported in context learning with GPT improves Cardiovascular Patient Diagnostic Outcomes Using Cardiovascular Clinical Case Reports (2025) published in Journal of Molecular and Cellular Cardiology Plus
  • Bridge2AI: Building A Cross-disciplinary Curriculum Towards AI-Enhanced Biomedical and Clinical Care (2025) published in arXiv (Cornell University)

The frequent co-authors collaborating with Gilliland include Karol E. Watson, Yu Yan, Alex Bui, Wei Wang, and Peipei Ping, indicating a broad interdisciplinary network.

Their work has been published in notable venues such as:

  • arXiv (Cornell University)
  • Journal of Molecular and Cellular Cardiology Plus
  • Bioengineering
  • Journal of Medical Internet Research

Throughout their career, Gilliland has been recognized by several institutions, having earned distinctions such as:

  • Member of the National Academy of Medicine (NAM) in 2015
  • Fellow of the American Statistical Association (ASA) in 2004

Best Publications

  • Activating mutation in the tyrosine kinase JAK2 in polycythemia vera, essential thrombocythemia, and myeloid metaplasia with myelofibrosis.

    Ross L. Levine;Ross L. Levine;Martha Wadleigh;Jan Cools;Benjamin L. Ebert;Benjamin L. Ebert

  • Systematic RNA interference reveals that oncogenic KRAS-driven cancers require TBK1

    David A. Barbie;Pablo Tamayo;Jesse S. Boehm;So Young Kim

  • A Tyrosine Kinase Created by Fusion of the PDGFRA and FIP1L1 Genes as a Therapeutic Target of Imatinib in Idiopathic Hypereosinophilic Syndrome

    Jan Cools;Jan Cools;Daniel J. DeAngelo;Jason Gotlib;Elizabeth H. Stover

  • The roles of FLT3 in hematopoiesis and leukemia.

    D. Gary Gilliland;James D. Griffin

  • Characterization of AMN107, a selective inhibitor of native and mutant Bcr-Abl

    Ellen Weisberg;Paul W. Manley;Werner Breitenstein;Josef Brüggen

  • Transformation from committed progenitor to leukaemia stem cell initiated by MLL-AF9.

    Andrei V. Krivtsov;David Twomey;David Twomey;Zhaohui Feng;Matthew C. Stubbs

  • Gene expression signatures define novel oncogenic pathways in T cell acute lymphoblastic leukemia

    Adolfo A Ferrando;Donna S Neuberg;Jane Staunton;Mignon L Loh

  • MPL515 mutations in myeloproliferative and other myeloid disorders: a study of 1182 patients

    Animesh D. Pardanani;Ross L. Levine;Terra Lasho;Yana Pikman

  • FoxOs are lineage-restricted redundant tumor suppressors and regulate endothelial cell homeostasis

    Ji Hye Paik;Ramya Kollipara;Gerald Chu;Hongkai Ji

  • Activating mutations in ALK provide a therapeutic target in neuroblastoma

    Rani E. George;Takaomi Sanda;Megan C. Hanna;Stefan Fröhling

  • Direct inhibition of the NOTCH transcription factor complex

    Raymond E. Moellering;Raymond E. Moellering;Melanie Cornejo;Tina N. Davis;Cristina Del Bianco

  • Drug therapy for acute myeloid leukemia.

    Martin S. Tallman;Martin S. Tallman;Martin S. Tallman;D. Gary Gilliland;D. Gary Gilliland;D. Gary Gilliland;Jacob M. Rowe;Jacob M. Rowe;Jacob M. Rowe

  • Leukaemia stem cells and the evolution of cancer-stem-cell research

    Brian J. P. Huntly;D. Gary Gilliland

  • Tyrosine Phosphorylation Inhibits PKM2 to Promote the Warburg Effect and Tumor Growth

    Taro Hitosugi;Sumin Kang;Matthew G. Vander Heiden;Tae Wook Chung

  • MOZ-TIF2, but not BCR-ABL, confers properties of leukemic stem cells to committed murine hematopoietic progenitors

    Brian J.P. Huntly;Hirokazu Shigematsu;Kenji Deguchi;Benjamin H. Lee

  • Patients with acute myeloid leukemia and an activating mutation in FLT3 respond to a small-molecule FLT3 tyrosine kinase inhibitor, PKC412

    Richard M. Stone;Daniel J. DeAngelo;Virginia Klimek;Ilene Galinsky

  • Core-binding factors in haematopoiesis and leukaemia.

    Nancy A. Speck;D. Gary Gilliland

  • Genetics of myeloid leukemias.

    Louise M Kelly;D Gary Gilliland

  • Role of JAK2 in the pathogenesis and therapy of myeloproliferative disorders

    Ross L. Levine;Animesh Pardanani;Ayalew Tefferi;D. Gary Gilliland

  • CGP 57148, a Tyrosine Kinase Inhibitor, Inhibits the Growth of Cells Expressing BCR-ABL, TEL-ABL, and TEL-PDGFR Fusion Proteins

    Martin Carroll;Martin Carroll;Martin Carroll;Sayuri Ohno-Jones;Sayuri Ohno-Jones;Sayuri Ohno-Jones;Shu Tamura;Shu Tamura;Shu Tamura;Elisabeth Buchdunger;Elisabeth Buchdunger;Elisabeth Buchdunger

Frequent Co-Authors

Ross L. Levine
Ross L. Levine Memorial Sloan Kettering Cancer Center
Benjamin L. Ebert
Benjamin L. Ebert Harvard University
Ifor R. Williams
Ifor R. Williams Emory University
James D. Griffin
James D. Griffin Harvard University
Jan Cools
Jan Cools KU Leuven
Todd R. Golub
Todd R. Golub Harvard University
Richard Stone
Richard Stone Harvard University
Jon C. Aster
Jon C. Aster Harvard Medical School
Ayalew Tefferi
Ayalew Tefferi Mayo Clinic
Jeffery L. Kutok
Jeffery L. Kutok Epizyme (United States)

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