World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
66
Citations
15701
World Ranking
8661
National Ranking
3888

Katrina M. Waters 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 Katrina M. Waters 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: 177 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Katrina M. Waters 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 Katrina M. Waters 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: 66 D-Index — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Overview

Katrina M. Waters is affiliated with the Pacific Northwest National Laboratory in the United States. Their research spans several interconnected scientific domains including health, toxicology, molecular biology, infectious diseases, epidemiology, and immunology.

The subfields of study in which Waters has contributed include:

  • Health, Toxicology and Mutagenesis
  • Molecular Biology
  • Infectious Diseases
  • Epidemiology
  • Immunology

Their work addresses a variety of topics, notably:

  • Toxic Organic Pollutants Impact
  • SARS-CoV-2 and COVID-19 Research
  • Effects and risks of endocrine disrupting chemicals
  • Viral Infections and Outbreaks Research
  • Air Quality and Health Impacts
  • Influenza Virus Research Studies
  • Bioinformatics and Genomic Networks

Waters has published extensively in prominent venues, with frequent contributions to:

  • OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
  • UNC Libraries
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Environmental Health Perspectives
  • Frontiers in Toxicology

Some of their recent papers include:

  • "Missing data in multi-omics integration: Recent advances through artificial intelligence," 2023, Frontiers in Artificial Intelligence
  • "CATMoS: Collaborative Acute Toxicity Modeling Suite," 2021, Environmental Health Perspectives
  • "Hypergraph models of biological networks to identify genes critical to pathogenic viral response," 2021, BMC Bioinformatics
  • "Unfolded Protein Response Inhibition Reduces Middle East Respiratory Syndrome Coronavirus-Induced Acute Lung Injury," 2021, mBio
  • "Erratum: CATMoS: Collaborative Acute Toxicity Modeling Suite," 2021, Environmental Health Perspectives

They have collaborated frequently with several researchers, including:

  • Lindsey Anderson
  • Jason McDermott
  • Amie J. Eisfeld
  • Amy Sims
  • Ralph S. Baric

Best Publications

  • Sharing and community curation of mass spectrometry data with Global Natural Products Social Molecular Networking

    Mingxun Wang;Jeremy J Carver;Vanessa V Phelan;Laura M Sanchez

  • Temporal proteome and lipidome profiles reveal hepatitis C virus-associated reprogramming of hepatocellular metabolism and bioenergetics.

    Deborah L. Diamond;Andrew J. Syder;Jon M. Jacobs;Christina M. Sorensen

  • Review, Evaluation, and Discussion of the Challenges of Missing Value Imputation for Mass Spectrometry-Based Label-Free Global Proteomics

    Bobbie Jo M Webb-Robertson;Holli K. Wiberg;Melissa M. Matzke;Joseph N. Brown

  • Pathogenic Influenza Viruses and Coronaviruses Utilize Similar and Contrasting Approaches To Control Interferon-Stimulated Gene Responses

    Vineet D. Menachery;Amie J. Eisfeld;Alexandra Schäfer;Laurence Josset

  • Identification of rare-disease genes using blood transcriptome sequencing and large control cohorts

    Laure Frésard;Craig Smail;Nicole M. Ferraro;Nicole A. Teran

  • Mechanisms of Severe Acute Respiratory Syndrome Coronavirus-Induced Acute Lung Injury

    Lisa E. Gralinski;Armand Bankhead;Sophia Jeng;Vineet D. Menachery

  • Macrophage Responses to Silica Nanoparticles are Highly Conserved Across Particle Sizes

    Katrina M. Waters;Lisa M. Masiello;Richard C. Zangar;Barbara J. Tarasevich

  • Comparative developmental toxicity of environmentally relevant oxygenated PAHs

    Andrea L. Knecht;Britton C. Goodale;Lisa Truong;Michael T. Simonich

  • MERS-CoV and H5N1 influenza virus antagonize antigen presentation by altering the epigenetic landscape

    Vineet D. Menachery;Alexandra Schäfer;Kristin E. Burnum-Johnson;Hugh D. Mitchell

  • MARRVEL: Integration of Human and Model Organism Genetic Resources to Facilitate Functional Annotation of the Human Genome.

    Julia Wang;Rami Al-Ouran;Yanhui Hu;Seon-Young Kim

  • Investigating the correspondence between transcriptomic and proteomic expression profiles using coupled cluster models

    Simon Rogers;Mark Girolami;Walter Kolch;Katrina M. Waters

  • Polycyclic aromatic hydrocarbons as skin carcinogens: Comparison of benzo(a)pyrene, dibenzo(def,p)chrysene and three environmental mixtures in the FVB/N mouse

    Lisbeth K. Siddens;Andrew Larkin;Sharon K. Krueger;Christopher A. Bradfield

  • Insulin and dietary fructose induce stearoyl-CoA desaturase 1 gene expression of diabetic mice.

    K M Waters;J M Ntambi

  • How Adverse Outcome Pathways Can Aid the Development and Use of Computational Prediction Models for Regulatory Toxicology.

    Clemens Wittwehr;Hristo Aladjov;Gerald Ankley;Hugh J Byrne

  • The Undiagnosed Diseases Network: Accelerating Discovery about Health and Disease

    Rachel B. Ramoni;Rachel B. Ramoni;John J. Mulvihill;David R. Adams;Patrick Allard

  • Differential Gene Expression in Response to Methoxychlor and Estradiol through ERα, ERβ, and AR in Reproductive Tissues of Female Mice

    Katrina M. Waters;Stephen Safe;Kevin W. Gaido

  • Release of Severe Acute Respiratory Syndrome Coronavirus Nuclear Import Block Enhances Host Transcription in Human Lung Cells

    Amy C. Sims;Susan C. Tilton;Vineet D. Menachery;Lisa E. Gralinski

  • Completing the Link between Exposure Science and Toxicology for Improved Environmental Health Decision Making: The Aggregate Exposure Pathway Framework

    Justin G Teeguarden;Yu-Mei Tan;Stephen W Edwards;Jeremy A Leonard

  • MERS-CoV Accessory ORFs Play Key Role for Infection and Pathogenesis

    Vineet D. Menachery;Hugh D. Mitchell;Adam S. Cockrell;Lisa E. Gralinski

  • Data merging for integrated microarray and proteomic analysis

    Katrina M. Waters;Joel G. Pounds;Brian D. Thrall

Frequent Co-Authors

Thomas O. Metz
Thomas O. Metz Pacific Northwest National Laboratory
Richard D. Smith
Richard D. Smith Pacific Northwest National Laboratory
Ralph S. Baric
Ralph S. Baric University of North Carolina at Chapel Hill
Robert L. Tanguay
Robert L. Tanguay Oregon State University
Lisa E. Gralinski
Lisa E. Gralinski University of North Carolina at Chapel Hill
Yoshihiro Kawaoka
Yoshihiro Kawaoka University of Tokyo
Vineet D. Menachery
Vineet D. Menachery The University of Texas Medical Branch at Galveston
Amy C. Sims
Amy C. Sims University of North Carolina at Chapel Hill
Kim A. Anderson
Kim A. Anderson Oregon State University
Michael F. Wangler
Michael F. Wangler Baylor College of Medicine

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