World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
78
Citations
20793
World Ranking
4562
National Ranking
2218

David G. Camp 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 David G. Camp 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: 188 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

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

David G. Camp 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 David G. Camp 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: 78 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Overview

David G. Camp is affiliated with the Pacific Northwest National Laboratory in the United States. The primary focus of their work is documented through various publications and collaborations that emphasize several scientific fields and topics.

Camp's recent papers include:

  • Performance Analysis of Traditional and Data-Parallel Primitive Implementations of Visualization and Analysis Kernels, 2020, arXiv (Cornell University)
  • Data for EMSL Project 48666 from February 2023, 2023, OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
  • Data for EMSL Project 48666 from May 2021, 2021, OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
  • Data for EMSL Project 48666 from May 2021, 2021, OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
  • Data for EMSL Project 48666 from May 2021, 2021, OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)

The frequent co-authors collaborating with Camp are:

  • Weijun Qian
  • Vladislav Petyuk
  • Tujin Shi
  • Blake Mathews
  • Anil Shukla

Camp's publications predominantly appear in the following venues:

  • OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
  • arXiv (Cornell University)

The subfields of study that characterize Camp's research include:

  • Astronomy and Astrophysics
  • Environmental Chemistry
  • Oceanography
  • Geophysics
  • Nuclear and High Energy Physics

Main research topics associated with Camp's work cover:

  • Ionosphere and magnetosphere dynamics
  • Methane Hydrates and Related Phenomena
  • Geophysics and Gravity Measurements
  • Earthquake Detection and Analysis
  • Astrophysics and Cosmic Phenomena
  • Solar and Space Plasma Dynamics
  • Seismic Waves and Analysis

Best Publications

  • A network-based analysis of systemic inflammation in humans

    Steve E. Calvano;Wenzhong Xiao;Daniel R. Richards;Ramon M. Felciano

  • Identification of Proteins in Human Cytomegalovirus (HCMV) Particles: the HCMV Proteome

    Susan M. Varnum;Daniel N. Streblow;Matthew E. Monroe;Patricia Smith

  • Comparative Analysis of Proteome and Transcriptome Variation in Mouse

    Anatole Ghazalpour;Brian Bennett;Vladislav A. Petyuk;Luz Orozco

  • Reversed‐phase chromatography with multiple fraction concatenation strategy for proteome profiling of human MCF10A cells

    Yuexi Wang;Feng Yang;Marina A. Gritsenko;Yingchun Wang

  • Human Plasma N-Glycoproteome Analysis by Immunoaffinity Subtraction, Hydrazide Chemistry, and Mass Spectrometry

    Tao Liu;Wei Jun Qian;Marina A. Gritsenko;David G. Camp

  • DAnTE: a statistical tool for quantitative analysis of -omics data

    Ashoka D. Polpitiya;Wei-Jun Qian;Navdeep Jaitly;Vladislav A. Petyuk

  • 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

  • Advances and Challenges in Liquid Chromatography-Mass Spectrometry-based Proteomics Profiling for Clinical Applications

    Wei Jun Qian;Jon M. Jacobs;Tao Liu;David G. Camp

  • Probability-based evaluation of peptide and protein identifications from tandem mass spectrometry and SEQUEST analysis: the human proteome.

    Wei Jun Qian;Tao Liu;Matthew E. Monroe;Eric F. Strittmatter

  • Utilizing Human Blood Plasma for Proteomic Biomarker Discovery

    Jon M. Jacobs;Joshua N. Adkins;Wei Jun Qian;Tao Liu

  • Ultra-High-Efficiency Strong Cation Exchange LC/RPLC/MS/MS for High Dynamic Range Characterization of the Human Plasma Proteome

    Yufeng Shen;Jon M. Jacobs;David G. Camp;Ruihua Fang

  • Tandem mass spectrometry identifies many mouse brain O-GlcNAcylated proteins including EGF domain-specific O-GlcNAc transferase targets

    Joshua F. Alfaro;Cheng Xin Gong;Matthew E. Monroe;Joshua T. Aldrich

  • High-pH reversed-phase chromatography with fraction concatenation for 2D proteomic analysis

    Feng Yang;Yufeng Shen;David G Camp;Richard D Smith

  • Advancing the sensitivity of selected reaction monitoring-based targeted quantitative proteomics

    Tujin Shi;Dian Su;Tao Liu;Keqi Tang

  • Application of genome-wide expression analysis to human health and disease

    J. Perren Cobb;Michael N. Mindrinos;Carol Miller-Graziano;Steve E. Calvano

  • Integrative Analysis of the Mitochondrial Proteome in Yeast

    Holger Prokisch;Curt Scharfe;David G Camp;Wenzhong Xiao

  • Evaluation of Multiprotein Immunoaffinity Subtraction for Plasma Proteomics and Candidate Biomarker Discovery Using Mass Spectrometry

    Tao Liu;Wei Jun Qian;Heather M. Mottaz;Marina A. Gritsenko

  • High Throughput Quantitative Analysis of Serum Proteins Using Glycopeptide Capture and Liquid Chromatography Mass Spectrometry

    Hui Zhang;Eugene C. Yi;Xiao Jun Li;Parag Mallick

  • Characterization of the human blood plasma proteome

    Yufeng Shen;Jeongkwon Kim;Eric F. Strittmatter;Jon M. Jacobs

  • Ultrasensitive proteomics using high-efficiency on-line micro-SPE-nanoLC-nanoESI MS and MS/MS.

    Yufeng Shen;Nikola Tolic;Christophe D. Masselon;Liljiana Pasa-Tolic

Frequent Co-Authors

Richard D. Smith
Richard D. Smith Pacific Northwest National Laboratory
Wei-Jun Qian
Wei-Jun Qian Pacific Northwest National Laboratory
Tao Liu
Tao Liu Pacific Northwest National Laboratory
Ronald J. Moore
Ronald J. Moore Pacific Northwest National Laboratory
Matthew E. Monroe
Matthew E. Monroe Pacific Northwest National Laboratory
Marina A. Gritsenko
Marina A. Gritsenko Pacific Northwest National Laboratory
Rui Zhao
Rui Zhao Environmental Molecular Sciences Laboratory
Wenzhong Xiao
Wenzhong Xiao Harvard University
Samuel O. Purvine
Samuel O. Purvine Environmental Molecular Sciences Laboratory
Ronald W. Davis
Ronald W. Davis Stanford University

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