World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
62
Citations
17295
World Ranking
10625
National Ranking
4617

Matthew E. Monroe 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 Matthew E. Monroe 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: 413 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 848 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 949 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 840 scientists 207–216 publications: 733 scientists 217–226 publications: 708 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: 417 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: 196 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: 59 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: 169 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Matthew E. Monroe 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 Matthew E. Monroe sits on this spectrum.

40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 316 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 899 scientists 52–53 D-Index: 1,025 scientists 54–55 D-Index: 1,149 scientists 56–57 D-Index: 1,235 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,162 scientists 62–63 D-Index: 1,130 scientists 64–65 D-Index: 1,031 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 714 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: 71 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: 62 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Matthew E. Monroe is affiliated with the Pacific Northwest National Laboratory in the United States. Their research spans multiple disciplines, with a focus on Earth and Planetary Sciences and Environmental Science. Subfields of particular interest include Geophysics, Environmental Chemistry, Astronomy and Astrophysics, Molecular Biology, and Biomedical Engineering.

The main topics covered in their work are diverse, reflecting both geophysical and biological dimensions. These topics include:

  • Seismic Waves and Analysis
  • Earthquake Detection and Analysis
  • Methane Hydrates and Related Phenomena
  • Ionosphere and Magnetosphere Dynamics
  • Geophysics and Gravity Measurements
  • Superconducting Materials and Applications
  • RNA Modifications and Cancer

Monroe has contributed to several recent peer-reviewed publications primarily in the fields of proteogenomics and cancer biology. Their recent papers are:

  • "Proteogenomic and metabolomic characterization of human glioblastoma," 2021, published in Cancer Cell
  • "Proteogenomic Characterization of Endometrial Carcinoma," 2020, published in Cell
  • "Integrated Proteogenomic Characterization across Major Histological Types of Pediatric Brain Cancer," 2020, published in Cell
  • "Proteogenomic Characterization of Ovarian HGSC Implicates Mitotic Kinases, Replication Stress in Observed Chromosomal Instability," 2020, published in Cell Reports Medicine
  • "Proteogenomic insights suggest druggable pathways in endometrial carcinoma," 2023, published in Cancer Cell

Their frequent co-authors include Marina Gritsenko, Vladislav Petyuk, Tujin Shi, Ron Moore, and Rosey Chu, indicating active collaboration within their research community.

Monroe's publications are commonly found in multiple venues, with the highest volume in the OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). Other notable publication venues include:

  • Journal of Proteome Research
  • Cancer Cell
  • Cell
  • Cell Reports Medicine

Best Publications

  • Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer

    Hui Zhang;Tao Liu;Zhen Zhang;Samuel H. Payne

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

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

  • Proteogenomic Characterization Reveals Therapeutic Vulnerabilities in Lung Adenocarcinoma

    Michael A. Gillette;Michael A. Gillette;Shankha Satpathy;Song Cao;Saravana M. Dhanasekaran

  • Integrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma.

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

  • Proteogenomic and metabolomic characterization of human glioblastoma

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

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

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

  • Proteogenomic Analysis of Human Colon Cancer Reveals New Therapeutic Opportunities.

    Suhas Vasaikar;Chen Huang;Xiaojing Wang;Vladislav A. Petyuk

  • Reproducible workflow for multiplexed deep-scale proteome and phosphoproteome analysis of tumor tissues by liquid chromatography-mass spectrometry

    Philipp Mertins;Philipp Mertins;Lauren C. Tang;Karsten Krug;David J. Clark

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

    Tao Liu;Wei Jun Qian;Marina A. Gritsenko;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

  • Advances in Proteomics Data Analysis and Display Using an Accurate Mass and Time Tag Approach

    Jennifer S D Zimmer;Matthew E. Monroe;Wei Jun Qian;Richard D. Smith

  • Proteogenomic Characterization of Endometrial Carcinoma.

    Yongchao Dou;Emily A. Kawaler;Daniel Cui Zhou;Marina A. Gritsenko

  • 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

  • Integrative Analysis of the Mitochondrial Proteome in Yeast

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

  • Uncovering biologically significant lipid isomers with liquid chromatography, ion mobility spectrometry and mass spectrometry

    Jennifer E. Kyle;Xing Zhang;Karl K. Weitz;Matthew E. Monroe

  • VIPER: an advanced software package to support high-throughput LC-MS peptide identification

    Matthew E. Monroe;Nikola Tolić;Navdeep Jaitly;Jason L. Shaw

  • Brief Communication: MASIC: A software program for fast quantitation and flexible visualization of chromatographic profiles from detected LC-MS(/MS) features

    Matthew E. Monroe;Jason L. Shaw;Don S. Daly;Joshua N. Adkins

  • Integrated Proteogenomic Characterization across Major Histological Types of Pediatric Brain Cancer

    Francesca Petralia;Nicole Tignor;Boris Reva;Mateusz Koptyra

  • Improved peptide elution time prediction for reversed-phase liquid chromatography-MS by incorporating peptide sequence information

    Konstantinos Petritis;Lars J. Kangas;Bo Yan;Matthew E. Monroe

  • Quantitative Proteome Analysis of Human Plasma following in Vivo Lipopolysaccharide Administration Using 16O/18O Labeling and the Accurate Mass and Time Tag Approach

    Wei Jun Qian;Matthew E. Monroe;Tao Liu;Jon M. Jacobs

Frequent Co-Authors

Richard D. Smith
Richard D. Smith Pacific Northwest National Laboratory
Ronald J. Moore
Ronald J. Moore Pacific Northwest National Laboratory
David G. Camp
David G. Camp Pacific Northwest National Laboratory
Marina A. Gritsenko
Marina A. Gritsenko Pacific Northwest National Laboratory
Joshua N. Adkins
Joshua N. Adkins Pacific Northwest National Laboratory
Wei-Jun Qian
Wei-Jun Qian Pacific Northwest National Laboratory
Samuel O. Purvine
Samuel O. Purvine Environmental Molecular Sciences Laboratory
Gordon A. Anderson
Gordon A. Anderson Pacific Northwest National Laboratory
Tao Liu
Tao Liu Pacific Northwest National Laboratory
Mary S. Lipton
Mary S. Lipton Pacific Northwest National Laboratory

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Matthew E. Monroe

Trending Scientists

Recently Published Articles