World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
67
Citations
21931
World Ranking
8082
National Ranking
3659

Tao Liu 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 Tao Liu 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: 185 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Tao Liu 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 Tao Liu 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: 67 D-Index — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Overview

Tao Liu is affiliated with the Pacific Northwest National Laboratory in the United States. Their research spans multiple scientific fields, with a primary focus on Earth and Planetary Sciences as well as Environmental Science. Within these domains, Liu's work extensively covers subfields such as Geophysics and Environmental Chemistry, alongside contributions to Astronomy and Astrophysics, Molecular Biology, and Spectroscopy.

The scientist's main research topics include seismic waves and analysis, methane hydrates and related phenomena, earthquake detection and analysis, and ionosphere and magnetosphere dynamics. Additionally, Liu has engaged in advanced proteomics techniques and applications, mass spectrometry techniques and applications, and studies involving RNA modifications and cancer.

Liu has co-authored numerous publications with frequent collaborators including Karin Rodland, Tujin Shi, Yi-Ting Wang, Athena Schepmoes, and Thomas Fillmore. Their work has been published in a variety of venues, with a large number of publications included in OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). Other frequent publication venues include bioRxiv (Cold Spring Harbor Laboratory), Cancer Research, Cancer Cell, and the European Heart Journal.

Some of Liu's recent scientific contributions are:

  • Proteogenomic and metabolomic characterization of human glioblastoma, 2021, Cancer Cell
  • Integrated Proteogenomic Characterization across Major Histological Types of Pediatric Brain Cancer, 2020, Cell
  • High-throughput and high-efficiency sample preparation for single-cell proteomics using a nested nanowell chip, 2021, Nature Communications
  • An Improved Boosting to Amplify Signal with Isobaric Labeling (iBASIL) Strategy for Precise Quantitative Single-cell Proteomics, 2020, Molecular & Cellular Proteomics
  • Automated Coupling of Nanodroplet Sample Preparation with Liquid Chromatography-Mass Spectrometry for High-Throughput Single-Cell Proteomics, 2020, Analytical Chemistry

Best Publications

  • Proteogenomic characterization of human colon and rectal cancer

    Bing Zhang;Jing Wang;Xiaojing Wang;Jing Zhu

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

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

  • 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

  • Targeted Peptide Measurements in Biology and Medicine: Best Practices for Mass Spectrometry-based Assay Development Using a Fit-for-Purpose Approach

    Steven A. Carr;Susan E. Abbatiello;Bradley L. Ackermann;Christoph Borchers

  • 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

  • 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

  • Ischemia in Tumors Induces Early and Sustained Phosphorylation Changes in Stress Kinase Pathways but Does Not Affect Global Protein Levels

    Philipp Mertins;Feng Yang;Tao Liu;D. R. Mani

  • Proteogenomic Landscape of Breast Cancer Tumorigenesis and Targeted Therapy.

    Karsten Krug;Eric J. Jaehnig;Shankha Satpathy;Lili Blumenberg

  • A proteogenomic portrait of lung squamous cell carcinoma

    Shankha Satpathy;Karsten Krug;Pierre M. Jean Beltran;Sara R. Savage

  • Proteogenomic characterization of pancreatic ductal adenocarcinoma

    Liwei Cao;Chen Huang;Daniel Cui Zhou;Yingwei Hu

  • Proteogenomic insights into the biology and treatment of HPV-negative head and neck squamous cell carcinoma

    Chen Huang;Lijun Chen;Sara R. Savage;Rodrigo Vargas Eguez

  • Proteogenomic Characterization of Endometrial Carcinoma.

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

  • 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

Frequent Co-Authors

Richard D. Smith
Richard D. Smith Pacific Northwest National Laboratory
Wei-Jun Qian
Wei-Jun Qian Pacific Northwest National Laboratory
David G. Camp
David G. Camp Pacific Northwest National Laboratory
Karin D. Rodland
Karin D. Rodland Pacific Northwest National Laboratory
Ronald J. Moore
Ronald J. Moore Pacific Northwest National Laboratory
Marina A. Gritsenko
Marina A. Gritsenko Pacific Northwest National Laboratory
Matthew E. Monroe
Matthew E. Monroe Pacific Northwest National Laboratory
Daniel W. Chan
Daniel W. Chan Johns Hopkins University School of Medicine
Steven A. Carr
Steven A. Carr Broad Institute
Rui Zhao
Rui Zhao Environmental Molecular Sciences Laboratory

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