World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
90
Citations
33848
World Ranking
2415
National Ranking
1282

Weida Tong 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 Weida Tong 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: 396 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Weida Tong 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 Weida Tong 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: 90 D-Index — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Overview

Weida Tong is affiliated with the National Center for Toxicological Research in the United States. Their research primarily focuses on the intersection of biochemistry, genetics, and molecular biology, with a strong emphasis on molecular biology, computational theory and mathematics, cancer research, pharmacology, and genetics.

The scientist's work spans several main topics, including:

  • Computational Drug Discovery Methods
  • Molecular Biology Techniques and Applications
  • Cancer Genomics and Diagnostics
  • Gene expression and cancer classification
  • Pharmacovigilance and Adverse Drug Reactions
  • Pharmacogenetics and Drug Metabolism
  • Genomics and Rare Diseases

Weida Tong has contributed to numerous publications that appear frequently in recognized venues. The most common publication outlets include:

  • Drug Discovery Today
  • Genome biology
  • Chemical Research in Toxicology
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Frontiers in Artificial Intelligence

Among the recent papers associated with Weida Tong are the following:

  • Transparency and reproducibility in artificial intelligence, 2020, Nature
  • Reporting guidelines for human microbiome research: the STORMS checklist, 2021, Nature Medicine
  • Regulatory landscape of nanotechnology and nanoplastics from a global perspective, 2021, Regulatory Toxicology and Pharmacology
  • Regulatory landscape of dietary supplements and herbal medicines from a global perspective, 2020, Regulatory Toxicology and Pharmacology
  • Evaluating the analytical validity of circulating tumor DNA sequencing assays for precision oncology, 2021, Nature Biotechnology

The scientist frequently collaborates with colleagues in their field. Notable co-authors include Joshua Xu, Huixiao Hong, Ruth Roberts, Leihong Wu, and Shraddha Thakkar.

Best Publications

  • The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements

    Leming Shi;Laura H. Reid;Wendell D. Jones;Richard Shippy

  • The Microarray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models

    Leming Shi;Gregory Campbell;Wendell D. Jones;Fabien Campagne

  • A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium

    Zhenqiang Su;Paweł P. Łabaj;Sheng Li;Jean Thierry-Mieg

  • The Estrogen Receptor Relative Binding Affinities of 188 Natural and Xenochemicals: Structural Diversity of Ligands

    Robert M. Blair;Hong Fang;William S. Branham;Bruce S. Hass

  • Current status of methods for defining the applicability domain of (quantitative) structure-activity relationships. The report and recommendations of ECVAM Workshop 52.

    Tatiana I. Netzeva;Andrew P. Worth;Tom Aldenberg;Romualdo Benigni

  • Performance comparison of one-color and two-color platforms within the Microarray Quality Control (MAQC) project

    Tucker A Patterson;Edward K Lobenhofer;Stephanie B Fulmer-Smentek;Patrick J Collins

  • Structure-activity relationships for a large diverse set of natural, synthetic, and environmental estrogens.

    Hong Fang;Weida Tong;Leming M. Shi;Robert Blair

  • The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance

    Charles Wang;Binsheng Gong;Pierre R. Bushel;Jean Thierry-Mieg

  • Toward interoperable bioscience data

    Susanna-Assunta Sansone;Philippe Rocca-Serra;Dawn Field;Eamonn Maguire

  • Rat toxicogenomic study reveals analytical consistency across microarray platforms

    Lei Guo;Edward K Lobenhofer;Charles Wang;Richard Shippy

  • Study of 202 natural, synthetic, and environmental chemicals for binding to the androgen receptor.

    Hong Fang;Weida Tong;William S. Branham;Carrie L. Moland

  • Comparison of RNA-seq and microarray-based models for clinical endpoint prediction.

    Wenqian Zhang;Ying Yu;Falk Hertwig;Falk Hertwig;Jean Thierry-Mieg

  • QSAR models using a large diverse set of estrogens

    Leming M. Shi;Hong Fang;Weida Tong;Jie Wu

  • FDA-approved drug labeling for the study of drug-induced liver injury.

    Minjun Chen;Vikrant Vijay;Qiang Shi;Zhichao Liu

  • The balance of reproducibility, sensitivity, and specificity of lists of differentially expressed genes in microarray studies

    Leming Shi;Wendell D. Jones;Roderick V. Jensen;Stephen C. Harris

  • ISA software suite

    Philippe Rocca-Serra;Marco Brandizi;Eamonn Maguire;Eamonn Maguire;Nataliya Sklyar

  • A rat RNA-Seq transcriptomic BodyMap across 11 organs and 4 developmental stages.

    Ying Yu;James C. Fuscoe;Chen Zhao;Chao Guo

  • High lipophilicity and high daily dose of oral medications are associated with significant risk for drug-induced liver injury†‡§¶

    Minjun Chen;Jürgen Borlak;Weida Tong

  • A comparison of batch effect removal methods for enhancement of prediction performance using MAQC-II microarray gene expression data

    J. Luo;M. Schumacher;A. Scherer;D. Sanoudou

  • Quantitative structure‐activity relationship methods: Perspectives on drug discovery and toxicology

    Roger Perkins;Hong Fang;Weida Tong;William J. Welsh

Frequent Co-Authors

Huixiao Hong
Huixiao Hong United States Food and Drug Administration
Hong Fang
Hong Fang National Center for Toxicological Research
Leming Shi
Leming Shi Fudan University
Roger Perkins
Roger Perkins United States Food and Drug Administration
Lei Guo
Lei Guo National Center for Toxicological Research
Xiaowei Xu
Xiaowei Xu University of Arkansas at Little Rock
Pierre R. Bushel
Pierre R. Bushel National Institutes of Health
Cesare Furlanello
Cesare Furlanello Fondazione Bruno Kessler
Ruili Huang
Ruili Huang National Institutes of Health
Yuri Nikolsky
Yuri Nikolsky F1 Genomics

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