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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Biology and Biochemistry 90 2414 2209 1281 1148 396 33848

Weida Tong publications per year

The chart shows the history of publications by Weida Tong between 1996 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Weida Tong published across 30 years, from 1996 to 2025, averaging 16.7 papers a year. Output peaked at 53 publications in 2022. 35 of the 500 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 1996 to 2025. Vertical axis: number of publications, 0 to 53. Peak 53 publications in 2022. 1996: 2 publications 1997: 3 publications 1998: 1 publication 1999: 1 publication 2000: 3 publications 2001: 3 publications 2002: 3 publications 2003: 12 publications 2004: 9 publications 2005: 12 publications 2006: 16 publications 2007: 7 publications 2008: 9 publications 2009: 14 publications 2010: 24 publications 2011: 18 publications 2012: 15 publications 2013: 19 publications 2014: 33 publications 2015: 16 publications 2016: 27 publications 2017: 28 publications 2018: 20 publications 2019: 20 publications 2020: 29 publications 2021: 39 publications 2022: 53 publications 2023: 29 publications 2024: 20 publications 2025: 15 publications
1996 2025

500 publications in total across all disciplines

View publications per year as a table
Weida Tong: publications per year, 1996 to 2025
Year Publications
1996 2
1997 3
1998 1
1999 1
2000 3
2001 3
2002 3
2003 12
2004 9
2005 12
2006 16
2007 7
2008 9
2009 14
2010 24
2011 18
2012 15
2013 19
2014 33
2015 16
2016 27
2017 28
2018 20
2019 20
2020 29
2021 39
2022 53
2023 29
2024 20
2025 15
Total 500
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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.

No. of scientists
200 400 600 800
Bar chart with 100 bars. Horizontal axis: publications, 47–56 to 1,028+. Vertical axis: number of scientists, 0 to 980. Most scientists, 980, have 127–136 publications. The last bar groups every scientist with 1,028 publications or more. The highlighted bar, 387–396 publications, is where this scientist sits. 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 scientist 997–1,006 publications: 5 scientists 1,007–1,016 publications: 2 scientists 1,017–1,026 publications: 2 scientists 1,027 publications: 1 scientist 1,028+ publications: 100 scientists
47–56 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.

View publications distribution as a table
Number of Biology and Biochemistry scientists by publication count, Research.com 2026 ranking edition. Based on 19,587 ranked scientists.
Publications Scientists This scientist
47–56 8
57–66 35
67–76 106
77–86 231
87–96 413
97–106 546
107–116 704
117–126 848
127–136 980
137–146 942
147–156 969
157–166 949
167–176 951
177–186 915
187–196 787
197–206 840
207–216 733
217–226 708
227–236 651
237–246 605
247–256 510
257–266 524
267–276 434
277–286 417
287–296 350
297–306 363
307–316 315
317–326 296
327–336 261
337–346 240
347–356 219
357–366 196
367–376 154
377–386 161
387–396 155 396
397–406 145
407–416 124
417–426 112
427–436 132
437–446 116
447–456 99
457–466 81
467–476 91
477–486 80
487–496 80
497–506 59
507–516 36
517–526 46
527–536 54
537–546 44
547–556 43
557–566 43
567–576 42
577–586 25
587–596 34
597–606 23
607–616 33
617–626 31
627–636 27
637–646 25
647–656 28
657–666 34
667–676 18
677–686 16
687–696 10
697–706 12
707–716 21
717–726 12
727–736 12
737–746 10
747–756 7
757–766 13
767–776 15
777–786 13
787–796 9
797–806 9
807–816 7
817–826 4
827–836 9
837–846 7
847–856 3
857–866 5
867–876 5
877–886 11
887–896 3
897–906 4
907–916 7
917–926 5
927–936 6
937–946 6
947–956 3
957–966 7
967–976 2
977–986 2
987–996 1
997–1,006 5
1,007–1,016 2
1,017–1,026 2
1,027 1
1,028+ 100
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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.

No. of scientists
250 500 750 1,000 1,250
Bar chart with 65 bars. Horizontal axis: D-Index, 40–41 to 167+. Vertical axis: number of scientists, 0 to 1,253. Most scientists, 1,253, have 58–59 D-Index. The last bar groups every scientist with 167 D-Index or more. The highlighted bar, 90–91 D-Index, is where this scientist sits. 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
40–41 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.

View D-Index distribution as a table
Number of Biology and Biochemistry scientists by D-index, Research.com 2026 ranking edition. Based on 19,587 ranked scientists.
D-Index Scientists This scientist
40–41 80
42–43 183
44–45 316
46–47 504
48–49 718
50–51 899
52–53 1,025
54–55 1,149
56–57 1,235
58–59 1,253
60–61 1,162
62–63 1,130
64–65 1,031
66–67 897
68–69 814
70–71 714
72–73 709
74–75 596
76–77 512
78–79 473
80–81 412
82–83 373
84–85 358
86–87 285
88–89 273
90–91 227 90
92–93 208
94–95 193
96–97 153
98–99 157
100–101 148
102–103 120
104–105 113
106–107 100
108–109 86
110–111 67
112–113 71
114–115 73
116–117 64
118–119 53
120–121 60
122–123 54
124–125 43
126–127 38
128–129 49
130–131 26
132–133 18
134–135 23
136–137 32
138–139 32
140–141 27
142–143 19
144–145 22
146–147 12
148–149 16
150–151 14
152–153 10
154–155 13
156–157 10
158–159 7
160–161 9
162–163 13
164–165 4
166 4
167+ 98
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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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