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Hong Fang

D-Index & Metrics

Biology and Biochemistry

D-Index
68
Citations
19666
World Ranking
7698
National Ranking
3508

Hong Fang 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 Hong Fang 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: 160 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Hong Fang 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 Hong Fang 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: 68 D-Index — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Overview

Hong Fang is affiliated with the National Center for Toxicological Research in the United States. Their research primarily lies within the field of Medicine, focusing extensively on Dermatology, Rheumatology, Immunology, Epidemiology, and Pathology and Forensic Medicine as notable subfields.

The main topics covered in their research include:

  • Dermatology and Skin Diseases
  • Autoimmune and Inflammatory Disorders Research
  • Eosinophilic Disorders and Syndromes
  • Autoimmune Bullous Skin Diseases
  • Psoriasis: Treatment and Pathogenesis
  • Urticaria and Related Conditions
  • Contact Dermatitis and Allergies

Frequent publication venues for Hong Fang include:

  • International Journal of Dermatology
  • Journal of Asthma and Allergy
  • Plant Cell Reports
  • Chinese Medical Journal
  • Journal of Inflammation Research

Among their recent papers are:

  • The IL-23/IL-17 Pathway in Inflammatory Skin Diseases: From Bench to Bedside, 2020, Frontiers in Immunology
  • Guideline for the diagnosis, treatment and long-term management of cutaneous lupus erythematosus, 2021, Journal of Autoimmunity
  • Cellular engineering of plant cells for improved therapeutic protein production, 2021, Plant Cell Reports
  • Impact of RNA-seq data analysis algorithms on gene expression estimation and downstream prediction, 2020, Scientific Reports
  • A double-blind, randomized, placebo- and positive-controlled phase III trial of 1% benvitimod cream in mild-to-moderate plaque psoriasis, 2020, Chinese Medical Journal

Hong Fang collaborates frequently with several coauthors including Jianjun Qiao, Shuni Ying, Shunli Tang, Juan Bai, and Taoming Liu, among others.

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

  • 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

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

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

  • 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

  • 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

  • Mold2, Molecular Descriptors from 2D Structures for Chemoinformatics and Toxicoinformatics

    Huixiao Hong;Qian Xie;Weigong Ge;Feng Qian

  • Quantitative comparisons of in vitro assays for estrogenic activities.

    Hong Fang;Weida Tong;Roger Perkins;Ana M. Soto

  • Negative thermal expansion and associated anomalous physical properties: review of the lattice dynamics theoretical foundation.

    Martin T Dove;Hong Fang

  • ArrayTrack--supporting toxicogenomic research at the U.S. Food and Drug Administration National Center for Toxicological Research.

    Weida Tong;Xiaoxi Cao;Stephen Harris;Hongmei Sun

  • Decision Forest: Combining the Predictions of Multiple Independent Decision Tree Models

    Weida Tong;Huixiao Hong;Hong Fang;Qian Xie

  • Cross-platform comparability of microarray technology: intra-platform consistency and appropriate data analysis procedures are essential.

    Leming Shi;Weida Tong;Hong Fang;Uwe Scherf

Frequent Co-Authors

Weida Tong
Weida Tong National Center for Toxicological Research
Leming Shi
Leming Shi Fudan University
Roger Perkins
Roger Perkins United States Food and Drug Administration
Huixiao Hong
Huixiao Hong 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
Raj K. Puri
Raj K. Puri US Food and Drug Administration
Yuri Nikolsky
Yuri Nikolsky F1 Genomics
Richard S. Paules
Richard S. Paules National Institutes of Health

External Links

Personal website of Hong Fang

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Best Scientists Citing Hong Fang

Weida Tong

Weida Tong

National Center for Toxicological Research

Publications: 114

Leming Shi

Leming Shi

Fudan University

Publications: 69

Huixiao Hong

Huixiao Hong

United States Food and Drug Administration

Publications: 63

Susanna-Assunta Sansone

Susanna-Assunta Sansone

University of Oxford

Publications: 44

May D. Wang

May D. Wang

Georgia Institute of Technology

Publications: 40

Jos C. S. Kleinjans

Jos C. S. Kleinjans

Maastricht University

Publications: 37

Cesare Furlanello

Cesare Furlanello

Fondazione Bruno Kessler

Publications: 36

Philippe Rocca-Serra

Philippe Rocca-Serra

University of Oxford

Publications: 33

Giuseppe Jurman

Giuseppe Jurman

Fondazione Bruno Kessler

Publications: 32

Lei Guo

Lei Guo

National Center for Toxicological Research

Publications: 31

Christopher E. Mason

Christopher E. Mason

Cornell University

Publications: 29

Benjamin Haibe-Kains

Benjamin Haibe-Kains

Princess Margaret Cancer Centre

Publications: 28

Lajos Pusztai

Lajos Pusztai

Yale University

Publications: 25

Pierre R. Bushel

Pierre R. Bushel

National Institutes of Health

Publications: 24

Mark T. D. Cronin

Mark T. D. Cronin

Liverpool John Moores University

Publications: 23

Kunwar P. Singh

Kunwar P. Singh

National Institute of Technology Tiruchirappalli

Publications: 23

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