World's Best Scientists 2026 revealed!
Award Badge
Best Scientists
2025
Award Badge
Biology and Biochemistry
USA
2023

D-Index & Metrics

Best Scientists

D-Index
175
Citations
88148
World Ranking
726
National Ranking
450

Biology and Biochemistry

D-Index
176
Citations
89472
World Ranking
72
National Ranking
58

Kuo-Chen Chou 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 Kuo-Chen Chou 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: 608 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

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

Kuo-Chen Chou 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 Kuo-Chen Chou 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: 176 D-Index — 100th percentile

100% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Best Scientists Award
  • 2023 - Research.com Biology and Biochemistry in United States Leader Award

Overview

Kuo-Chen Chou was a researcher affiliated with The Gordon Life Science Institute in the United States. Their work spanned several areas within biochemistry, genetics, and molecular biology, focusing significantly on computational applications in bioinformatics.

The scientist's main fields of study included:

  • Biochemistry, Genetics and Molecular Biology

Within this broad field, their subfields of research comprised:

  • Molecular Biology
  • Computational Theory and Mathematics

Kuo-Chen Chou's main research topics covered multiple aspects of bioinformatics and molecular biology, including:

  • Machine Learning in Bioinformatics
  • RNA and protein synthesis mechanisms
  • Computational Drug Discovery Methods
  • RNA modifications and cancer
  • Genomics and Phylogenetic Studies

The scientist published in several academic venues, which included:

  • Natural Science
  • Voice of the Publisher
  • Current Topics in Medicinal Chemistry
  • Immunome Research

Kuo-Chen Chou co-authored with Guo-Ping Zhou, among others, reflecting collaboration within their research community.

Their recent publications included:

  • The Problem of Elsevier Series Journals Online Submission by Using Artificial Intelligence, 2020, Natural Science
  • Two Latest Hot Researches in Medicinal Chemistry, 2020, Current Topics in Medicinal Chemistry
  • The Significant and Profound Impacts of Chou's "wenxiang" Diagram, 2020, Voice of the Publisher
  • Recent Progresses for Computationally Identifying N6-methyladenosine Sites in Saccharomyces cerevisiae, 2020, Immunome Research

Best Publications

  • Prediction of protein cellular attributes using pseudo‐amino acid composition

    Kuo-Chen Chou

  • Some remarks on protein attribute prediction and pseudo amino acid composition.

    Kuo-Chen Chou

  • Cell-PLoc: a package of Web servers for predicting subcellular localization of proteins in various organisms.

    Kuo-Chen Chou;Hong-Bin Shen

  • Prediction of protein structural classes.

    Kuo-Chen Chou;Chun-Ting Zhang

  • Plant-mPLoc: A Top-Down Strategy to Augment the Power for Predicting Plant Protein Subcellular Localization

    Kuo-Chen Chou;Hong-Bin Shen

  • Recent progress in protein subcellular location prediction

    Kuo-Chen Chou;Hong-Bin Shen

  • Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes

    Kuo-Chen Chou

  • Structural bioinformatics and its impact to biomedical science.

    Kuo-Chen Chou

  • iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences.

    Zhen Chen;Pei Zhao;Fuyi Li;André Leier

  • iRSpot-PseDNC: identify recombination spots with pseudo dinucleotide composition

    Wei Chen;Peng-Mian Feng;Hao Lin;Kuo-Chen Chou

  • Prediction of linear B-cell epitopes using amino acid pair antigenicity scale

    J. Chen;H. Liu;J. Yang;K.-C. Chou

  • Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences

    Bin Liu;Fule Liu;Xiaolong Wang;Junjie Chen

  • iAMP-2L: A two-level multi-label classifier for identifying antimicrobial peptides and their functional types

    Xuan Xiao;Pu Wang;Wei-Zhong Lin;Jian-Hua Jia

  • Using functional domain composition and support vector machines for prediction of protein subcellular location.

    Kuo-Chen Chou;Yu-Dong Cai

  • PseAAC : A flexible web server for generating various kinds of protein pseudo amino acid composition

    Hong-Bin Shen;Kuo-Chen Chou

  • Pseudo Amino Acid Composition and its Applications in Bioinformatics, Proteomics and System Biology

    Kuo-Chen Chou

  • Impacts of bioinformatics to medicinal chemistry.

    Kuo-Chen Chou

  • Some remarks on predicting multi-label attributes in molecular biosystems

    Kuo-Chen Chou

  • REVIEW : Recent advances in developing web-servers for predicting protein attributes

    Kuo-Chen Chou;Hong-Bin Shen

  • Structural Bioinformatics and its Impact to Biomedical Science and Drug Discovery

    Kuo-Chen Chou

Frequent Co-Authors

Yu-Dong Cai
Yu-Dong Cai Shanghai University
Hong-Bin Shen
Hong-Bin Shen Shanghai Jiao Tong University
Dong-Qing Wei
Dong-Qing Wei Shanghai Jiao Tong University
Xuan Xiao
Xuan Xiao Jingdezhen Ceramic Institute
Wei Chen
Wei Chen Chengdu University of Traditional Chinese Medicine
Hao Lin
Hao Lin University of Electronic Science and Technology of China
Jiangning Song
Jiangning Song Monash University
Chun-Ting Zhang
Chun-Ting Zhang Tianjin University
Bin Liu
Bin Liu National University of Singapore
Harold A. Scheraga
Harold A. Scheraga Cornell University

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 Kuo-Chen Chou

Recently Published Articles