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Yu-Dong Cai
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Biology and Biochemistry
China
2023

D-Index & Metrics

Biology and Biochemistry

D-Index
78
Citations
19613
World Ranking
4599
National Ranking
140

Yu-Dong Cai 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 Yu-Dong Cai 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: 359 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Yu-Dong Cai 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 Yu-Dong Cai 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: 78 D-Index — 77th percentile

77% 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

  • 2023 - Research.com Biology and Biochemistry in China Leader Award

Overview

Yu-Dong Cai is affiliated with Shanghai University in China and has a substantial research output in the fields of Biochemistry, Genetics and Molecular Biology, and Medicine. Their work encompasses a variety of subfields including Molecular Biology, Cancer Research, Infectious Diseases, Immunology, and Biomedical Engineering.

The scientist's research topics include:

  • Machine Learning in Bioinformatics
  • Cancer-related molecular mechanisms research
  • Bioinformatics and Genomic Networks
  • SARS-CoV-2 and COVID-19 Research
  • MicroRNA in disease regulation
  • Gene expression and cancer classification
  • COVID-19 diagnosis using AI

Yu-Dong Cai has frequently published in these venues:

  • Frontiers in Genetics
  • Life
  • BioMed Research International
  • Journal of Contemporary Educational Research
  • SSRN Electronic Journal

Among recent papers associated with their research, notable examples include:

  • Determining protein-protein functional associations by functional rules based on gene ontology and KEGG pathway (2021) in Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics
  • Identifying Transcriptomic Signatures and Rules for SARS-CoV-2 Infection (2021) in Frontiers in Cell and Developmental Biology
  • Protein-protein interaction networks as miners of biological discovery (2022) in PROTEOMICS
  • Analysis and prediction of protein stability based on interaction network, gene ontology, and KEGG pathway enrichment scores (2023) in Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics
  • Identification of Protein Subcellular Localization With Network and Functional Embeddings (2021) in Frontiers in Genetics

Frequent co-authors collaborating with Yu-Dong Cai include:

  • Tao Huang
  • Lei Chen
  • Kaiyan Feng
  • Yuhang Zhang
  • Wei Guo

Best Publications

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

    Kuo-Chen Chou;Yu-Dong Cai

  • Prediction and analysis of essential genes using the enrichments of gene ontology and KEGG pathways

    Lei Chen;Yu-Hang Zhang;ShaoPeng Wang;YunHua Zhang

  • Support vector machines for predicting membrane protein types by using functional domain composition.

    Yu-Dong Cai;Guo-Ping Zhou;Kuo-Chen Chou

  • Whole-genome resequencing reveals world-wide ancestry and adaptive introgression events of domesticated cattle in East Asia

    Ningbo Chen;Yudong Cai;Qiuming Chen;Ran Li

  • Predicting drug-target interaction networks based on functional groups and biological features.

    Zhisong He;Jian Zhang;Xiao-He Shi;Le-Le Hu

  • Prediction of protein structural classes by support vector machines

    Yu-Dong Cai;Xiao-Jun Liu;Xue-biao Xu;Kuo-Chen Chou

  • Predicting Anatomical Therapeutic Chemical (ATC) Classification of Drugs by Integrating Chemical-Chemical Interactions and Similarities

    Lei Chen;Wei-Ming Zeng;Yu-Dong Cai;Kai-Yan Feng

  • Using LogitBoost classifier to predict protein structural classes.

    Yu-Dong Cai;Kai-Yan Feng;Wen-Cong Lu;Kuo-Chen Chou

  • Predicting protein structural class by functional domain composition.

    Kuo-Chen Chou;Yu-Dong Cai

  • Prediction of protein subcellular locations by GO–FunD–PseAA predictor

    Kuo-Chen Chou;Yu-Dong Cai

  • Prediction of Membrane Protein Types by Incorporating Amphipathic Effects

    Kuo-Chen Chou;Yu-Dong Cai

  • Support Vector Machines for predicting protein structural class

    Yu-Dong Cai;Xiao-Jun Liu;Xue-biao Xu;Guo-Ping Zhou

  • Prediction and classification of protein subcellular location—sequence‐order effect and pseudo amino acid composition

    Kuo-Chen Chou;Yu-Dong Cai

  • Identification of Colorectal Cancer Related Genes with mRMR and Shortest Path in Protein-Protein Interaction Network

    Bi-Qing Li;Tao Huang;Lei Liu;Yu-Dong Cai;Yu-Dong Cai

  • Predicting protein-protein interactions from sequences in a hybridization space

    Kuo-Chen Chou;Yu-Dong Cai

  • Prediction of antimicrobial peptides based on sequence alignment and feature selection methods.

    Ping Wang;Lele Hu;Guiyou Liu;Nan Jiang

  • Application of SVM to predict membrane protein types.

    Yu-Dong Cai;Pong-Wong Ricardo;Chih-Hung Jen;Kuo-Chen Chou

  • Predicting protein quaternary structure by pseudo amino acid composition.

    Kuo-Chen Chou;Yu-Dong Cai

  • Predicting Functions of Proteins in Mouse Based on Weighted Protein-Protein Interaction Network and Protein Hybrid Properties

    Lele Hu;Tao Huang;Xiaohe Shi;Wen-Cong Lu

  • Support vector machines for predicting rRNA-, RNA-, and DNA-binding proteins from amino acid sequence.

    Yu-dong Cai;Shuo Liang Lin

Frequent Co-Authors

Tao Huang
Tao Huang Chinese Academy of Sciences
Kuo-Chen Chou
Kuo-Chen Chou The Gordon Life Science Institute
Xiangyin Kong
Xiangyin Kong Chinese Academy of Sciences
Yixue Li
Yixue Li Chinese Academy of Sciences
Mingyue Zheng
Mingyue Zheng Chinese Academy of Sciences
Guojie Zhang
Guojie Zhang Zhejiang University
Andrew J. Doig
Andrew J. Doig University of Manchester
Hanry Yu
Hanry Yu National University of Singapore
Peer Bork
Peer Bork European Molecular Biology Laboratory
Daniel G. Bradley
Daniel G. Bradley Trinity College Dublin

External Links

Personal website of Yu-Dong Cai

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With growing demand for skilled health and science professionals, online degrees and certificates create dynamic routes for career advancement in biology-related fields.

Best Scientists Citing Yu-Dong Cai

Kuo-Chen Chou

Kuo-Chen Chou

The Gordon Life Science Institute

Publications: 181

Wei Chen

Wei Chen

Chengdu University of Traditional Chinese Medicine

Publications: 61

Hao Lin

Hao Lin

University of Electronic Science and Technology of China

Publications: 57

Hong-Bin Shen

Hong-Bin Shen

Shanghai Jiao Tong University

Publications: 56

Quan Zou

Quan Zou

University of Electronic Science and Technology of China

Publications: 44

Humberto González-Díaz

Humberto González-Díaz

University of the Basque Country

Publications: 42

Maqsood Hayat

Maqsood Hayat

Abdul Wali Khan University Mardan

Publications: 38

Xuan Xiao

Xuan Xiao

Jingdezhen Ceramic Institute

Publications: 33

Hui Ding

Hui Ding

University of Electronic Science and Technology of China

Publications: 32

Loris Nanni

Loris Nanni

University of Padua

Publications: 29

Gajendra P. S. Raghava

Gajendra P. S. Raghava

Indraprastha Institute of Information Technology Delhi

Publications: 29

Jiangning Song

Jiangning Song

Monash University

Publications: 27

Lukasz Kurgan

Lukasz Kurgan

Virginia Commonwealth University

Publications: 26

Alessandra Lumini

Alessandra Lumini

University of Bologna

Publications: 26

Bin Liu

Bin Liu

National University of Singapore

Publications: 25

Hong Chen

Hong Chen

Northwest A&F University

Publications: 25

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