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Biology and Biochemistry
China
2023

D-Index & Metrics

Biology and Biochemistry

D-Index
84
Citations
21377
World Ranking
3384
National Ranking
94

Hao Lin 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 Hao Lin 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: 334 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Hao Lin 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 Hao Lin 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: 84 D-Index — 84th percentile

84% 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

Hao Lin is affiliated with the University of Electronic Science and Technology of China. Their research spans extensive work within the fields of Biochemistry, Genetics, and Molecular Biology, with a particular focus on Molecular Biology as the primary subfield. Additional subfields of study include Cancer Research, Materials Chemistry, Computational Theory and Mathematics, and Surgery.

The scientist's research topics cover several specialized areas related to bioinformatics and molecular biology. These topics include:

  • Machine Learning in Bioinformatics
  • Genomics and Phylogenetic Studies
  • RNA and protein synthesis mechanisms
  • Cancer-related molecular mechanisms research
  • RNA modifications and cancer
  • Computational Drug Discovery Methods
  • Genomics and Chromatin Dynamics

Hao Lin has contributed multiple significant publications, some of which have garnered notable citations. Recent papers include:

  • "Attention is all you need: utilizing attention in AI-enabled drug discovery," 2023, published in Briefings in Bioinformatics
  • "Tumor cell plasticity in targeted therapy-induced resistance: mechanisms and new strategies," 2023, published in Signal Transduction and Targeted Therapy
  • "DM3Loc: multi-label mRNA subcellular localization prediction and analysis based on multi-head self-attention mechanism," 2021, published in Nucleic Acids Research
  • "Design powerful predictor for mRNA subcellular location prediction in Homo sapiens," 2020, published in Briefings in Bioinformatics
  • "Deep-Kcr: accurate detection of lysine crotonylation sites using deep learning method," 2020, published in Briefings in Bioinformatics

The scientist frequently publishes in journals such as Briefings in Bioinformatics, International Journal of Molecular Sciences, arXiv (Cornell University), Computational and Structural Biotechnology Journal, and International Journal of Biological Macromolecules.

Collaboration emerges as a key aspect of Hao Lin's career, working often with coauthors such as Hao Lv, Fanny Dao, Kejun Deng, Hasan Zulfiqar, and Yuhe R. Yang.

Best Publications

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

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

  • iPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition.

    Hao Lin;En-Ze Deng;Hui Ding;Wei Chen

  • PseKNC: a flexible web server for generating pseudo K-tuple nucleotide composition.

    Wei Chen;Tian-Yu Lei;Dian-Chuan Jin;Hao Lin

  • iNuc-PseKNC: a sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition

    Shou-Hui Guo;En-Ze Deng;Li-Qin Xu;Hui Ding

  • iACP: a sequence-based tool for identifying anticancer peptides

    Wei Chen;Hui Ding;Pengmian Feng;Hao Lin

  • iRNA-Methyl: Identifying N(6)-methyladenosine sites using pseudo nucleotide composition.

    Wei Chen;Pengmian Feng;Hui Ding;Hao Lin

  • The modified Mahalanobis Discriminant for predicting outer membrane proteins by using Chou's pseudo amino acid composition

    Hao Lin

  • Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences

    Wei Chen;Hao Lin;Hao Lin;Kuo-Chen Chou

  • iRNA-PseU: Identifying RNA pseudouridine sites

    Wei Chen;Hua Tang;Jing Ye;Hao Lin

  • iLoc-lncRNA: predict the subcellular location of lncRNAs by incorporating octamer composition into general PseKNC.

    Zhen-Dong Su;Yan Huang;Zhao-Yue Zhang;Ya-Wei Zhao

  • iDNA6mA-PseKNC: Identifying DNA N6-methyladenosine sites by incorporating nucleotide physicochemical properties into PseKNC.

    Pengmian Feng;Hui Yang;Hui Ding;Hao Lin

  • iHSP-PseRAAAC: Identifying the heat shock protein families using pseudo reduced amino acid alphabet composition

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

  • iRNA-PseColl: Identifying the Occurrence Sites of Different RNA Modifications by Incorporating Collective Effects of Nucleotides into PseKNC.

    Pengmian Feng;Hui Ding;Hui Yang;Wei Chen

  • iTIS-PseTNC: a sequence-based predictor for identifying translation initiation site in human genes using pseudo trinucleotide composition.

    Wei Chen;Peng-Mian Feng;En-Ze Deng;Hao Lin

  • Embedding Temporal Network via Neighborhood Formation

    Yuan Zuo;Guannan Liu;Hao Lin;Jia Guo

  • iDNA4mC: identifying DNA N4-methylcytosine sites based on nucleotide chemical properties.

    Wei Chen;Hui Yang;Pengmian Feng;Hui Ding

  • Predicting Subcellular Localization of Mycobacterial Proteins by Using Chous Pseudo Amino Acid Composition

    Hao Lin;Hui Ding;Feng-Biao Guo;An-Ying Zhang

  • iCTX-type: a sequence-based predictor for identifying the types of conotoxins in targeting ion channels.

    Hui Ding;En-Ze Deng;Lu-Feng Yuan;Li Liu

  • PseKNC-General: A cross-platform package for generating various modes of pseudo nucleotide compositions

    Wei Chen;Xitong Zhang;Jordan Brooker;Hao Lin

  • iSS-PseDNC: Identifying Splicing Sites Using Pseudo Dinucleotide Composition

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

Frequent Co-Authors

Wei Chen
Wei Chen Chengdu University of Traditional Chinese Medicine
Hui Ding
Hui Ding University of Electronic Science and Technology of China
Kuo-Chen Chou
Kuo-Chen Chou The Gordon Life Science Institute
Junjie Wu
Junjie Wu Beihang University
Leopoldo G. Franquelo
Leopoldo G. Franquelo University of Seville
Ligang Wu
Ligang Wu Harbin Institute of Technology
Hui Xiong
Hui Xiong Rutgers, The State University of New Jersey
Jose I. Leon
Jose I. Leon University of Seville
Dong Xu
Dong Xu University of Missouri
Andrew H. Paterson
Andrew H. Paterson University of Georgia

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