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Kaixian Chen

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Chemistry 73 4938 4485 913 901 424 19900

Kaixian Chen publications per year

The chart shows the history of publications by Kaixian Chen between 1987 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Kaixian Chen published across 39 years, from 1987 to 2025, averaging 13.3 papers a year. Output peaked at 41 publications in 2023. 32 of the 517 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1987 to 2025. Vertical axis: number of publications, 0 to 41. Peak 41 publications in 2023. 1987: 1 publication 1988: 0 publications 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 0 publications 1994: 1 publication 1995: 1 publication 1996: 2 publications 1997: 8 publications 1998: 15 publications 1999: 8 publications 2000: 8 publications 2001: 7 publications 2002: 13 publications 2003: 15 publications 2004: 12 publications 2005: 21 publications 2006: 30 publications 2007: 21 publications 2008: 15 publications 2009: 10 publications 2010: 12 publications 2011: 13 publications 2012: 17 publications 2013: 19 publications 2014: 20 publications 2015: 13 publications 2016: 15 publications 2017: 12 publications 2018: 15 publications 2019: 28 publications 2020: 35 publications 2021: 32 publications 2022: 25 publications 2023: 41 publications 2024: 17 publications 2025: 15 publications
1987 2025

517 publications in total across all disciplines

View publications per year as a table
Kaixian Chen: publications per year, 1987 to 2025
Year Publications
1987 1
1988 0
1989 0
1990 0
1991 0
1992 0
1993 0
1994 1
1995 1
1996 2
1997 8
1998 15
1999 8
2000 8
2001 7
2002 13
2003 15
2004 12
2005 21
2006 30
2007 21
2008 15
2009 10
2010 12
2011 13
2012 17
2013 19
2014 20
2015 13
2016 15
2017 12
2018 15
2019 28
2020 35
2021 32
2022 25
2023 41
2024 17
2025 15
Total 517
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Kaixian Chen publication distribution in Chemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Chemistry in 2026. The highlighted bar marks where Kaixian Chen sits on this spectrum.

No. of scientists
250 500 750 1,000 1,250
Bar chart with 63 bars. Horizontal axis: publications, 61–80 to 1,295+. Vertical axis: number of scientists, 0 to 1,350. Most scientists, 1,350, have 161–180 publications. The last bar groups every scientist with 1,295 publications or more. The highlighted bar, 421–440 publications, is where this scientist sits. 61–80 publications: 66 scientists 81–100 publications: 302 scientists 101–120 publications: 623 scientists 121–140 publications: 918 scientists 141–160 publications: 1,218 scientists 161–180 publications: 1,350 scientists 181–200 publications: 1,344 scientists 201–220 publications: 1,281 scientists 221–240 publications: 1,216 scientists 241–260 publications: 1,100 scientists 261–280 publications: 979 scientists 281–300 publications: 939 scientists 301–320 publications: 764 scientists 321–340 publications: 643 scientists 341–360 publications: 628 scientists 361–380 publications: 522 scientists 381–400 publications: 459 scientists 401–420 publications: 397 scientists 421–440 publications: 327 scientists 441–460 publications: 270 scientists 461–480 publications: 265 scientists 481–500 publications: 252 scientists 501–520 publications: 201 scientists 521–540 publications: 185 scientists 541–560 publications: 148 scientists 561–580 publications: 148 scientists 581–600 publications: 132 scientists 601–620 publications: 114 scientists 621–640 publications: 104 scientists 641–660 publications: 91 scientists 661–680 publications: 92 scientists 681–700 publications: 73 scientists 701–720 publications: 57 scientists 721–740 publications: 54 scientists 741–760 publications: 67 scientists 761–780 publications: 45 scientists 781–800 publications: 46 scientists 801–820 publications: 39 scientists 821–840 publications: 32 scientists 841–860 publications: 36 scientists 861–880 publications: 29 scientists 881–900 publications: 26 scientists 901–920 publications: 24 scientists 921–940 publications: 14 scientists 941–960 publications: 23 scientists 961–980 publications: 28 scientists 981–1,000 publications: 15 scientists 1,001–1,020 publications: 29 scientists 1,021–1,040 publications: 12 scientists 1,041–1,060 publications: 19 scientists 1,061–1,080 publications: 12 scientists 1,081–1,100 publications: 6 scientists 1,101–1,120 publications: 8 scientists 1,121–1,140 publications: 12 scientists 1,141–1,160 publications: 5 scientists 1,161–1,180 publications: 6 scientists 1,181–1,200 publications: 14 scientists 1,201–1,220 publications: 7 scientists 1,221–1,240 publications: 2 scientists 1,241–1,260 publications: 6 scientists 1,261–1,280 publications: 4 scientists 1,281–1,294 publications: 6 scientists 1,295+ publications: 100 scientists
61–80 publications 1,295+

This scientist: 424 publications — 83rd percentile

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

The last bar groups every scientist with 1,295 publications or more.

View publications distribution as a table
Number of Chemistry scientists by publication count, Research.com 2026 ranking edition. Based on 17,934 ranked scientists.
Publications Scientists This scientist
61–80 66
81–100 302
101–120 623
121–140 918
141–160 1,218
161–180 1,350
181–200 1,344
201–220 1,281
221–240 1,216
241–260 1,100
261–280 979
281–300 939
301–320 764
321–340 643
341–360 628
361–380 522
381–400 459
401–420 397
421–440 327 424
441–460 270
461–480 265
481–500 252
501–520 201
521–540 185
541–560 148
561–580 148
581–600 132
601–620 114
621–640 104
641–660 91
661–680 92
681–700 73
701–720 57
721–740 54
741–760 67
761–780 45
781–800 46
801–820 39
821–840 32
841–860 36
861–880 29
881–900 26
901–920 24
921–940 14
941–960 23
961–980 28
981–1,000 15
1,001–1,020 29
1,021–1,040 12
1,041–1,060 19
1,061–1,080 12
1,081–1,100 6
1,101–1,120 8
1,121–1,140 12
1,141–1,160 5
1,161–1,180 6
1,181–1,200 14
1,201–1,220 7
1,221–1,240 2
1,241–1,260 6
1,261–1,280 4
1,281–1,294 6
1,295+ 100
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Kaixian Chen D-index placement in Chemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Chemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Kaixian Chen sits on this spectrum.

No. of scientists
250 500 750 1,000
Bar chart with 61 bars. Horizontal axis: D-Index, 40–41 to 159+. Vertical axis: number of scientists, 0 to 1,051. Most scientists, 1,051, have 56–57 D-Index. The last bar groups every scientist with 159 D-Index or more. The highlighted bar, 72–73 D-Index, is where this scientist sits. 40–41 D-Index: 289 scientists 42–43 D-Index: 612 scientists 44–45 D-Index: 808 scientists 46–47 D-Index: 776 scientists 48–49 D-Index: 835 scientists 50–51 D-Index: 861 scientists 52–53 D-Index: 872 scientists 54–55 D-Index: 933 scientists 56–57 D-Index: 1,051 scientists 58–59 D-Index: 930 scientists 60–61 D-Index: 882 scientists 62–63 D-Index: 834 scientists 64–65 D-Index: 731 scientists 66–67 D-Index: 775 scientists 68–69 D-Index: 683 scientists 70–71 D-Index: 646 scientists 72–73 D-Index: 561 scientists 74–75 D-Index: 501 scientists 76–77 D-Index: 437 scientists 78–79 D-Index: 388 scientists 80–81 D-Index: 354 scientists 82–83 D-Index: 292 scientists 84–85 D-Index: 275 scientists 86–87 D-Index: 254 scientists 88–89 D-Index: 235 scientists 90–91 D-Index: 185 scientists 92–93 D-Index: 192 scientists 94–95 D-Index: 155 scientists 96–97 D-Index: 163 scientists 98–99 D-Index: 125 scientists 100–101 D-Index: 105 scientists 102–103 D-Index: 105 scientists 104–105 D-Index: 112 scientists 106–107 D-Index: 88 scientists 108–109 D-Index: 68 scientists 110–111 D-Index: 69 scientists 112–113 D-Index: 65 scientists 114–115 D-Index: 79 scientists 116–117 D-Index: 61 scientists 118–119 D-Index: 44 scientists 120–121 D-Index: 37 scientists 122–123 D-Index: 40 scientists 124–125 D-Index: 33 scientists 126–127 D-Index: 26 scientists 128–129 D-Index: 34 scientists 130–131 D-Index: 35 scientists 132–133 D-Index: 25 scientists 134–135 D-Index: 27 scientists 136–137 D-Index: 17 scientists 138–139 D-Index: 16 scientists 140–141 D-Index: 20 scientists 142–143 D-Index: 20 scientists 144–145 D-Index: 15 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 9 scientists 150–151 D-Index: 16 scientists 152–153 D-Index: 11 scientists 154–155 D-Index: 9 scientists 156–157 D-Index: 3 scientists 158 D-Index: 3 scientists 159+ D-Index: 98 scientists
40–41 D-Index 159+

This scientist: 73 D-Index — 73rd percentile

73% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 159 D-Index or more.

View D-Index distribution as a table
Number of Chemistry scientists by D-index, Research.com 2026 ranking edition. Based on 17,934 ranked scientists.
D-Index Scientists This scientist
40–41 289
42–43 612
44–45 808
46–47 776
48–49 835
50–51 861
52–53 872
54–55 933
56–57 1,051
58–59 930
60–61 882
62–63 834
64–65 731
66–67 775
68–69 683
70–71 646
72–73 561 73
74–75 501
76–77 437
78–79 388
80–81 354
82–83 292
84–85 275
86–87 254
88–89 235
90–91 185
92–93 192
94–95 155
96–97 163
98–99 125
100–101 105
102–103 105
104–105 112
106–107 88
108–109 68
110–111 69
112–113 65
114–115 79
116–117 61
118–119 44
120–121 37
122–123 40
124–125 33
126–127 26
128–129 34
130–131 35
132–133 25
134–135 27
136–137 17
138–139 16
140–141 20
142–143 20
144–145 15
146–147 9
148–149 9
150–151 16
152–153 11
154–155 9
156–157 3
158 3
159+ 98
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Overview

Kaixian Chen is affiliated with the Chinese Academy of Sciences in China and has contributed extensively to research in biochemistry, genetics, molecular biology, and medicine. Their body of work includes 164 publications in biochemistry, genetics, and molecular biology, alongside 75 in medicine, demonstrating a broad engagement with the life sciences.

The scientist's research spans several subfields, including molecular biology, organic chemistry, pharmacology, immunology, and computational theory and mathematics. Their work intersects key topics such as computational drug discovery methods, ubiquitin and proteasome pathways, natural product bioactivities and synthesis, protein degradation and inhibitors, phytochemistry and biological activities, chemical synthesis and analysis, and metabolomics and mass spectrometry studies.

Frequent publication venues for Kaixian Chen comprise:

  • Journal of Medicinal Chemistry
  • Bioorganic Chemistry
  • The Cambridge Structural Database
  • Acta Pharmaceutica Sinica B
  • Acta Pharmacologica Sinica

Notable recent papers by Chen include:

  • TransformerCPI: improving compound-protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments (2020, Bioinformatics)
  • Graph neural networks for automated de novo drug design (2021, Drug Discovery Today)
  • Bioinspired large Stokes shift small molecular dyes for biomedical fluorescence imaging (2022, Science Advances)
  • Design, Synthesis, and Biological Evaluation of Peptidomimetic Aldehydes as Broad-Spectrum Inhibitors against Enterovirus and SARS-CoV-2 (2021, Journal of Medicinal Chemistry)
  • Inhibition of Autophagy by a Small Molecule through Covalent Modification of the LC3 Protein (2021, Angewandte Chemie International Edition)

They have collaborated frequently with coauthors including Hualiang Jiang, Cheng Luo, Mingyue Zheng, Xiaomin Luo, and Yiming Li, indicating an active and consistent network of research partnerships.

Best Publications

  • Predicting protein-protein interactions based only on sequences information.

    Juwen Shen;Jian Zhang;Xiaomin Luo;Weiliang Zhu

  • Pushing the Boundaries of Molecular Representation for Drug Discovery with the Graph Attention Mechanism.

    Zhaoping Xiong;Zhaoping Xiong;Dingyan Wang;Xiaohong Liu;Xiaohong Liu;Feisheng Zhong

  • TarFisDock: a web server for identifying drug targets with docking approach

    Honglin Li;Zhenting Gao;Ling Kang;Hailei Zhang

  • TransformerCPI: improving compound-protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments.

    Lifan Chen;Xiaoqin Tan;Dingyan Wang;Feisheng Zhong

  • Halogen bond: its role beyond drug-target binding affinity for drug discovery and development.

    Zhijian Xu;Zhuo Yang;Yingtao Liu;Yunxiang Lu

  • In silico ADME/T modelling for rational drug design

    Yulan Wang;Jing Xing;Yuan Xu;Nannan Zhou

  • PDTD: a web-accessible protein database for drug target identification

    Zhenting Gao;Zhenting Gao;Honglin Li;Honglin Li;Hailei Zhang;Xiaofeng Liu

  • Conformational transition of amyloid β-peptide

    Yechun Xu;Jianhua Shen;Xiaomin Luo;Weiliang Zhu

  • Artificial intelligence in drug design.

    Feisheng Zhong;Jing Xing;Xutong Li;Xiaohong Liu;Xiaohong Liu

  • A Series of α-Heterocyclic Carboxaldehyde Thiosemicarbazones Inhibit Topoisomerase IIα Catalytic Activity

    He Huang;Qin Chen;Xin Ku;Linghua Meng

  • Cinanserin Is an Inhibitor of the 3C-Like Proteinase of Severe Acute Respiratory Syndrome Coronavirus and Strongly Reduces Virus Replication In Vitro

    Lili Chen;Chunshan Gui;Xiaomin Luo;Qingang Yang

  • pH-dependent conformational flexibility of the SARS-CoV main proteinase (M(pro)) dimer: molecular dynamics simulations and multiple X-ray structure analyses.

    Jinzhi Tan;Koen H.G. Verschueren;Kanchan Anand;Jianhua Shen

  • Virtual Screening on Natural Products for Discovering Active Compounds and Target Information

    Jianhua Shen;Xiaoying Xu;Feng Cheng;Hong Liu

  • Graph neural networks for automated de novo drug design.

    Jiacheng Xiong;Zhaoping Xiong;Kaixian Chen;Hualiang Jiang

  • A Simple and Convenient Copper-Catalyzed Tandem Synthesis of Quinoline-2-carboxylates at Room Temperature

    He Huang;Hualiang Jiang;Kaixian Chen;Hong Liu

  • Three new sesquiterpene glycosides from Dendrobium nobile with immunomodulatory activity.

    W.M. Zhao;Q.H. Ye;X.J. Tan;H.L. Jiang

  • New technologies in computer-aided drug design: Toward target identification and new chemical entity discovery.

    Yun Tang;Weiliang Zhu;Kaixian Chen;Hualiang Jiang;Hualiang Jiang

  • Rapid and efficient Pd-catalyzed sonogashira coupling of aryl chlorides

    He Huang;Hong Liu;Hualiang Jiang;Kaixian Chen

  • Nucleocapsid Protein of SARS Coronavirus Tightly Binds to Human Cyclophilin A

    Cheng Luo;Haibin Luo;Suxin Zheng;Chunshan Gui

  • Biological screening of natural products and drug innovation in China.

    Ming-Wei Wang;Xiaojiang Hao;Kaixian Chen

  • Utilization of Halogen Bond in Lead Optimization: A Case Study of Rational Design of Potent Phosphodiesterase Type 5 (PDE5) Inhibitors

    Zhijian Xu;Zheng Liu;Tong Chen;TianTian Chen

  • 3D-QSAR model of flavonoids binding at benzodiazepine site in GABAA receptors.

    XQ Huang;T. Liu;JD Gu;XM Luo

  • Fluorogenic Probing of Specific Recognitions between Sugar Ligands and Glycoprotein Receptors on Cancer Cells by an Economic Graphene Nanocomposite

    Hai-Lin Zhang;Xiao-Li Wei;Xiao-Li Wei;Yi Zang;Jia-Yi Cao;Jia-Yi Cao

  • Severe acute respiratory syndrome coronavirus 3C-like proteinase N terminus is indispensable for proteolytic activity but not for enzyme dimerization. Biochemical and thermodynamic investigation in conjunction with molecular dynamics simulations.

    Shuai Chen;Lili Chen;Jinzhi Tan;Jing Chen

  • Steered molecular dynamics simulation on the binding of NNRTI to HIV-1 RT.

    Lingling Shen;Jianhua Shen;Xiaomin Luo;Feng Cheng

  • How does huperzine A enter and leave the binding gorge of acetylcholinesterase? Steered molecular dynamics simulations.

    Yechun Xu;Jianhua Shen;Xiaomin Luo;Israel Silman

  • The Multiplicity, Strength, and Nature of the Interaction of Nucleobases with Alkaline and Alkaline Earth Metal Cations: A Density Functional Theory Investigation

    Weiliang Zhu;Xiaomin Luo;Chum Mok Puah;Xiaojian Tan

  • Peptide deformylase is a potential target for anti-Helicobacter pylori drugs: reverse docking, enzymatic assay, and X-ray crystallography validation

    Jianhua Cai;Cong Han;Tiancen Hu;Jian Zhang

Frequent Co-Authors

Hualiang Jiang
Hualiang Jiang Chinese Academy of Sciences
Xiaomin Luo
Xiaomin Luo Chinese Academy of Sciences
Weiliang Zhu
Weiliang Zhu Chinese Academy of Sciences
Hong Liu
Hong Liu Shandong University
Xu Shen
Xu Shen Nanjing University of Chinese Medicine
Cheng Luo
Cheng Luo Chinese Academy of Sciences
Mingyue Zheng
Mingyue Zheng Chinese Academy of Sciences
Xiao-Peng He
Xiao-Peng He East China University of Science and Technology
Yun Tang
Yun Tang East China University of Science and Technology
Jiye Shi
Jiye Shi UCB Pharma (Belgium)

External Links

Personal website of Kaixian Chen

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Best Scientists Citing Kaixian Chen

Hualiang Jiang

Hualiang Jiang

Chinese Academy of Sciences

Publications: 166

Weiliang Zhu

Weiliang Zhu

Chinese Academy of Sciences

Publications: 71

Xu Shen

Xu Shen

Nanjing University of Chinese Medicine

Publications: 63

Hong Liu

Hong Liu

Shandong University

Publications: 62

Xiao-Peng He

Xiao-Peng He

East China University of Science and Technology

Publications: 59

Zhu-Hong You

Zhu-Hong You

Chinese Academy of Sciences

Publications: 50

Cheng Luo

Cheng Luo

Chinese Academy of Sciences

Publications: 48

Zihe Rao

Zihe Rao

Tsinghua University

Publications: 30

Yun Tang

Yun Tang

East China University of Science and Technology

Publications: 30

Mingyue Zheng

Mingyue Zheng

Chinese Academy of Sciences

Publications: 29

Dong-Sheng Cao

Dong-Sheng Cao

Central South University

Publications: 28

Yue-Wei Guo

Yue-Wei Guo

Chinese Academy of Sciences

Publications: 28

Rolf Hilgenfeld

Rolf Hilgenfeld

University of Lübeck

Publications: 27

Xiaomin Luo

Xiaomin Luo

Chinese Academy of Sciences

Publications: 25

Vadim A. Soloshonok

Vadim A. Soloshonok

University of the Basque Country

Publications: 24

Jiangning Song

Jiangning Song

Monash University

Publications: 23

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