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Biology and Biochemistry
China
2023

D-Index & Metrics

Discipline name D-Index World Ranking National Ranking Publications Citations
Chemistry 106 930 167 844 58994
Biology and Biochemistry 108 1030 20 825 59038

Hualiang Jiang publications per year

The chart shows the history of publications by Hualiang Jiang between 1994 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Hualiang Jiang published across 32 years, from 1994 to 2025, averaging 31.9 papers a year. Output peaked at 74 publications in 2023. 15 of the 1,020 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 1994 to 2025. Vertical axis: number of publications, 0 to 74. Peak 74 publications in 2023. 1994: 1 publication 1995: 3 publications 1996: 2 publications 1997: 7 publications 1998: 13 publications 1999: 10 publications 2000: 9 publications 2001: 7 publications 2002: 16 publications 2003: 20 publications 2004: 19 publications 2005: 37 publications 2006: 51 publications 2007: 44 publications 2008: 61 publications 2009: 64 publications 2010: 63 publications 2011: 49 publications 2012: 58 publications 2013: 53 publications 2014: 34 publications 2015: 39 publications 2016: 26 publications 2017: 26 publications 2018: 29 publications 2019: 32 publications 2020: 50 publications 2021: 61 publications 2022: 47 publications 2023: 74 publications 2024: 7 publications 2025: 8 publications
1994 2025

1,020 publications in total across all disciplines

View publications per year as a table
Hualiang Jiang: publications per year, 1994 to 2025
Year Publications
1994 1
1995 3
1996 2
1997 7
1998 13
1999 10
2000 9
2001 7
2002 16
2003 20
2004 19
2005 37
2006 51
2007 44
2008 61
2009 64
2010 63
2011 49
2012 58
2013 53
2014 34
2015 39
2016 26
2017 26
2018 29
2019 32
2020 50
2021 61
2022 47
2023 74
2024 7
2025 8
Total 1,020
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Hualiang Jiang 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 Hualiang Jiang 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, 841–860 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: 844 publications — 98th percentile

98% 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
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 36 844
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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Hualiang Jiang 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 Hualiang Jiang 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, 106–107 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: 106 D-Index — 95th percentile

95% 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
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 88 106
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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Research.com Recognitions

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

Overview

Hualiang Jiang was affiliated with the Chinese Academy of Sciences in China. Their research primarily focused on the fields of Biochemistry, Genetics and Molecular Biology, as well as Medicine. Within these broad areas, Jiang contributed substantially to Molecular Biology, Infectious Diseases, Computational Theory and Mathematics, Cellular and Molecular Neuroscience, and Immunology.

The scientist's work covered diverse topics, including:

  • Computational Drug Discovery Methods
  • Receptor Mechanisms and Signaling
  • SARS-CoV-2 and COVID-19 Research
  • COVID-19 Clinical Research Studies
  • Protein Degradation and Inhibitors
  • Protein Structure and Dynamics
  • Machine Learning in Materials Science

Jiang was a frequent contributor to several key scientific journals, with multiple publications appearing in:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Medicinal Chemistry
  • Nature Communications
  • Acta Pharmacologica Sinica
  • Science China Life Sciences

Among recent papers that Jiang was associated with are:

  • Structure of Mpro from SARS-CoV-2 and discovery of its inhibitors, 2020, Nature
  • Structure-based design of antiviral drug candidates targeting the SARS-CoV-2 main protease, 2020, Science
  • Structural basis for inhibition of the RNA-dependent RNA polymerase from SARS-CoV-2 by remdesivir, 2020, Science
  • TransformerCPI: improving compound-protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments, 2020, Bioinformatics
  • Structures of the Omicron spike trimer with ACE2 and an anti-Omicron antibody, 2022, Science

They collaborated frequently with a number of researchers, including:

  • Mingyue Zheng
  • Kaixian Chen
  • H. Eric Xu
  • Yi Jiang
  • Cheng Luo

Their research involved a combination of experimental and computational approaches. Jiang's work contributed to understanding molecular mechanisms relevant to infectious diseases, especially concerning SARS-CoV-2 and COVID-19. This included studies on viral proteins, antiviral drug candidates, and protein interactions informed by machine learning techniques.

Best Publications

  • Structure of Mpro from SARS-CoV-2 and discovery of its inhibitors

    Zhenming Jin;Zhenming Jin;Xiaoyu Du;Yechun Xu;Yongqiang Deng

  • Structure-based design of antiviral drug candidates targeting the SARS-CoV-2 main protease.

    Wenhao Dai;Wenhao Dai;Bing Zhang;Xia Ming Jiang;Haixia Su

  • Structural basis for inhibition of the RNA-dependent RNA polymerase from SARS-CoV-2 by remdesivir.

    Wanchao Yin;Wanchao Yin;Chunyou Mao;Xiaodong Luan;Xiaodong Luan;Dan Dan Shen

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

    Juwen Shen;Jian Zhang;Xiaomin Luo;Weiliang Zhu

  • PharmMapper server: a web server for potential drug target identification using pharmacophore mapping approach

    Xiaofeng Liu;Sisheng Ouyang;Biao Yu;Yabo Liu

  • 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

  • Sphingosine-1-phosphate is a missing cofactor for the E3 ubiquitin ligase TRAF2

    Sergio E. Alvarez;Kuzhuvelil B. Harikumar;Nitai C. Hait;Jeremy Allegood

  • Structure of the CCR5 Chemokine Receptor–HIV Entry Inhibitor Maraviroc Complex

    Qiuxiang Tan;Ya Zhu;Jian Li;Zhuxi Chen

  • Small-Molecule Targeting of Oncogenic FTO Demethylase in Acute Myeloid Leukemia.

    Yue Huang;Rui Su;Yue Sheng;Lei Dong;Lei Dong

  • Halogen bonding--a novel interaction for rational drug design?

    Yunxiang Lu;Ting Shi;Yong Wang;Huaiyu Yang

  • Crystal structure of rhodopsin bound to arrestin by femtosecond X-ray laser

    Yanyong Kang;X. Edward Zhou;Xiang Gao;Yuanzheng He

  • Molecular Mimicry Regulates ABA Signaling by SnRK2 Kinases and PP2C Phosphatases

    Fen Fen Soon;Fen Fen Soon;Ley Moy Ng;Ley Moy Ng;X. Edward Zhou;Graham M. West

  • Meclofenamic acid selectively inhibits FTO demethylation of m6A over ALKBH5

    Yue Huang;Jingli Yan;Qi Li;Jiafei Li

  • Structural Basis for Molecular Recognition at Serotonin Receptors

    Chong Wang;Yi Jiang;Yi Jiang;Jinming Ma;Jinming Ma;Huixian Wu

  • 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

  • Structures of the Omicron Spike trimer with ACE2 and an anti-Omicron antibody

    Unknown

  • Structure of the human P2Y12 receptor in complex with an antithrombotic drug

    Kaihua Zhang;Jin Zhang;Zhan-Guo Gao;Dandan Zhang

  • Development of Cell-Active N6-Methyladenosine RNA Demethylase FTO Inhibitor

    Baoen Chen;Fei Ye;Lu Yu;Guifang Jia

  • Chemoprevention by lipoxygenase and leukotriene pathway inhibitors of vinyl carbamate-induced lung tumors in mice.

    Chul Ho Jeong;Ann M. Bode;Angelo Pugliese;Yong Yeon Cho

  • Computational drug discovery

    Si-sheng Ou-Yang;Jun-yan Lu;Xiang-qian Kong;Zhong-jie Liang

Frequent Co-Authors

Kaixian Chen
Kaixian Chen 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
Xiaomin Luo
Xiaomin Luo Chinese Academy of Sciences
Weiliang Zhu
Weiliang Zhu Chinese Academy of Sciences
Mingyue Zheng
Mingyue Zheng Chinese Academy of Sciences
Yu Zhou
Yu Zhou Chinese Academy of Sciences
Deju Ye
Deju Ye Nanjing University
Yun Tang
Yun Tang East China University of Science and Technology

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