World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
61
Citations
15065
World Ranking
11251
National Ranking
351

Jing Wang 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 Jing Wang 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: 198 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Jing Wang 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 Jing Wang 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: 61 D-Index — 44th percentile

44% of scientists in this discipline score the same or lower.

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

Overview

Jing Wang is affiliated with the Chinese Academy of Sciences in China. Their research spans multiple fields with a primary focus on health professions and arts and humanities. Subfields include general health professions, philosophy, molecular biology, condensed matter physics, and mechanical engineering. This multidisciplinary approach reflects a broad engagement with both scientific and humanistic areas.

Their work covers several main topics, including hermeneutics and narrative identity, aging, elder care, and social issues, health, medicine and society, micro and nano robotics, modular robots and swarm intelligence, as well as advanced biosensing and bioanalysis techniques.

Jing Wang has contributed to publications in a variety of academic venues. The most frequent publication venues are:

  • PubMed
  • Angewandte Chemie International Edition
  • Chinese Physics B
  • Pattern Recognition
  • bioRxiv (Cold Spring Harbor Laboratory)

Frequent collaborators in their research include Peng Wang, Xingyu Ma, C Wang, Huaicheng Chen, and Gao Wang.

Among their recent papers are:

  • Ratiometric Fluorescent Lateral Flow Immunoassay for Point-of-Care Testing of Acute Myocardial Infarction (2021, Angewandte Chemie International Edition)
  • Optical Control of a CRISPR/Cas9 System for Gene Editing by Using Photolabile crRNA (2020, Angewandte Chemie International Edition)
  • The role of immunoglobulin E and mast cells in hypertension (2022, PubMed)
  • Discriminative feature alignment: Improving transferability of unsupervised domain adaptation by Gaussian-guided latent alignment (2021, Pattern Recognition)
  • An Economic Evaluation of Australia's Newborn Hearing Screening Program: A Within-Study Cost-Effectiveness Analysis (2022, PubMed)

Best Publications

  • Regulation of OsSPL14 by OsmiR156 defines ideal plant architecture in rice

    Yongqing Jiao;Yonghong Wang;Dawei Xue;Dawei Xue;Jing Wang

  • A draft sequence for the genome of the domesticated silkworm (Bombyx mori).

    Qingyou Xia;Zeyang Zhou;Cheng Lu

  • Enhanced sustainable green revolution yield via nitrogen-responsive chromatin modulation in rice

    Kun Wu;Shuansuo Wang;Wenzhen Song;Jianqing Zhang

  • A glimpse of streptococcal toxic shock syndrome from comparative genomics of S. suis 2 Chinese isolates.

    Chen Chen;Chen Chen;Jiaqi Tang;Wei Dong;Wei Dong;Changjun Wang

  • Triticum population sequencing provides insights into wheat adaptation.

    Yao Zhou;Xuebo Zhao;Yiwen Li;Jun Xu

  • The neural correlates of reward-related processing in major depressive disorder: a meta-analysis of functional magnetic resonance imaging studies.

    Wei-Na Zhang;Su-Hua Chang;Li-Yuan Guo;Kun-Lin Zhang

  • Genome-Wide Binding Analysis of the Transcription Activator IDEAL PLANT ARCHITECTURE1 Reveals a Complex Network Regulating Rice Plant Architecture

    Zefu Lu;Hong Yu;Guosheng Xiong;Jing Wang

  • Genetic linkage analysis in the age of whole-genome sequencing.

    Jurg Ott;Jing Wang;Suzanne M. Leal

  • A genome-wide association study in Han Chinese identifies a susceptibility locus for primary Sjögren's syndrome at 7q11.23

    Yongzhe Li;Kunlin Zhang;Hua Chen;Fei Sun

  • Ferritin concentrations, metabolic syndrome, and type 2 diabetes in middle-aged and elderly chinese.

    Liang(孙亮) Sun;Oscar H. Franco;Frank B. Hu;Lu Cai

  • i-GSEA4GWAS: a web server for identification of pathways/gene sets associated with traits by applying an improved gene set enrichment analysis to genome-wide association study

    Kunlin Zhang;Sijia Cui;Suhua Chang;Liuyan Zhang

  • Effect of glucagon-like peptide-1 receptor agonists on lipid profiles among type 2 diabetes: a systematic review and network meta-analysis.

    Feng Sun;Feng Sun;Shanshan Wu;Jing Wang;Shuxia Guo

  • SilkDB: a knowledgebase for silkworm biology and genomics

    Jing Wang;Qingyou Xia;Ximiao He;Mingtao Dai

  • Melatonin signaling in T cells: Functions and applications.

    Wenkai Ren;Wenkai Ren;Gang Liu;Shuai Chen;Jie Yin

  • How many human genes can be defined as housekeeping with current expression data

    Jiang Zhu;Jiang Zhu;Fuhong He;Fuhong He;Shuhui Song;Shuhui Song;Jing Wang

  • Mycobacterium tuberculosis suppresses innate immunity by coopting the host ubiquitin system

    Jing Wang;Bing-Xi Li;Pu-Pu Ge;Jie Li

  • IL-13 secreted by ILC2s promotes the self-renewal of intestinal stem cells through circular RNA circPan3.

    Pingping Zhu;Xiaoxiao Zhu;Jiayi Wu;Luyun He

  • Associations of physical activity with inflammatory factors, adipocytokines, and metabolic syndrome in middle-aged and older chinese people

    Zhijie Yu;Xingwang Ye;Jing Wang;Qibin Qi

  • MethyCancer: the database of human DNA methylation and cancer

    Ximiao He;Suhua Chang;Jiajie Zhang;Qian Zhao

  • Regulation of OsSPL14 by OsmiR156 defines ideal plant architecture in rice. Nat Genet

    Yongqing Jiao;Yonghong Wang;Dawei Xue;Jing Wang

Frequent Co-Authors

huanming yang
huanming yang Beijing Genomics Institute
Bie Tan
Bie Tan Chinese Academy of Sciences
Yulong Yin
Yulong Yin Chinese Academy of Sciences
Jun Yu
Jun Yu Chinese University of Hong Kong
Gane Ka-Shu Wong
Gane Ka-Shu Wong University of Alberta
Jun Wang
Jun Wang University of Central Florida
Jianjun Li
Jianjun Li Chinese Academy of Sciences
Oscar H. Franco
Oscar H. Franco University Medical Center Utrecht
George F. Gao
George F. Gao Chinese Center For Disease Control and Prevention
Minghao Qi
Minghao Qi Purdue University West Lafayette

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