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Kai Wang
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Biology and Biochemistry
China
2023

D-Index & Metrics

Biology and Biochemistry

D-Index
103
Citations
80984
World Ranking
1282
National Ranking
25

Kai 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 Kai 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: 497 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Kai 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 Kai 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: 103 D-Index — 93rd percentile

93% 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

Kai Wang is affiliated with Hebei University in China and conducts research primarily in the fields of Engineering and Medicine. Their work encompasses a broad range of subfields, including Materials Chemistry, Electrical and Electronic Engineering, Molecular Biology, Biomedical Engineering, and Cognitive Neuroscience.

The scientist's research covers several main topics, such as:

  • Functional Brain Connectivity Studies
  • Advanced Photocatalysis Techniques
  • Advanced Battery Materials and Technologies
  • Perovskite Materials and Applications
  • Luminescence and Fluorescent Materials
  • Advancements in Battery Materials
  • Advanced Sensor and Energy Harvesting Materials

Kai Wang has contributed to multiple frequent publication venues, indicating the interdisciplinary nature of their research. The most common publication outlets include:

  • Chemical Engineering Journal
  • Journal of Colloid and Interface Science
  • Advanced Functional Materials
  • Nature Communications
  • Angewandte Chemie International Edition

Selected recent papers illustrate the range and focus of the scientist's research efforts:

  • Multiple early factors anticipate post-acute COVID-19 sequelae, 2022, Cell
  • RIS-Aided Wireless Communications: Prototyping, Adaptive Beamforming, and Indoor/Outdoor Field Trials, 2021, IEEE Transactions on Communications
  • High-Entropy Metal-Organic Frameworks for Highly Reversible Sodium Storage, 2021, Advanced Materials
  • Pressure-Induced Blue-Shifted and Enhanced Emission: A Cooperative Effect between Aggregation-Induced Emission and Energy-Transfer Suppression, 2020, Journal of the American Chemical Society
  • Deep-learning models for the detection and incidence prediction of chronic kidney disease and type 2 diabetes from retinal fundus images, 2021, Nature Biomedical Engineering

The scientist regularly collaborates with several frequent co-authors, showing ongoing research partnerships. These include:

  • Yanghua Tian
  • Tongjian Bai
  • Bo Zou
  • Gong-Jun Ji
  • Zhiliang Jin

Best Publications

  • ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data

    Kai Wang;Mingyao Li;Hakon Hakonarson

  • Candidate gene for the chromosome 1 familial Alzheimer's disease locus

    Ephrat Levy-Lahad;Wilma Wasco;Parvoneh Poorkaj;Donna M. Romano

  • Genome-wide meta-analysis increases to 71 the number of confirmed Crohn's disease susceptibility loci

    Andre Franke;Dermot P B McGovern;Jeffrey C. Barrett;Kai Wang

  • The MicroRNA Spectrum in 12 Body Fluids

    Jessica A. Weber;David H. Baxter;Shile Zhang;David Y. Huang

  • Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis

    Stephen Sawcer;Garrett Hellenthal;Matti Pirinen;Chris C. A. Spencer

  • Functional impact of global rare copy number variation in autism spectrum disorders

    Dalila Pinto;Alistair T. Pagnamenta;Lambertus Klei;Richard Anney

  • PennCNV: An integrated hidden Markov model designed for high-resolution copy number variation detection in whole-genome SNP genotyping data

    Kai Wang;Mingyao Li;Dexter Hadley;Rui Liu

  • Autism genome-wide copy number variation reveals ubiquitin and neuronal genes

    Joseph T. Glessner;Kai Wang;Guiqing Cai;Olena Korvatska

  • Circulating microRNAs, potential biomarkers for drug-induced liver injury

    Kai Wang;Shile Zhang;Bruz Marzolf;Pamela Troisch

  • Export of microRNAs and microRNA-protective protein by mammalian cells

    Kai Wang;Shile Zhang;Jessica Weber;David S Baxter

  • Common genetic variants on 5p14.1 associate with autism spectrum disorders

    Kai Wang;Haitao Zhang;Deqiong Ma;Maja Bucan

  • Comparison and integration of deleteriousness prediction methods for nonsynonymous SNVs in whole exome sequencing studies

    Chengliang Dong;Peng Wei;Xueqiu Jian;Richard Gibbs

  • Pathway-Based Approaches for Analysis of Genomewide Association Studies

    Kai Wang;Mingyao Li;Maja Bucan

  • Rare Variants Create Synthetic Genome-Wide Associations

    Samuel P. Dickson;Kai Wang;Ian Krantz;Ian Krantz;Ian Krantz;Hakon Hakonarson;Hakon Hakonarson;Hakon Hakonarson

  • Genotype, haplotype and copy-number variation in worldwide human populations

    Mattias Jakobsson;Sonja W. Scholz;Sonja W. Scholz;Paul A Scheet;J. Raphael Gibbs;J. Raphael Gibbs

  • Analysing biological pathways in genome-wide association studies

    Kai Wang;Kai Wang;Mingyao Li;Hakon Hakonarson;Hakon Hakonarson

  • InterVar: Clinical Interpretation of Genetic Variants by the 2015 ACMG-AMP Guidelines

    Quan Li;Kai Wang;Kai Wang

  • Genomic variant annotation and prioritization with ANNOVAR and wANNOVAR

    Hui Yang;Kai Wang

  • Extracellular microRNA: A new source of biomarkers

    Alton Etheridge;Inyoul Lee;Leroy Hood;David Galas

  • Comparing the MicroRNA spectrum between serum and plasma.

    Kai Wang;Yue Yuan;Ji-Hoon Cho;Sara McClarty

Frequent Co-Authors

Leroy Hood
Leroy Hood University of Washington
David J. Galas
David J. Galas Pacific Northwest Diabetes Research Institute
Hakon Hakonarson
Hakon Hakonarson Children's Hospital of Philadelphia
Luis C. Ho
Luis C. Ho Peking University
Gholson J. Lyon
Gholson J. Lyon Cold Spring Harbor Laboratory
Jubao Duan
Jubao Duan University of Chicago
Mingyao Li
Mingyao Li University of Pennsylvania
Zhongming Zhao
Zhongming Zhao The University of Texas Health Science Center at Houston
Nathan D. Price
Nathan D. Price University of Illinois at Urbana-Champaign
Struan F.A. Grant
Struan F.A. Grant University of Pennsylvania

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Online degrees provide flexible, affordable, and accelerated pathways for Biology, Biochemistry, and healthcare students to expand their expertise and unlock new career opportunities.

Best Scientists Citing Kai Wang

Hakon Hakonarson

Hakon Hakonarson

Children's Hospital of Philadelphia

Publications: 297

Stephen W. Scherer

Stephen W. Scherer

University of Toronto

Publications: 215

Mark J. Daly

Mark J. Daly

Massachusetts General Hospital

Publications: 152

Eric Boerwinkle

Eric Boerwinkle

The University of Texas Health Science Center at Houston

Publications: 148

John Hardy

John Hardy

University College London

Publications: 117

Benjamin M. Neale

Benjamin M. Neale

Harvard University

Publications: 112

Guy A. Rouleau

Guy A. Rouleau

Montreal Neurological Institute and Hospital

Publications: 108

Andre Franke

Andre Franke

Kiel University

Publications: 106

Richard A. Gibbs

Richard A. Gibbs

Baylor College of Medicine

Publications: 105

Ole A. Andreassen

Ole A. Andreassen

Oslo University Hospital

Publications: 104

Aarno Palotie

Aarno Palotie

University of Helsinki

Publications: 100

Kari Stefansson

Kari Stefansson

deCODE Genetics (Iceland)

Publications: 99

Daniel H. Geschwind

Daniel H. Geschwind

University of California, Los Angeles

Publications: 96

Margaret A. Pericak-Vance

Margaret A. Pericak-Vance

University of Miami

Publications: 94

Ziv Gan-Or

Ziv Gan-Or

McGill University

Publications: 91

Christian R. Marshall

Christian R. Marshall

University of Toronto

Publications: 91

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