Kun Wang

4.0k citations
135 papers · 3.1k indexed · h-index 32

Impact in

  • Microbiology top 0.5%
    • Antimicrobial Peptides and Activities
  • Immunology top 2%
    • Invertebrate Immune Response Mechanisms
    • Aquaculture disease management and microbiota
    • Immune Cell Function and Interaction

Papers in

    • Antimicrobial Peptides and Activities 29
    • Invertebrate Immune Response Mechanisms 53
    • Aquaculture disease management and microbiota 34

Kun Wang

129 papers receiving 3.1k citations

Peers

Kun Wang
Comparison fields: 5 of 147
  • Microbiology 532
  • Immunology 1.4k
  • Aquatic Science 257
  • Health, Toxicology and Mutagenesis 334
  • Insect Science 243
Replace Edgar Zenteno with:
Edgar Zenteno Mexico
Marlies Halder Italy
Lu Huang China
Lijuan Zhao China
Tao Xi China
Guang‐Ming Liu China
Jarosław Olav Horbańczuk Poland
Christiane V. Löhr United States
Seung Hyeok Seok South Korea
Tiziano Gallo Cassarino United Kingdom
Kun Wang relative to Edgar Zenteno Mexico Edgar Zenteno's profile →
Citations per field
00.5×4.8×
Edgar Zenteno · 1×
Citations per year

Countries citing papers authored by Kun Wang

Since Specialization
Citations

This map shows the geographic impact of Kun Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Wang more than expected).

Fields of papers citing papers by Kun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kun Wang. The network helps show where Kun Wang may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Kun Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kun Wang Line = papers co-authored together Kun Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20245
2 20246
3 20242
4 20240
5 20233
6 202211
7 20220
8 202132
9 202010
10 202026
11 20205
12 201916
13 201780
14 201717
15 201619
16 201513
17 201422
18 201146
19 201190
20 201042

About Kun Wang

Kun Wang is a scholar working on Microbiology, Immunology, Insect Science, Aquatic Science and Biological Psychiatry, having authored 135 papers that have together received 3.1k indexed citations. Recurring topics across this work include Invertebrate Immune Response Mechanisms (53 papers), Aquaculture disease management and microbiota (34 papers), Antimicrobial Peptides and Activities (29 papers), Insect symbiosis and bacterial influences (14 papers), Neurobiology and Insect Physiology Research (12 papers), Protein Hydrolysis and Bioactive Peptides (10 papers), Gut microbiota and health (9 papers) and Mosquito-borne diseases and control (8 papers). The work is most often cited by research in Microbiology (532 citations), Immunology (1.4k citations), Aquatic Science (257 citations), Health, Toxicology and Mutagenesis (334 citations) and Insect Science (243 citations). Kun Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Fangyi Chen, Haipeng Liu, Hui Peng, Jun Bo, Singaram Gopalakrishnan, Fang‐Yi Chen, Bei Chen, Lin He, Lun Yang and Huiyun Chen. Their work appears in journals such as Fish & Shellfish Immunology, International Journal of Molecular Sciences, Aquaculture, Frontiers in Microbiology and Frontiers in Immunology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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2026