Min Wan

4.8k citations
110 papers · 3.7k · h-index 33

Impact in

Papers in

    • Immune Response and Inflammation 13
    • Aquaculture disease management and microbiota 11
    • Immunotherapy and Immune Responses 10

Min Wan

107 papers receiving 3.7k citations

Peers

Min Wan
Comparison fields: 5 of 125
  • Aquatic Science 326
  • Microbiology 263
  • Immunology 821
  • Biochemistry 169
  • Nutrition and Dietetics 328
Replace Suhkneung Pyo with:
Suhkneung Pyo South Korea
Yan Lin China
Kuo‐Feng Hua Taiwan
Chien‐An Andy Hu United States
Lijuan Zhao China
Junji Hamuro Japan
Yanan Li China
Benjamin N. Gantner United States
Satoshi Uchiyama Japan
Xihong Zhou China
Min Wan relative to Suhkneung Pyo South Korea Suhkneung Pyo's profile →
Citations per field
00.5×3.1×
Suhkneung Pyo · 1×
Citations per year

Countries citing papers authored by Min Wan

Since Specialization
Citations

This map shows the geographic impact of Min Wan'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 Min Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Wan more than expected).

Fields of papers citing papers by Min Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min Wan. 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 Min Wan. The network helps show where Min Wan may publish in the future.

Co-authors

The 25 scholars most cited alongside Min Wan, 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 Min Wan Line = papers co-authored together Min Wan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012310
2 2006205
3 2009189
4 2017172
5 2015150
6 2014124
7 2014120
8 2014120
9 2011108
10 201581
11 200678
12 201176
13 201775
14 200967
15 201366
16 201665
17 201764
18 201162
19 200861
20 200860

About Min Wan

Min Wan is a scholar working on Immunology, Molecular Biology, Epidemiology, Aquatic Science and Physiology, having authored 110 papers that have together received 3.7k indexed citations. Recurring topics across this work include Immune Response and Inflammation (13 papers), Aquaculture disease management and microbiota (11 papers), Immunotherapy and Immune Responses (10 papers), Aquaculture Nutrition and Growth (9 papers), Hepatitis B Virus Studies (6 papers), Liver Disease Diagnosis and Treatment (6 papers), Antimicrobial Peptides and Activities (6 papers) and Viral Infections and Immunology Research (6 papers). The work is most often cited by research in Aquatic Science (326 citations), Microbiology (263 citations), Immunology (821 citations), Biochemistry (169 citations) and Nutrition and Dietetics (328 citations). Min Wan has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Jesper Z. Haeggström, Morris J. Birnbaum, Birgitta Agerberth, Xiao Tang, Danielle N. Gross, Xu Xu, Karla F. Leavens, Bobby R. Monks, C. Ronald Kahn and Kohjiro Ueki. Their work appears in journals such as The FASEB Journal, Fish & Shellfish Immunology, Proceedings of the National Academy of Sciences, International Immunopharmacology and Vaccine.

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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