Wen Shi

597 citations
29 papers · 456 · h-index 12

Impact in

Papers in

    • Aquaculture disease management and microbiota 15
    • Invertebrate Immune Response Mechanisms 5
    • interferon and immune responses 3
    • Animal Virus Infections Studies 13

Wen Shi

29 papers receiving 456 citations

Peers

Wen Shi
Comparison fields: 5 of 60
  • Animal Science and Zoology 197
  • Infectious Diseases 212
  • Immunology 179
  • Microbiology 50
  • Endocrinology 37
Replace Shishir Kumar Gupta with:
Shishir Kumar Gupta India
Liselotte Rothmann Norup Denmark
Zhiguang Wu United Kingdom
Andy Potter Canada
Ke Ding China
Miia Jakava-Viljanen Finland
Jérôme Trotereau France
Bingzhou Zhang China
Madhan Mohan Chellappa India
Wen Shi relative to Shishir Kumar Gupta India Shishir Kumar Gupta's profile →
Citations per field
00.5×2.6×
Shishir Kumar Gupta · 1×
Citations per year

Countries citing papers authored by Wen Shi

Since Specialization
Citations

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

Fields of papers citing papers by Wen Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201863
2 201763
3 201740
4 201637
5 201726
6 201725
7 201823
8 202023
9 201914
10 202113
11 201711
12 201811
13 201911
14 201811
15 201811
16 201910
17 20179
18 20209
19 20228
20 20228

About Wen Shi

Wen Shi is a scholar working on Immunology, Animal Science and Zoology, Infectious Diseases, Genetics and Molecular Biology, having authored 29 papers that have together received 456 indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (15 papers), Animal Virus Infections Studies (13 papers), Virus-based gene therapy research (9 papers), Viral gastroenteritis research and epidemiology (8 papers), Invertebrate Immune Response Mechanisms (5 papers), Bacteriophages and microbial interactions (3 papers), interferon and immune responses (3 papers) and Vibrio bacteria research studies (3 papers). The work is most often cited by research in Animal Science and Zoology (197 citations), Infectious Diseases (212 citations), Immunology (179 citations), Microbiology (50 citations) and Endocrinology (37 citations). Wen Shi has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Lijie Tang, Yigang Xu, Xiaona Wang, Li Wang, Min Liu, Xinyuan Qiao, Meiling Yu, Yanping Jiang, Yaping Chen and Shuai Gao. Their work appears in journals such as Fish & Shellfish Immunology, Aquaculture, Journal of Applied Microbiology, Viruses and Virulence.

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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