Wen Shi
Impact in
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology
Papers in
- Immunology 17
- Aquaculture disease management and microbiota 15
- Invertebrate Immune Response Mechanisms 5
- interferon and immune responses 3
-
- Animal Virus Infections Studies 13
- Co-authors
- Lijie Tang (14 shared papers)Yigang Xu (12 shared papers)Xiaona Wang (5 shared papers)Li Wang (4 shared papers)Yanping Jiang (3 shared papers)Min Liu (9 shared papers)Xinyuan Qiao (2 shared papers)Meiling Yu (3 shared papers)
- Journals
- Fish & Shellfish Immunology (7 papers)Aquaculture (3 papers)Viruses (3 papers)Journal of Applied Microbiology (3 papers)Journal of Medical Microbiology (1 paper)
- Partner nations
- ChinaUnited Kingdom
In The Last Decade
Wen Shi
29 papers receiving 490 citations
Peers
Comparison fields: 5 of 60
- Animal Science and Zoology 208
- Infectious Diseases 203
- Immunology 191
- Endocrinology 39
- Microbiology 46
Countries citing papers authored by Wen Shi
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
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.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 68 | |
| 2 | 2018 | 68 | |
| 3 | 2017 | 42 | |
| 4 | 2016 | 38 | |
| 5 | 2017 | 27 | |
| 6 | 2020 | 26 | |
| 7 | 2017 | 26 | |
| 8 | 2018 | 26 | |
| 9 | 2019 | 14 | |
| 10 | 2021 | 14 | |
| 11 | 2018 | 13 | |
| 12 | 2019 | 12 | |
| 13 | 2018 | 12 | |
| 14 | 2019 | 11 | |
| 15 | 2022 | 11 | |
| 16 | 2017 | 11 | |
| 17 | 2018 | 11 | |
| 18 | 2022 | 10 | |
| 19 | 2020 | 10 | |
| 20 | 2017 | 9 |
About Wen Shi
Wen Shi is a scholar working on Immunology, Animal Science and Zoology, Genetics, Infectious Diseases and Molecular Biology, having authored 29 papers that have together received 490 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 (6 papers), Invertebrate Immune Response Mechanisms (5 papers), Viral gastroenteritis research and epidemiology (4 papers), interferon and immune responses (3 papers), Vibrio bacteria research studies (2 papers) and Mosquito-borne diseases and control (2 papers). The work is most often cited by research in Animal Science and Zoology (208 citations), Infectious Diseases (203 citations), Immunology (191 citations), Endocrinology (39 citations) and Microbiology (46 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, Yanping Jiang, Min Liu, Xinyuan Qiao, Meiling Yu, Yaping Chen and Shuai Gao. Their work appears in journals such as Fish & Shellfish Immunology, Aquaculture, Viruses, Journal of Applied Microbiology and Journal of Medical Microbiology.
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.