Ian Fish
Impact in
- Agronomy and Crop Science top 2%
- Animal Disease Management and Epidemiology
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- Vector-Borne Animal Diseases
Papers in
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- Animal Disease Management and Epidemiology 23
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- Viral Infections and Immunology Research 21
- Co-authors
- Jonathan Arzt (23 shared papers)Carolina Stenfeldt (16 shared papers)Steven J. Pauszek (16 shared papers)George R. Smoliga (19 shared papers)Ethan J. Hartwig (18 shared papers)Miranda R. Bertram (17 shared papers)Rachel Palinski (8 shared papers)Do H. Dung (6 shared papers)
- Journals
- mSphere (2 papers)Journal of Virology (2 papers)Pathogens (2 papers)PLoS ONE (2 papers)Immunogenetics (1 paper)
- Partner nations
- United StatesVietnamPakistan
In The Last Decade
Ian Fish
20 papers receiving 307 citations
Peers
Comparison fields: 5 of 26
- Agronomy and Crop Science 262
- Ecology, Evolution, Behavior and Systematics 199
- Cardiology and Cardiovascular Medicine 195
- Endocrinology 24
- Infectious Diseases 41
Countries citing papers authored by Ian Fish
This map shows the geographic impact of Ian Fish'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 Ian Fish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian Fish more than expected).
Fields of papers citing papers by Ian Fish
This network shows the impact of papers produced by Ian Fish. 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 Ian Fish. The network helps show where Ian Fish may publish in the future.
Co-authors
The 25 scholars most cited alongside Ian Fish, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 76 | |
| 2 | 2018 | 38 | |
| 3 | 2018 | 32 | |
| 4 | 2017 | 28 | |
| 5 | 2021 | 24 | |
| 6 | 2019 | 19 | |
| 7 | 2019 | 18 | |
| 8 | 2022 | 13 | |
| 9 | 2019 | 11 | |
| 10 | 2020 | 10 | |
| 11 | 2016 | 9 | |
| 12 | 2019 | 7 | |
| 13 | 2015 | 7 | |
| 14 | 2021 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2017 | 3 | |
| 18 | 2022 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2020 | 1 |
About Ian Fish
Ian Fish is a scholar working on Agronomy and Crop Science, Cardiology and Cardiovascular Medicine, Ecology, Evolution, Behavior and Systematics, Molecular Biology and Immunology, having authored 26 papers that have together received 310 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (23 papers), Vector-Borne Animal Diseases (21 papers), Viral Infections and Immunology Research (21 papers), interferon and immune responses (2 papers), RNA and protein synthesis mechanisms (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Plant and Fungal Interactions Research (1 paper) and Virology and Viral Diseases (1 paper). The work is most often cited by research in Agronomy and Crop Science (262 citations), Ecology, Evolution, Behavior and Systematics (199 citations), Cardiology and Cardiovascular Medicine (195 citations), Endocrinology (24 citations) and Infectious Diseases (41 citations). Ian Fish has collaborated with scholars based in United States, Vietnam and Pakistan. Frequent co-authors include Jonathan Arzt, Carolina Stenfeldt, Steven J. Pauszek, George R. Smoliga, Ethan J. Hartwig, Miranda R. Bertram, Rachel Palinski, Do H. Dung, Le T. Vu and Nguyễn Thị Kim Phượng. Their work appears in journals such as mSphere, Journal of Virology, Pathogens, PLoS ONE and Immunogenetics.
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.