Phillip C. Gauger
- Animal Science and Zoology top 0.05%
- Animal Virus Infections Studies 147
- Infectious Diseases top 0.2%
- Viral gastroenteritis research and epidemiology 129
- Agronomy and Crop Science top 0.1%
- Animal Disease Management and Epidemiology 71
- Epidemiology top 1%
- Influenza Virus Research Studies 71
- Respiratory viral infections research 43
- Genetics top 1%
- Virus-based gene therapy research 62
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- Viral Infections and Immunology Research 25
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- Microbial infections and disease research 12
- Co-authors
- Amy L. VincentJianqiang ZhangKaren M. HarmonRodger MainGanwu LiCrystal L. LovingKelly M. LagerTavis K. Anderson
- Journals
- Proceedings of the National Academy of Sciences (1 paper)SHILAP Revista de lepidopterología (2 papers)PLoS ONE (3 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Phillip C. Gauger
196 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Animal Science and Zoology 3.3k
- Infectious Diseases 3.5k
- Agronomy and Crop Science 1.9k
- Epidemiology 2.2k
- Genetics 1.7k
Countries citing papers authored by Phillip C. Gauger
This map shows the geographic impact of Phillip C. Gauger'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 Phillip C. Gauger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip C. Gauger more than expected).
Fields of papers citing papers by Phillip C. Gauger
This network shows the impact of papers produced by Phillip C. Gauger. 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 Phillip C. Gauger. The network helps show where Phillip C. Gauger may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Phillip C. Gauger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 14 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 3 | |
| 11 | 2022 | 0 | |
| 12 | 2022 | 5 | |
| 13 | 2021 | 17 | |
| 14 | 2021 | 5 | |
| 15 | 2021 | 19 | |
| 16 | 2021 | 18 | |
| 17 | 2021 | 30 | |
| 18 | 2020 | 13 | |
| 19 | 2015 | 8 | |
| 20 | 2007 | 173 |
About Phillip C. Gauger
Phillip C. Gauger is a scholar working on Animal Science and Zoology, Infectious Diseases and Agronomy and Crop Science, having authored 207 papers that have together received 5.6k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (147 papers), Viral gastroenteritis research and epidemiology (129 papers), Influenza Virus Research Studies (71 papers), Animal Disease Management and Epidemiology (71 papers), Virus-based gene therapy research (62 papers), Respiratory viral infections research (43 papers), Viral Infections and Immunology Research (25 papers) and Microbial infections and disease research (12 papers). The work is most often cited by research in Animal Science and Zoology (3.3k citations), Infectious Diseases (3.5k citations) and Agronomy and Crop Science (1.9k citations). Phillip C. Gauger has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Amy L. Vincent, Jianqiang Zhang, Karen M. Harmon, Rodger Main, Ganwu Li, Crystal L. Loving, Kelly M. Lager, Tavis K. Anderson, Kyoung‐Jin Yoon and Eric Burrough. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.
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.