Gavin J. D. Smith
Impact in
- Agronomy and Crop Science top 0.02%
- Animal Disease Management and Epidemiology
- Infectious Diseases top 0.1%
- Viral gastroenteritis research and epidemiology
- Viral Infections and Vectors
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Animal Disease Management and Epidemiology 57
-
- Viral Infections and Vectors 36
- Viral gastroenteritis research and epidemiology 32
- SARS-CoV-2 and COVID-19 Research 15
- Co-authors
- Yi GuanMalik PeirisDhanasekaran VijaykrishnaRobert G. WebsterHonglin ChenJustin BahlY. M. CheungLeo L. M. Poon
- Journals
- Journal of Virology (17 papers)Emerging infectious diseases (9 papers)Viruses (7 papers)PLoS Pathogens (7 papers)Proceedings of the National Academy of Sciences (6 papers)
- Partner nations
- United StatesSingaporeHong Kong
In The Last Decade
Gavin J. D. Smith
136 papers receiving 13.1k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Agronomy and Crop Science 4.7k
- Infectious Diseases 6.1k
- Epidemiology 9.6k
- Modeling and Simulation 682
- Animal Science and Zoology 1.3k
Countries citing papers authored by Gavin J. D. Smith
This map shows the geographic impact of Gavin J. D. Smith'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 Gavin J. D. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gavin J. D. Smith more than expected).
Fields of papers citing papers by Gavin J. D. Smith
This network shows the impact of papers produced by Gavin J. D. Smith. 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 Gavin J. D. Smith. The network helps show where Gavin J. D. Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Gavin J. D. Smith, 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 | 2024 | 3 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 10 | |
| 5 | 2023 | 7 | |
| 6 | 2022 | 25 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 2 | |
| 9 | 2021 | 11 | |
| 10 | 2021 | 8 | |
| 11 | 2021 | 3 | |
| 12 | 2020 | 12 | |
| 13 | 2020 | 18 | |
| 14 | 2020 | 10 | |
| 15 | 2019 | 29 | |
| 16 | 2019 | 91 | |
| 17 | 2017 | 15 | |
| 18 | 2017 | 7 | |
| 19 | 2007 | 204 | |
| 20 | 2006 | 256 |
About Gavin J. D. Smith
Gavin J. D. Smith is a scholar working on Agronomy and Crop Science, Infectious Diseases, Epidemiology, Animal Science and Zoology and Modeling and Simulation, having authored 138 papers that have together received 13.5k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (71 papers), Animal Disease Management and Epidemiology (57 papers), Viral Infections and Vectors (36 papers), Respiratory viral infections research (34 papers), Viral gastroenteritis research and epidemiology (32 papers), Animal Virus Infections Studies (19 papers), SARS-CoV-2 and COVID-19 Research (15 papers) and COVID-19 epidemiological studies (8 papers). The work is most often cited by research in Agronomy and Crop Science (4.7k citations), Infectious Diseases (6.1k citations), Epidemiology (9.6k citations), Modeling and Simulation (682 citations) and Animal Science and Zoology (1.3k citations). Gavin J. D. Smith has collaborated with scholars based in United States, Singapore and Hong Kong. Frequent co-authors include Yi Guan, Malik Peiris, Dhanasekaran Vijaykrishna, Robert G. Webster, Honglin Chen, Justin Bahl, Y. M. Cheung, Leo L. M. Poon, Oliver G. Pybus and Samir Bhatt. Their work appears in journals such as Journal of Virology, Emerging infectious diseases, Viruses, PLoS Pathogens and Proceedings of the National Academy of Sciences.
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.