Tung Gia Phan
- Infectious Diseases top 0.1%
- Viral gastroenteritis research and epidemiology 108
- SARS-CoV-2 and COVID-19 Research 8
- Animal Science and Zoology top 0.05%
- Animal Virus Infections Studies 68
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- Viral Infections and Immunology Research 60
- Hepatology top 1%
- Hepatitis Viruses Studies and Epidemiology 10
- Genetics top 1%
- Virus-based gene therapy research 32
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- Respiratory viral infections research 19
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- Plant Virus Research Studies 14
- Co-authors
- Hiroshi UshijimaEric DelwartShoko OkitsuXutao DengNiwat ManeekarnFumihiro YagyuTuan Anh NguyenBeatrix Kapusinszky
- Journals
- Proceedings of the National Academy of Sciences (1 paper)SHILAP Revista de lepidopterología (7 papers)PLoS ONE (6 papers)
- Partner nations
- United StatesJapanThailand
In The Last Decade
Tung Gia Phan
155 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Infectious Diseases 4.4k
- Animal Science and Zoology 2.4k
- Cardiology and Cardiovascular Medicine 1.9k
- Hepatology 649
- Genetics 1.2k
Countries citing papers authored by Tung Gia Phan
This map shows the geographic impact of Tung Gia Phan'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 Tung Gia Phan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tung Gia Phan more than expected).
Fields of papers citing papers by Tung Gia Phan
This network shows the impact of papers produced by Tung Gia Phan. 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 Tung Gia Phan. The network helps show where Tung Gia Phan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tung Gia Phan, 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 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 5 | |
| 5 | 2022 | 1 | |
| 6 | 2020 | 2 | |
| 7 | 2020 | 1 | |
| 8 | 2019 | 19 | |
| 9 | 2017 | 22 | |
| 10 | 2016 | 43 | |
| 11 | 2015 | 22 | |
| 12 | 2015 | 30 | |
| 13 | 2015 | 2 | |
| 14 | 2014 | 5 | |
| 15 | 2013 | 170 | |
| 16 | 2013 | 113 | |
| 17 | 2008 | 8 | |
| 18 | 2008 | 23 | |
| 19 | 2007 | 45 | |
| 20 | 2005 | 26 |
About Tung Gia Phan
Tung Gia Phan is a scholar working on Infectious Diseases, Animal Science and Zoology and Cardiology and Cardiovascular Medicine, having authored 158 papers that have together received 5.8k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (108 papers), Animal Virus Infections Studies (68 papers), Viral Infections and Immunology Research (60 papers), Virus-based gene therapy research (32 papers), Respiratory viral infections research (19 papers), Plant Virus Research Studies (14 papers), Hepatitis Viruses Studies and Epidemiology (10 papers) and SARS-CoV-2 and COVID-19 Research (8 papers). The work is most often cited by research in Infectious Diseases (4.4k citations), Animal Science and Zoology (2.4k citations) and Cardiology and Cardiovascular Medicine (1.9k citations). Tung Gia Phan has collaborated with scholars based in United States, Japan and Thailand. Frequent co-authors include Hiroshi Ushijima, Eric Delwart, Shoko Okitsu, Xutao Deng, Niwat Maneekarn, Fumihiro Yagyu, Tuan Anh Nguyen, Beatrix Kapusinszky, Pattara Khamrin and Nguyễn Anh Tuấn. 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.