Hung Thai
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 10%
- Vibrio bacteria research studies
Papers in
-
- SARS-CoV-2 detection and testing 4
- COVID-19 Clinical Research Studies 4
- SARS-CoV-2 and COVID-19 Research 4
- Co-authors
- Quang Mai Vien (4 shared papers)Mary C. Nelson (1 shared paper)Chris Baysdorfer (1 shared paper)Yoshimasa Yamamoto (3 shared papers)Shuhei Ueda (2 shared papers)Itaru Hirai (2 shared papers)Tatsuya Nakayama (2 shared papers)Ryuji Kawahara (1 shared paper)
- Journals
- International Journal of Infectious Diseases (3 papers)BMC Public Health (3 papers)PLoS ONE (2 papers)Scientific Reports (1 paper)PLANT PHYSIOLOGY (1 paper)
- Partner nations
- JapanVietnamUnited States
In The Last Decade
Hung Thai
32 papers receiving 328 citations
Peers
Comparison fields: 5 of 81
- Molecular Medicine 100
- Endocrinology 69
- Pollution 64
- Modeling and Simulation 25
- Infectious Diseases 53
Countries citing papers authored by Hung Thai
This map shows the geographic impact of Hung Thai'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 Hung Thai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hung Thai more than expected).
Fields of papers citing papers by Hung Thai
This network shows the impact of papers produced by Hung Thai. 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 Hung Thai. The network helps show where Hung Thai may publish in the future.
Co-authors
The 25 scholars most cited alongside Hung Thai, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 70 | |
| 2 | 2015 | 69 | |
| 3 | 2016 | 29 | |
| 4 | 2021 | 22 | |
| 5 | 2021 | 21 | |
| 6 | 2017 | 20 | |
| 7 | 2021 | 12 | |
| 8 | 2021 | 10 | |
| 9 | 2019 | 9 | |
| 10 | 2022 | 9 | |
| 11 | 2022 | 9 | |
| 12 | 2017 | 7 | |
| 13 | 2022 | 6 | |
| 14 | 2021 | 6 | |
| 15 | 2021 | 5 | |
| 16 | 2023 | 3 | |
| 17 | 2021 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2024 | 2 |
About Hung Thai
Hung Thai is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Epidemiology, Health and Endocrinology, having authored 37 papers that have together received 334 indexed citations. Recurring topics across this work include Health disparities and outcomes (5 papers), SARS-CoV-2 detection and testing (4 papers), COVID-19 Clinical Research Studies (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Pneumonia and Respiratory Infections (3 papers), Vibrio bacteria research studies (3 papers), Respiratory viral infections research (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). The work is most often cited by research in Molecular Medicine (100 citations), Endocrinology (69 citations), Pollution (64 citations), Modeling and Simulation (25 citations) and Infectious Diseases (53 citations). Hung Thai has collaborated with scholars based in Japan, Vietnam and United States. Frequent co-authors include Quang Mai Vien, Mary C. Nelson, Chris Baysdorfer, Yoshimasa Yamamoto, Shuhei Ueda, Itaru Hirai, Tatsuya Nakayama, Ryuji Kawahara, Masahiko Hachiya and Tetsuya Mizoue. Their work appears in journals such as International Journal of Infectious Diseases, BMC Public Health, PLoS ONE, Scientific Reports and PLANT PHYSIOLOGY.
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.