Ming Te Yeh
Impact in
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
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- Viral Infections and Immunology Research
Papers in
-
- Viral gastroenteritis research and epidemiology 9
-
- Viral Infections and Immunology Research 10
- Co-authors
- Raul Andino (12 shared papers)Andrew Macadam (5 shared papers)John Konz (3 shared papers)Erika Bujáki (3 shared papers)Amy J. Weiner (3 shared papers)Sara Capponi (3 shared papers)Hilde Revets (2 shared papers)Pierre Van Damme (2 shared papers)
- Journals
- Cell Reports (2 papers)Scientific Reports (2 papers)Nature Communications (1 paper)Journal of Virology (1 paper)Vaccine X (1 paper)
- Partner nations
- United StatesUnited KingdomUganda
In The Last Decade
Ming Te Yeh
14 papers receiving 533 citations
Peers
Comparison fields: 5 of 73
- Infectious Diseases 264
- Cardiology and Cardiovascular Medicine 291
- Agronomy and Crop Science 80
- Animal Science and Zoology 42
- Modeling and Simulation 17
Countries citing papers authored by Ming Te Yeh
This map shows the geographic impact of Ming Te Yeh'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 Ming Te Yeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Te Yeh more than expected).
Fields of papers citing papers by Ming Te Yeh
This network shows the impact of papers produced by Ming Te Yeh. 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 Ming Te Yeh. The network helps show where Ming Te Yeh may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Te Yeh, 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 | 2020 | 141 | |
| 2 | 2019 | 83 | |
| 3 | 2011 | 68 | |
| 4 | 2020 | 66 | |
| 5 | 2021 | 47 | |
| 6 | 2014 | 40 | |
| 7 | 2008 | 31 | |
| 8 | 2023 | 30 | |
| 9 | 2020 | 12 | |
| 10 | 2023 | 7 | |
| 11 | 2021 | 7 | |
| 12 | 2020 | 7 | |
| 13 | 2024 | 6 | |
| 14 | 2020 | 4 | |
| 15 | 2019 | 0 |
About Ming Te Yeh
Ming Te Yeh is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine, Molecular Biology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 15 papers that have together received 549 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (10 papers), Viral gastroenteritis research and epidemiology (9 papers), RNA and protein synthesis mechanisms (4 papers), Infection Control and Ventilation (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Hepatitis B Virus Studies (1 paper), COVID-19 epidemiological studies (1 paper) and Virology and Viral Diseases (1 paper). The work is most often cited by research in Infectious Diseases (264 citations), Cardiology and Cardiovascular Medicine (291 citations), Agronomy and Crop Science (80 citations), Animal Science and Zoology (42 citations) and Modeling and Simulation (17 citations). Ming Te Yeh has collaborated with scholars based in United States, United Kingdom and Uganda. Frequent co-authors include Raul Andino, Andrew Macadam, John Konz, Erika Bujáki, Amy J. Weiner, Sara Capponi, Hilde Revets, Pierre Van Damme, Matthew D. Smith and Patrick Dolan. Their work appears in journals such as Cell Reports, Scientific Reports, Nature Communications, Journal of Virology and Vaccine X.
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.