Chien‐Te K. Tseng
- Infectious Diseases top 0.1%
- Immunology top 2%
- Animal Science and Zoology top 0.2%
- Molecular Biology top 10%
- Epidemiology top 2%
- Co-authors
- Gary R. KlimpelC. J. PetersXinrong TaoShinji MakinoLanying DuAnurodh Shankar AgrawalShibo JiangTania Garron
- Topics
- SARS-CoV-2 and COVID-19 Research (55 papers)Animal Virus Infections Studies (26 papers)Viral gastroenteritis research and epidemiology (23 papers)
- Journals
- Proceedings of the National Academy of SciencesThe LancetJournal of the American Chemical Society
- Partner nations
- United StatesChinaSaudi Arabia
In The Last Decade
Chien‐Te K. Tseng
81 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Infectious Diseases 4.3k
- Immunology 1.4k
- Animal Science and Zoology 1.3k
- Molecular Biology 1.1k
- Epidemiology 1.0k
Countries citing papers authored by Chien‐Te K. Tseng
This map shows the geographic impact of Chien‐Te K. Tseng'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 Chien‐Te K. Tseng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chien‐Te K. Tseng more than expected).
Fields of papers citing papers by Chien‐Te K. Tseng
This network shows the impact of papers produced by Chien‐Te K. Tseng. 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 Chien‐Te K. Tseng. The network helps show where Chien‐Te K. Tseng may publish in the future.
Co-authorship network of co-authors of Chien‐Te K. Tseng
This figure shows the co-authorship network connecting the top 25 collaborators of Chien‐Te K. Tseng. A scholar is included among the top collaborators of Chien‐Te K. Tseng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chien‐Te K. Tseng. Chien‐Te K. Tseng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 43 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 82 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 66 | |
| 10 | 52 | |
| 11 | 142 | |
| 12 | 43 | |
| 13 | 113 | |
| 14 | 165 | |
| 15 | 65 | |
| 16 | 62 | |
| 17 | 24 | |
| 18 | 112 | |
| 19 | 6 | |
| 20 | 7 |
About Chien‐Te K. Tseng
Chien‐Te K. Tseng is a scholar working on Infectious Diseases, Animal Science and Zoology and Immunology, having authored 84 papers that have together received 6.1k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (55 papers), Animal Virus Infections Studies (26 papers) and Viral gastroenteritis research and epidemiology (23 papers). The work is most often cited by research in Infectious Diseases (4.3k citations), Animal Science and Zoology (1.3k citations) and Immunology (1.4k citations). Chien‐Te K. Tseng has collaborated with scholars based in United States, China and Saudi Arabia. Frequent co-authors include Gary R. Klimpel, C. J. Peters, Xinrong Tao, Shinji Makino, Lanying Du, Anurodh Shankar Agrawal, Shibo Jiang, Tania Garron, Krishna Narayanan and Robert B. Couch. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of the American Chemical Society.
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.