Tran Tan Thanh
- Epidemiology top 1%
- Infectious Diseases top 1%
- Immunology top 5%
- Agronomy and Crop Science top 1%
- Molecular Biology
- Co-authors
- Jeremy FarrarTruong Huu KhanhPhan Tu QuiVo Minh HienDo Quang HaNguyễn Văn Vĩnh ChâuGavin J. D. SmithMalik Peiris
- Topics
- Viral gastroenteritis research and epidemiology (8 papers)Influenza Virus Research Studies (8 papers)Respiratory viral infections research (8 papers)
- Partner nations
- VietnamUnited KingdomUnited States
In The Last Decade
Tran Tan Thanh
29 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Epidemiology 2.3k
- Infectious Diseases 1.1k
- Immunology 894
- Agronomy and Crop Science 578
- Molecular Biology 459
Countries citing papers authored by Tran Tan Thanh
This map shows the geographic impact of Tran Tan Thanh'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 Tran Tan Thanh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tran Tan Thanh more than expected).
Fields of papers citing papers by Tran Tan Thanh
This network shows the impact of papers produced by Tran Tan Thanh. 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 Tran Tan Thanh. The network helps show where Tran Tan Thanh may publish in the future.
Co-authorship network of co-authors of Tran Tan Thanh
This figure shows the co-authorship network connecting the top 25 collaborators of Tran Tan Thanh. A scholar is included among the top collaborators of Tran Tan Thanh 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 Tran Tan Thanh. Tran Tan Thanh 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 | 4 | |
| 3 | 6 | |
| 4 | 8 | |
| 5 | 8 | |
| 6 | 9 | |
| 7 | 25 | |
| 8 | 38 | |
| 9 | 3 | |
| 10 | 42 | |
| 11 | 15 | |
| 12 | 17 | |
| 13 | 10 | |
| 14 | 96 | |
| 15 | 20 | |
| 16 | 42 | |
| 17 | 26 | |
| 18 | Fatal outcome of human influenza A (H5N1) is associated with high viral load and hypercytokinemiabreakdown → | 1464 |
| 19 | Oseltamivir Resistance during Treatment of Influenza A (H5N1) Infectionbreakdown → | 691 |
| 20 | 383 |
About Tran Tan Thanh
Tran Tan Thanh is a scholar working on Infectious Diseases, Endocrinology and Modeling and Simulation, having authored 29 papers that have together received 3.2k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (8 papers), Influenza Virus Research Studies (8 papers) and Respiratory viral infections research (8 papers). The work is most often cited by research in Epidemiology (2.3k citations), Infectious Diseases (1.1k citations) and Agronomy and Crop Science (578 citations). Tran Tan Thanh has collaborated with scholars based in Vietnam, United Kingdom and United States. Frequent co-authors include Jeremy Farrar, Truong Huu Khanh, Phan Tu Qui, Vo Minh Hien, Do Quang Ha, Nguyễn Văn Vĩnh Châu, Gavin J. D. Smith, Malik Peiris, Yi Guan and Tran Tinh Hien. Their work appears in journals such as New England Journal of Medicine, The Lancet and Nature Medicine.
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.