Tun Ye
Impact in
- Microbiology top 5%
- Reproductive tract infections research
- Infectious Diseases top 10%
- Viral Infections and Vectors
- HIV/AIDS Research and Interventions
Papers in ⓘ
-
- Reproductive tract infections research 7
- Physiology 12
- Syphilis Diagnosis and Treatment 12
- Co-authors
- Li Wei Ang (3 shared papers)Lyn James (2 shared papers)Kee Tai Goh (1 shared paper)Grace Yap (1 shared paper)Suok Kai Chew (1 shared paper)Lee Ching Ng (1 shared paper)Yik Weng Yew (1 shared paper)Ronald C. Ballard (7 shared papers)
- Journals
- Journal of Clinical Microbiology (2 papers)Clinical Infectious Diseases (1 paper)AIDS Education and Prevention (1 paper)BMJ Open (1 paper)Journal of Travel Medicine (1 paper)
- Partner nations
- United StatesGhanaSwitzerland
In The Last Decade
Tun Ye
19 papers receiving 438 citations
Peers
Comparison fields: 5 of 74
- Microbiology 100
- Infectious Diseases 200
- Modeling and Simulation 42
- Public Health, Environmental and Occupational Health 223
- Physiology 182
Countries citing papers authored by Tun Ye
This map shows the geographic impact of Tun Ye'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 Tun Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tun Ye more than expected).
Fields of papers citing papers by Tun Ye
This network shows the impact of papers produced by Tun Ye. 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 Tun Ye. The network helps show where Tun Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Tun Ye, 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 | 2009 | 109 | |
| 2 | 2008 | 53 | |
| 3 | 2014 | 43 | |
| 4 | 2016 | 36 | |
| 5 | 2015 | 31 | |
| 6 | 2013 | 26 | |
| 7 | 2018 | 24 | |
| 8 | 2014 | 23 | |
| 9 | 2019 | 21 | |
| 10 | 2013 | 16 | |
| 11 | 2016 | 16 | |
| 12 | 2017 | 13 | |
| 13 | 2004 | 13 | |
| 14 | 2016 | 8 | |
| 15 | 2021 | 7 | |
| 16 | 2018 | 6 | |
| 17 | 2020 | 3 | |
| 18 | 2022 | 2 | |
| 19 | 2015 | 1 |
About Tun Ye
Tun Ye is a scholar working on Microbiology, Physiology, Infectious Diseases, Modeling and Simulation and Virology, having authored 19 papers that have together received 451 indexed citations. Recurring topics across this work include Syphilis Diagnosis and Treatment (12 papers), Reproductive tract infections research (7 papers), Virology and Viral Diseases (6 papers), HIV/AIDS Research and Interventions (4 papers), Sex work and related issues (4 papers), Malaria Research and Control (2 papers), Adolescent Sexual and Reproductive Health (2 papers) and Herpesvirus Infections and Treatments (2 papers). The work is most often cited by research in Microbiology (100 citations), Infectious Diseases (200 citations), Modeling and Simulation (42 citations), Public Health, Environmental and Occupational Health (223 citations) and Physiology (182 citations). Tun Ye has collaborated with scholars based in United States, Ghana and Switzerland. Frequent co-authors include Li Wei Ang, Lyn James, Kee Tai Goh, Grace Yap, Suok Kai Chew, Lee Ching Ng, Yik Weng Yew, Ronald C. Ballard, Francisco Antônio Bezerra Coutinho and Stefan Ma. Their work appears in journals such as Journal of Clinical Microbiology, Clinical Infectious Diseases, AIDS Education and Prevention, BMJ Open and Journal of Travel 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.