Tun Ye
Impact in
- Microbiology top 5%
- Reproductive tract infections research
- Physiology top 10%
- Syphilis Diagnosis and Treatment
Papers in
- Physiology 12
- Syphilis Diagnosis and Treatment 12
-
- Reproductive tract infections research 3
- Co-authors
- Li Wei Ang (3 shared papers)Lyn James (2 shared papers)Suok Kai Chew (1 shared paper)Yik Weng Yew (1 shared paper)Grace Yap (1 shared paper)Kee Tai Goh (1 shared paper)Lee Ching Ng (1 shared paper)Ronald C. Ballard (6 shared papers)
- Journals
- Journal of Clinical Microbiology (2 papers)The Lancet Global Health (2 papers)BMJ Open (1 paper)The Lancet Infectious Diseases (1 paper)The Journal of Infectious Diseases (1 paper)
- Partner nations
- United StatesUnited KingdomGhana
In The Last Decade
Tun Ye
19 papers receiving 510 citations
Peers
Comparison fields: 5 of 71
- Microbiology 82
- Physiology 206
- Infectious Diseases 143
- Public Health, Environmental and Occupational Health 210
- Modeling and Simulation 32
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 | 55 | |
| 3 | 2014 | 55 | |
| 4 | 2016 | 44 | |
| 5 | 2015 | 37 | |
| 6 | 2014 | 31 | |
| 7 | 2018 | 30 | |
| 8 | 2013 | 27 | |
| 9 | 2019 | 26 | |
| 10 | 2018 | 21 | |
| 11 | 2013 | 18 | |
| 12 | 2016 | 17 | |
| 13 | 2004 | 14 | |
| 14 | 2017 | 13 | |
| 15 | 2016 | 9 | |
| 16 | 2018 | 9 | |
| 17 | 2021 | 7 | |
| 18 | 2022 | 5 | |
| 19 | 2020 | 3 | |
| 20 | 2025 | 0 |
About Tun Ye
Tun Ye is a scholar working on Physiology, Microbiology, Infectious Diseases, Public Health, Environmental and Occupational Health and Epidemiology, having authored 20 papers that have together received 530 indexed citations. Recurring topics across this work include Syphilis Diagnosis and Treatment (12 papers), Sex work and related issues (3 papers), Reproductive tract infections research (3 papers), HIV/AIDS Research and Interventions (2 papers), Herpesvirus Infections and Treatments (2 papers), Mosquito-borne diseases and control (2 papers), Virology and Viral Diseases (2 papers) and Adolescent Sexual and Reproductive Health (2 papers). The work is most often cited by research in Microbiology (82 citations), Physiology (206 citations), Infectious Diseases (143 citations), Public Health, Environmental and Occupational Health (210 citations) and Modeling and Simulation (32 citations). Tun Ye has collaborated with scholars based in United States, United Kingdom and Ghana. Frequent co-authors include Li Wei Ang, Lyn James, Suok Kai Chew, Yik Weng Yew, Grace Yap, Kee Tai Goh, Lee Ching Ng, Ronald C. Ballard, Fasihah Taleo and Stefan Ma. Their work appears in journals such as Journal of Clinical Microbiology, The Lancet Global Health, BMJ Open, The Lancet Infectious Diseases and The Journal of Infectious Diseases.
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.