Tun Ye

18 papers and 404 indexed citations i.

About

Tun Ye is a scholar working on Physiology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Tun Ye has authored 18 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 7 papers in Infectious Diseases and 6 papers in Epidemiology. Recurrent topics in Tun Ye’s work include Syphilis Diagnosis and Treatment (11 papers), Reproductive tract infections research (6 papers) and Virology and Viral Diseases (5 papers). Tun Ye is often cited by papers focused on Syphilis Diagnosis and Treatment (11 papers), Reproductive tract infections research (6 papers) and Virology and Viral Diseases (5 papers). Tun Ye collaborates with scholars based in United States, Vanuatu and Switzerland. Tun Ye's co-authors include Li Wei Ang, Lyn James, Suok Kai Chew, Yik Weng Yew, Grace Yap, Kee Tai Goh, Lee Ching Ng, Stefan Ma, Ronald C. Ballard and Marcelo Nascimento Burattini and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and Journal of Clinical Microbiology.

In The Last Decade

Co-authorship network of co-authors of Tun Ye i

Fields of papers citing papers by Tun Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Tun Ye

Since Specialization
Citations

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).

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.

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2025