Win Win Maw

26 papers and 476 indexed citations i.

About

Win Win Maw is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Win Win Maw has authored 26 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 8 papers in Molecular Biology and 6 papers in Epidemiology. Recurrent topics in Win Win Maw’s work include Bacterial biofilms and quorum sensing (5 papers), Mycobacterium research and diagnosis (5 papers) and Antibiotic Resistance in Bacteria (4 papers). Win Win Maw is often cited by papers focused on Bacterial biofilms and quorum sensing (5 papers), Mycobacterium research and diagnosis (5 papers) and Antibiotic Resistance in Bacteria (4 papers). Win Win Maw collaborates with scholars based in Japan, Myanmar and United States. Win Win Maw's co-authors include Haruaki Tomioka, Katsumasa Sato, Toshiaki Shimizu, Meiji Soe Aung, Nobumichi Kobayashi, Hajime Saito, Katerina Achilleos, Frances Borg, Bhaskar Dasgupta and Mark D. Williams and has published in prestigious journals such as American Journal of Obstetrics and Gynecology, Journal of Leukocyte Biology and Lara D. Veeken.

In The Last Decade

Co-authorship network of co-authors of Win Win Maw i

Fields of papers citing papers by Win Win Maw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Win Win Maw. 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 Win Win Maw. The network helps show where Win Win Maw may publish in the future.

Countries citing papers authored by Win Win Maw

Since Specialization
Citations

This map shows the geographic impact of Win Win Maw'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 Win Win Maw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Win Win Maw 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