Win Win Maw
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria 4
- Microbiology top 10%
- Rheumatology top 10%
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology 3
- Antimicrobial Resistance in Staphylococcus 3
- Leprosy Research and Treatment 3
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- Mycobacterium research and diagnosis 5
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- Bacterial biofilms and quorum sensing 5
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- Immune Response and Inflammation 3
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- Vasculitis and related conditions 3
- Co-authors
- Haruaki TomiokaKatsumasa SatoBhaskar DasguptaNobumichi KobayashiMeiji Soe AungKaterina AchilleosToshiaki ShimizuMark D. Williams
In The Last Decade
Win Win Maw
26 papers receiving 513 citations
Peers
Comparison fields: 5 of 88
- Molecular Medicine 64
- Microbiology 50
- Rheumatology 115
- Infectious Diseases 131
- Applied Microbiology and Biotechnology 14
Countries citing papers authored by Win Win Maw
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).
Fields of papers citing papers by Win Win Maw
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.
Co-authorship network
The 25 scholars most cited alongside Win Win Maw, 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 | 2023 | 5 | |
| 2 | 2022 | 0 | |
| 3 | 2022 | 9 | |
| 4 | 2020 | 6 | |
| 5 | 2019 | 8 | |
| 6 | 2019 | 0 | |
| 7 | 2019 | 7 | |
| 8 | 2018 | 40 | |
| 9 | 2017 | 56 | |
| 10 | 2017 | 11 | |
| 11 | 2016 | 23 | |
| 12 | Fast track pathway reduces sight loss in giant cell arteritis: results of a longitudinal observational cohort study. | 2015 | 123 |
| 13 | 2012 | 49 | |
| 14 | Detection of intestinal parasitic infestation among primary school children, Magway. | 2010 | 2 |
| 15 | 2010 | 1 | |
| 16 | 2006 | 50 | |
| 17 | Roles of tumor necrosis factor-alpha and transforming growth factor-beta in regulating intercellular adhesion molecule-1 expression on murine peritoneal macrophages infected with M. leprae. | 1999 | 1 |
| 18 | 1997 | 16 | |
| 19 | 1996 | 14 | |
| 20 | 1995 | 43 |
About Win Win Maw
Win Win Maw is a scholar working on Molecular Medicine, Endocrinology, Infectious Diseases, Pharmacology and Immunology and Allergy, having authored 28 papers that have together received 518 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (5 papers), Bacterial biofilms and quorum sensing (5 papers), Antibiotic Resistance in Bacteria (4 papers), Tuberculosis Research and Epidemiology (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Immune Response and Inflammation (3 papers), Vasculitis and related conditions (3 papers) and Leprosy Research and Treatment (3 papers). The work is most often cited by research in Molecular Medicine (64 citations), Microbiology (50 citations), Rheumatology (115 citations), Infectious Diseases (131 citations) and Applied Microbiology and Biotechnology (14 citations). Win Win Maw has collaborated with scholars based in Japan, Myanmar and Thailand. Frequent co-authors include Haruaki Tomioka, Katsumasa Sato, Bhaskar Dasgupta, Nobumichi Kobayashi, Meiji Soe Aung, Katerina Achilleos, Toshiaki Shimizu, Mark D. Williams, Noriko Urushibara and Hajime Saito. Their work appears in journals such as Microbial Drug Resistance, Clinical & Experimental Immunology, International Journal of Food Science & Technology, Immunology and Journal of Leukocyte Biology.
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.