Phyu M. Thwe
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immune cells in cancer
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Response and Inflammation
Papers in
-
- Antifungal resistance and susceptibility 2
- Tuberculosis Research and Epidemiology 2
- Co-authors
- Eyal Amiel (5 shared papers)Ping Ren (8 shared papers)Angelo D’Alessandro (2 shared papers)Bart Everts (2 shared papers)Julie A. Reisz (2 shared papers)Leonard R. Pelgrom (2 shared papers)Rachel Cooper (2 shared papers)Daniel Fritz (1 shared paper)
- Journals
- Journal of Clinical Microbiology (5 papers)Diagnostic Microbiology and Infectious Disease (2 papers)The Journal of Immunology (1 paper)Journal of Leukocyte Biology (1 paper)Cell Metabolism (1 paper)
- Partner nations
- United StatesNetherlands
In The Last Decade
Phyu M. Thwe
17 papers receiving 372 citations
Peers
Comparison fields: 5 of 73
- Immunology 207
- Biological Psychiatry 7
- Cancer Research 41
- Infectious Diseases 48
- Biotechnology 17
Countries citing papers authored by Phyu M. Thwe
This map shows the geographic impact of Phyu M. Thwe'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 Phyu M. Thwe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phyu M. Thwe more than expected).
Fields of papers citing papers by Phyu M. Thwe
This network shows the impact of papers produced by Phyu M. Thwe. 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 Phyu M. Thwe. The network helps show where Phyu M. Thwe may publish in the future.
Co-authors
The 25 scholars most cited alongside Phyu M. Thwe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 181 | |
| 2 | 2017 | 89 | |
| 3 | 2020 | 34 | |
| 4 | 2019 | 28 | |
| 5 | 2020 | 9 | |
| 6 | 2020 | 9 | |
| 7 | 2016 | 6 | |
| 8 | 2022 | 5 | |
| 9 | 2020 | 4 | |
| 10 | 2020 | 3 | |
| 11 | 2023 | 2 | |
| 12 | 2025 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2018 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2018 | 0 |
About Phyu M. Thwe
Phyu M. Thwe is a scholar working on Epidemiology, Infectious Diseases, Immunology, Public Health, Environmental and Occupational Health and Biotechnology, having authored 21 papers that have together received 376 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), Streptococcal Infections and Treatments (3 papers), Immune Cell Function and Interaction (3 papers), Immune cells in cancer (3 papers), Immune Response and Inflammation (3 papers), Antifungal resistance and susceptibility (2 papers), COVID-19 diagnosis using AI (2 papers) and Tuberculosis Research and Epidemiology (2 papers). The work is most often cited by research in Immunology (207 citations), Biological Psychiatry (7 citations), Cancer Research (41 citations), Infectious Diseases (48 citations) and Biotechnology (17 citations). Phyu M. Thwe has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Eyal Amiel, Ping Ren, Angelo D’Alessandro, Bart Everts, Julie A. Reisz, Leonard R. Pelgrom, Rachel Cooper, Daniel Fritz, Natalie Williams‐Bouyer and Laura R. Hoyt. Their work appears in journals such as Journal of Clinical Microbiology, Diagnostic Microbiology and Infectious Disease, The Journal of Immunology, Journal of Leukocyte Biology and Cell Metabolism.
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.