Kyaw Soe
Impact in
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
- Viral Infections and Vectors
- Medical Laboratory Technology top 10%
Papers in
- Epidemiology 21
- Pneumocystis jirovecii pneumonia detection and treatment 11
- Pneumonia and Respiratory Infections 9
- Burkholderia infections and melioidosis 2
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- Tuberculosis Research and Epidemiology 15
- Co-authors
- Hemant Deepak Shewade (5 shared papers)Hui Zhang (3 shared papers)Tao Li (3 shared papers)Xin Du (3 shared papers)Si Thu Aung (11 shared papers)Srinath Satyanarayana (6 shared papers)Lixia Wang (2 shared papers)Cheerawit Rattanapan (1 shared paper)
In The Last Decade
Kyaw Soe
35 papers receiving 327 citations
Peers
Comparison fields: 5 of 93
- Infectious Diseases 158
- Medical Laboratory Technology 9
- Epidemiology 135
- Occupational Therapy 11
- Parasitology 13
Countries citing papers authored by Kyaw Soe
This map shows the geographic impact of Kyaw Soe'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 Kyaw Soe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyaw Soe more than expected).
Fields of papers citing papers by Kyaw Soe
This network shows the impact of papers produced by Kyaw Soe. 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 Kyaw Soe. The network helps show where Kyaw Soe may publish in the future.
Co-authors
The 25 scholars most cited alongside Kyaw Soe, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Effect of Computer-Assisted Instruction (CAI) on Reading Achievement: A Meta-Analysis. | 2000 | 42 |
| 2 | 2017 | 29 | |
| 3 | 2019 | 24 | |
| 4 | 2015 | 24 | |
| 5 | 2021 | 19 | |
| 6 | 2018 | 18 | |
| 7 | 2018 | 16 | |
| 8 | 2012 | 13 | |
| 9 | 2018 | 11 | |
| 10 | 2018 | 11 | |
| 11 | 2018 | 10 | |
| 12 | 2019 | 9 | |
| 13 | 2020 | 9 | |
| 14 | 2014 | 8 | |
| 15 | 2021 | 7 | |
| 16 | 2019 | 7 | |
| 17 | 2007 | 7 | |
| 18 | 2017 | 7 | |
| 19 | 2018 | 7 | |
| 20 | 2020 | 7 |
About Kyaw Soe
Kyaw Soe is a scholar working on Epidemiology, Infectious Diseases, Surgery, Molecular Biology and General Health Professions, having authored 37 papers that have together received 338 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (15 papers), Pneumocystis jirovecii pneumonia detection and treatment (11 papers), Pneumonia and Respiratory Infections (9 papers), Iron Metabolism and Disorders (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Burkholderia infections and melioidosis (2 papers), Diagnosis and treatment of tuberculosis (2 papers) and Global Maternal and Child Health (2 papers). The work is most often cited by research in Infectious Diseases (158 citations), Medical Laboratory Technology (9 citations), Epidemiology (135 citations), Occupational Therapy (11 citations) and Parasitology (13 citations). Kyaw Soe has collaborated with scholars based in Myanmar, France and Thailand. Frequent co-authors include Hemant Deepak Shewade, Hui Zhang, Tao Li, Xin Du, Si Thu Aung, Srinath Satyanarayana, Lixia Wang, Cheerawit Rattanapan, Khine Wut Yee Kyaw and Takehiko Koji. Their work appears in journals such as Tropical Medicine and Infectious Disease, The International Journal of Tuberculosis and Lung Disease, PLoS ONE, International Journal of Infectious Diseases and Transactions of the Royal Society of Tropical Medicine and Hygiene.
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.