L. Masae Kawamura
- Infectious Diseases top 1%
- Tuberculosis Research and Epidemiology 35
- Epidemiology top 2%
- Mycobacterium research and diagnosis 17
- Pneumocystis jirovecii pneumonia detection and treatment 11
- Pneumonia and Respiratory Infections 8
- Surgery top 5%
- Infectious Diseases and Tuberculosis 9
- Diagnosis and treatment of tuberculosis 6
- Modeling and Simulation top 5%
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- vaccines and immunoinformatics approaches 2
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- Evolution and Genetic Dynamics 2
- Co-authors
- Philip C. HopewellJennifer GrinsdaleCharles L. DaleyDennis OsmondPayam NahidPuneet DewanLeah G. JarlsbergBouke C. de Jong
- Journals
- Annals of Internal Medicine (1 paper)The Journal of Immunology (1 paper)PLoS ONE (3 papers)
- Partner nations
- United StatesSwitzerlandSouth Korea
In The Last Decade
L. Masae Kawamura
36 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 120
- Infectious Diseases 1.4k
- Epidemiology 1.1k
- Surgery 641
- Modeling and Simulation 40
- Immunology 154
Countries citing papers authored by L. Masae Kawamura
This map shows the geographic impact of L. Masae Kawamura'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 L. Masae Kawamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Masae Kawamura more than expected).
Fields of papers citing papers by L. Masae Kawamura
This network shows the impact of papers produced by L. Masae Kawamura. 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 L. Masae Kawamura. The network helps show where L. Masae Kawamura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside L. Masae Kawamura, 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 | 2020 | 6 | |
| 2 | 2018 | 2 | |
| 3 | 2017 | 5 | |
| 4 | 2014 | 33 | |
| 5 | 2013 | 7 | |
| 6 | 2013 | 63 | |
| 7 | 2012 | 21 | |
| 8 | 2011 | 245 | |
| 9 | 2009 | 30 | |
| 10 | 2008 | 89 | |
| 11 | 2007 | 99 | |
| 12 | 2007 | 30 | |
| 13 | 2006 | 63 | |
| 14 | A 13-year molecular epidemiological analysis of tuberculosis in San Francisco. | 2006 | 28 |
| 15 | 2006 | 118 | |
| 16 | 2005 | 40 | |
| 17 | 2004 | 78 | |
| 18 | 2004 | 22 | |
| 19 | 1998 | 89 | |
| 20 | 1998 | 102 |
About L. Masae Kawamura
L. Masae Kawamura is a scholar working on Infectious Diseases, Epidemiology and Surgery, having authored 36 papers that have together received 1.6k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (35 papers), Mycobacterium research and diagnosis (17 papers), Pneumocystis jirovecii pneumonia detection and treatment (11 papers), Infectious Diseases and Tuberculosis (9 papers), Pneumonia and Respiratory Infections (8 papers), Diagnosis and treatment of tuberculosis (6 papers), vaccines and immunoinformatics approaches (2 papers) and Evolution and Genetic Dynamics (2 papers). The work is most often cited by research in Infectious Diseases (1.4k citations), Epidemiology (1.1k citations) and Surgery (641 citations). L. Masae Kawamura has collaborated with scholars based in United States, Switzerland and South Korea. Frequent co-authors include Philip C. Hopewell, Jennifer Grinsdale, Charles L. Daley, Dennis Osmond, Payam Nahid, Puneet Dewan, Leah G. Jarlsberg, Bouke C. de Jong, Alon Unger and Leah C. Gonzalez. Their work appears in journals such as Annals of Internal Medicine, The Journal of Immunology and PLoS ONE.
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.