Michael P. Chen
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
- HIV/AIDS drug development and treatment
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- Pneumocystis jirovecii pneumonia detection and treatment
- Mycobacterium research and diagnosis
- Pneumonia and Respiratory Infections
Papers in
-
- Tuberculosis Research and Epidemiology 10
-
- Influenza Virus Research Studies 1
- Data-Driven Disease Surveillance 1
- Hepatitis B Virus Studies 1
- Co-authors
- Nigel A. Scott (3 shared papers)Margarita Elsa Villarino (2 shared papers)José María Miró (2 shared papers)Carla A. Winston (4 shared papers)Richard E. Chaisson (1 shared paper)Rosa M Infante (1 shared paper)Timothy R. Sterling (1 shared paper)Fred M. Gordin (1 shared paper)
- Journals
- Clinical Infectious Diseases (3 papers)BMC Public Health (2 papers)Statistics in Medicine (2 papers)The Journal of Infectious Diseases (1 paper)Annals of Internal Medicine (1 paper)
- Partner nations
- United StatesSpainKenya
In The Last Decade
Michael P. Chen
13 papers receiving 618 citations
Peers
Comparison fields: 5 of 61
- Infectious Diseases 503
- Epidemiology 239
- Family Practice 7
- Applied Microbiology and Biotechnology 7
- Surgery 118
Countries citing papers authored by Michael P. Chen
This map shows the geographic impact of Michael P. Chen'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 Michael P. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael P. Chen more than expected).
Fields of papers citing papers by Michael P. Chen
This network shows the impact of papers produced by Michael P. Chen. 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 Michael P. Chen. The network helps show where Michael P. Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael P. Chen, 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 | 2014 | 128 | |
| 2 | 2016 | 125 | |
| 3 | 2017 | 119 | |
| 4 | 2015 | 87 | |
| 5 | 2012 | 52 | |
| 6 | 2013 | 40 | |
| 7 | 2011 | 24 | |
| 8 | 2007 | 22 | |
| 9 | 2020 | 14 | |
| 10 | 2023 | 8 | |
| 11 | 2012 | 3 | |
| 12 | 2012 | 2 | |
| 13 | 2023 | 2 |
About Michael P. Chen
Michael P. Chen is a scholar working on Infectious Diseases, Epidemiology, Hepatology, Health and Global and Planetary Change, having authored 13 papers that have together received 626 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (10 papers), Vaccine Coverage and Hesitancy (1 paper), Influenza Virus Research Studies (1 paper), Data-Driven Disease Surveillance (1 paper), Primary Care and Health Outcomes (1 paper), Colorectal Cancer Screening and Detection (1 paper), Hepatitis B Virus Studies (1 paper) and Hydrology and Drought Analysis (1 paper). The work is most often cited by research in Infectious Diseases (503 citations), Epidemiology (239 citations), Family Practice (7 citations), Applied Microbiology and Biotechnology (7 citations) and Surgery (118 citations). Michael P. Chen has collaborated with scholars based in United States, Spain and Kenya. Frequent co-authors include Nigel A. Scott, Margarita Elsa Villarino, José María Miró, Carla A. Winston, Richard E. Chaisson, Rosa M Infante, Timothy R. Sterling, Fred M. Gordin, Constance Ann Benson and Guilherme Amaral Calvet. Their work appears in journals such as Clinical Infectious Diseases, BMC Public Health, Statistics in Medicine, The Journal of Infectious Diseases and Annals of Internal Medicine.
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.