Patrick K. Moonan
- Infectious Diseases top 1%
- Tuberculosis Research and Epidemiology 80
- Epidemiology top 2%
- Mycobacterium research and diagnosis 40
- Pneumonia and Respiratory Infections 31
- Pneumocystis jirovecii pneumonia detection and treatment 18
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 11
- Surgery top 5%
- Infectious Diseases and Tuberculosis 20
- Diagnosis and treatment of tuberculosis 14
- Molecular Medicine top 10%
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- COVID-19 Digital Contact Tracing 10
- Co-authors
- John E. OeltmannLauren S. CowanStephen E. WeisJ. Steve KammererThomas R. NavinSmita GhoshPhilip LoBueEleanor S. Click
- Journals
- Emerging infectious diseases (16 papers)The International Journal of Tuberculosis and Lung Disease (10 papers)Clinical Infectious Diseases (9 papers)
- Partner nations
- United StatesIndiaUganda
In The Last Decade
Patrick K. Moonan
94 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 101
- Infectious Diseases 1.6k
- Epidemiology 1.4k
- Modeling and Simulation 99
- Surgery 645
- Molecular Medicine 38
Countries citing papers authored by Patrick K. Moonan
This map shows the geographic impact of Patrick K. Moonan'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 Patrick K. Moonan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick K. Moonan more than expected).
Fields of papers citing papers by Patrick K. Moonan
This network shows the impact of papers produced by Patrick K. Moonan. 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 Patrick K. Moonan. The network helps show where Patrick K. Moonan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Patrick K. Moonan, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 3 | |
| 4 | 2021 | 15 | |
| 5 | 2021 | 16 | |
| 6 | 2017 | 2 | |
| 7 | 2016 | 13 | |
| 8 | 2016 | 9 | |
| 9 | 2016 | 10 | |
| 10 | 2015 | 10 | |
| 11 | 2014 | 2 | |
| 12 | 2013 | 3 | |
| 13 | 2013 | 6 | |
| 14 | 2012 | 5 | |
| 15 | 2011 | 26 | |
| 16 | 2011 | 68 | |
| 17 | 2006 | 31 | |
| 18 | 2005 | 101 | |
| 19 | 2004 | 69 | |
| 20 | 2001 | 39 |
About Patrick K. Moonan
Patrick K. Moonan is a scholar working on Infectious Diseases, Modeling and Simulation and Epidemiology, having authored 98 papers that have together received 1.9k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (80 papers), Mycobacterium research and diagnosis (40 papers), Pneumonia and Respiratory Infections (31 papers), Infectious Diseases and Tuberculosis (20 papers), Pneumocystis jirovecii pneumonia detection and treatment (18 papers), Diagnosis and treatment of tuberculosis (14 papers), COVID-19 epidemiological studies (11 papers) and COVID-19 Digital Contact Tracing (10 papers). The work is most often cited by research in Infectious Diseases (1.6k citations), Epidemiology (1.4k citations) and Modeling and Simulation (99 citations). Patrick K. Moonan has collaborated with scholars based in United States, India and Uganda. Frequent co-authors include John E. Oeltmann, Lauren S. Cowan, Stephen E. Weis, J. Steve Kammerer, Thomas R. Navin, Smita Ghosh, Philip LoBue, Eleanor S. Click, Janice M. Pogoda and Carla A. Winston. Their work appears in journals such as Emerging infectious diseases, The International Journal of Tuberculosis and Lung Disease, Clinical Infectious Diseases, Public Health Action 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.