Phil Lowenthal
Impact in
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- Tuberculosis Research and Epidemiology
- COVID-19 Clinical Research Studies
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- COVID-19 epidemiological studies
Papers in
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- Tuberculosis Research and Epidemiology 10
- Surgery 1
- Infectious Diseases and Tuberculosis 1
- Co-authors
- Jennifer Flood (7 shared papers)Pennan M. Barry (7 shared papers)Janice Westenhouse (2 shared papers)James Watt (3 shared papers)Drew L. Posey (1 shared paper)Seema Jain (2 shared papers)N. Sarita Shah (1 shared paper)Gisela Schecter (1 shared paper)
- Journals
- The International Journal of Tuberculosis and Lung Disease (2 papers)Clinical Infectious Diseases (1 paper)JAMA Network Open (1 paper)PEDIATRICS (1 paper)The Pediatric Infectious Disease Journal (1 paper)
- Partner nations
- United StatesIsraelChina
In The Last Decade
Phil Lowenthal
11 papers receiving 120 citations
Peers
Comparison fields: 5 of 35
- Infectious Diseases 92
- Modeling and Simulation 8
- Epidemiology 41
- Surgery 27
- Health Information Management 2
Countries citing papers authored by Phil Lowenthal
This map shows the geographic impact of Phil Lowenthal'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 Phil Lowenthal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phil Lowenthal more than expected).
Fields of papers citing papers by Phil Lowenthal
This network shows the impact of papers produced by Phil Lowenthal. 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 Phil Lowenthal. The network helps show where Phil Lowenthal may publish in the future.
Co-authors
The 25 scholars most cited alongside Phil Lowenthal, 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 | 2011 | 37 | |
| 2 | 2021 | 15 | |
| 3 | 2015 | 14 | |
| 4 | 2022 | 13 | |
| 5 | 2020 | 13 | |
| 6 | 2018 | 12 | |
| 7 | 2021 | 9 | |
| 8 | 2018 | 5 | |
| 9 | 2020 | 4 | |
| 10 | 2018 | 2 | |
| 11 | 2015 | 1 |
About Phil Lowenthal
Phil Lowenthal is a scholar working on Infectious Diseases, Surgery, Health, Clinical Psychology and Epidemiology, having authored 11 papers that have together received 125 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (10 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Vaccine Coverage and Hesitancy (1 paper), Mycobacterium research and diagnosis (1 paper), COVID-19 epidemiological studies (1 paper), Global Health Workforce Issues (1 paper), Infectious Diseases and Tuberculosis (1 paper) and COVID-19 and Mental Health (1 paper). The work is most often cited by research in Infectious Diseases (92 citations), Modeling and Simulation (8 citations), Epidemiology (41 citations), Surgery (27 citations) and Health Information Management (2 citations). Phil Lowenthal has collaborated with scholars based in United States, Israel and China. Frequent co-authors include Jennifer Flood, Pennan M. Barry, Janice Westenhouse, James Watt, Drew L. Posey, Seema Jain, N. Sarita Shah, Gisela Schecter, Shereen Katrak and Sundari Mase. Their work appears in journals such as The International Journal of Tuberculosis and Lung Disease, Clinical Infectious Diseases, JAMA Network Open, PEDIATRICS and The Pediatric Infectious Disease Journal.
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.