J.P. Sevilla
Impact in
- Health top 10%
- Vaccine Coverage and Hesitancy
-
- Antibiotic Use and Resistance
Papers in
-
- Pneumonia and Respiratory Infections 5
- Influenza Virus Research Studies 3
- Respiratory viral infections research 2
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- Global Health Care Issues 6
- Co-authors
- David E. Bloom (12 shared papers)Victoria Y. Fan (1 shared paper)Marc Lipsitch (1 shared paper)Daniel Cadarette (2 shared papers)Mark Jit (1 shared paper)Larry Rosenberg (1 shared paper)Reiko Sato (3 shared papers)James Trussell (1 shared paper)
- Journals
- Journal of Medical Economics (3 papers)Human Vaccines & Immunotherapeutics (2 papers)Value in Health (2 papers)Cost Effectiveness and Resource Allocation (1 paper)Science Translational Medicine (1 paper)
- Partner nations
- United StatesBelgiumUnited Kingdom
In The Last Decade
J.P. Sevilla
18 papers receiving 196 citations
Peers
Comparison fields: 5 of 61
- Health 80
- Applied Microbiology and Biotechnology 17
- Modeling and Simulation 17
- Microbiology 17
- Molecular Medicine 12
Countries citing papers authored by J.P. Sevilla
This map shows the geographic impact of J.P. Sevilla'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 J.P. Sevilla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.P. Sevilla more than expected).
Fields of papers citing papers by J.P. Sevilla
This network shows the impact of papers produced by J.P. Sevilla. 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 J.P. Sevilla. The network helps show where J.P. Sevilla may publish in the future.
Co-authors
The 25 scholars most cited alongside J.P. Sevilla, 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 | 2018 | 69 | |
| 2 | 2018 | 50 | |
| 3 | 2020 | 17 | |
| 4 | 2014 | 16 | |
| 5 | 2020 | 14 | |
| 6 | Demographic transition and economic opportunity: the case of Jordan. | 2001 | 9 |
| 7 | 2019 | 5 | |
| 8 | 2022 | 5 | |
| 9 | 2023 | 5 | |
| 10 | 2022 | 4 | |
| 11 | 2017 | 3 | |
| 12 | 2019 | 3 | |
| 13 | 2022 | 3 | |
| 14 | 2023 | 2 | |
| 15 | Value Pricing by Developing Countries and Its Impact on Allocative and Dynamic Efficiency in the Global Pharmaceutical Industry | 2015 | 1 |
| 16 | 2024 | 1 | |
| 17 | Epidemias y economía: las enfermedades infecciosas nuevas y recurrentes pueden tener amplias repercusiones económicas | 2018 | 1 |
| 18 | 2018 | 1 | |
| 19 | 2024 | 0 |
About J.P. Sevilla
J.P. Sevilla is a scholar working on Epidemiology, General Health Professions, Economics and Econometrics, Health and Microbiology, having authored 19 papers that have together received 209 indexed citations. Recurring topics across this work include Global Health Care Issues (6 papers), Pneumonia and Respiratory Infections (5 papers), Vaccine Coverage and Hesitancy (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Influenza Virus Research Studies (3 papers), COVID-19 epidemiological studies (3 papers), Bacterial Infections and Vaccines (3 papers) and Respiratory viral infections research (2 papers). The work is most often cited by research in Health (80 citations), Applied Microbiology and Biotechnology (17 citations), Modeling and Simulation (17 citations), Microbiology (17 citations) and Molecular Medicine (12 citations). J.P. Sevilla has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include David E. Bloom, Victoria Y. Fan, Marc Lipsitch, Daniel Cadarette, Mark Jit, Larry Rosenberg, Reiko Sato, James Trussell, Salal Humair and Cosmina Hogea. Their work appears in journals such as Journal of Medical Economics, Human Vaccines & Immunotherapeutics, Value in Health, Cost Effectiveness and Resource Allocation and Science Translational 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.