Jonathan S. Jay
Impact in
- Health top 2%
- Gun Ownership and Violence Research
- Health disparities and outcomes
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
Papers in
- Health 21
- Gun Ownership and Violence Research 18
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- Suicide and Self-Harm Studies 5
- Co-authors
- Jacob H. Bor (2 shared papers)Sarah Ketchen Lipson (2 shared papers)Julia Raifman (2 shared papers)David K. Jones (2 shared papers)Sandro Galea (2 shared papers)Elaine Okanyene Nsoesie (2 shared papers)Marc A. Zimmerman (3 shared papers)Michelle C. Kondo (4 shared papers)
- Journals
- JAMA Network Open (8 papers)Journal of Urban Health (3 papers)PLoS Medicine (2 papers)American Journal of Epidemiology (2 papers)Injury Prevention (2 papers)
- Partner nations
- United StatesUnited KingdomNigeria
In The Last Decade
Jonathan S. Jay
49 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 110
- Health 361
- Modeling and Simulation 130
- Transportation 107
- Clinical Psychology 205
- Health, Toxicology and Mutagenesis 118
Countries citing papers authored by Jonathan S. Jay
This map shows the geographic impact of Jonathan S. Jay'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 Jonathan S. Jay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan S. Jay more than expected).
Fields of papers citing papers by Jonathan S. Jay
This network shows the impact of papers produced by Jonathan S. Jay. 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 Jonathan S. Jay. The network helps show where Jonathan S. Jay may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan S. Jay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 245 | |
| 2 | 2014 | 101 | |
| 3 | 2019 | 85 | |
| 4 | 2020 | 72 | |
| 5 | 2022 | 53 | |
| 6 | 2014 | 44 | |
| 7 | 2022 | 44 | |
| 8 | 2019 | 43 | |
| 9 | 2013 | 43 | |
| 10 | 2022 | 41 | |
| 11 | 2020 | 39 | |
| 12 | 1996 | 39 | |
| 13 | 2002 | 35 | |
| 14 | 2022 | 35 | |
| 15 | 2013 | 30 | |
| 16 | 2023 | 28 | |
| 17 | 2022 | 25 | |
| 18 | 2022 | 24 | |
| 19 | 2019 | 21 | |
| 20 | 2012 | 21 |
About Jonathan S. Jay
Jonathan S. Jay is a scholar working on Health, Clinical Psychology, General Health Professions, Finance and Transportation, having authored 54 papers that have together received 1.3k indexed citations. Recurring topics across this work include Gun Ownership and Violence Research (18 papers), Suicide and Self-Harm Studies (5 papers), HIV/AIDS Research and Interventions (4 papers), Healthcare Systems and Reforms (4 papers), Crime Patterns and Interventions (4 papers), Injury Epidemiology and Prevention (4 papers), Global Maternal and Child Health (3 papers) and HIV, Drug Use, Sexual Risk (3 papers). The work is most often cited by research in Health (361 citations), Modeling and Simulation (130 citations), Transportation (107 citations), Clinical Psychology (205 citations) and Health, Toxicology and Mutagenesis (118 citations). Jonathan S. Jay has collaborated with scholars based in United States, United Kingdom and Nigeria. Frequent co-authors include Jacob H. Bor, Sarah Ketchen Lipson, Julia Raifman, David K. Jones, Sandro Galea, Elaine Okanyene Nsoesie, Marc A. Zimmerman, Michelle C. Kondo, David Hemenway and Jonathan D. Quick. Their work appears in journals such as JAMA Network Open, Journal of Urban Health, PLoS Medicine, American Journal of Epidemiology and Injury Prevention.
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.