Nir Eyal
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- HIV/AIDS Research and Interventions
- Viral Infections and Outbreaks Research
- Modeling and Simulation top 2%
Papers in
-
- HIV/AIDS Research and Interventions 19
- SARS-CoV-2 and COVID-19 Research 16
-
- Ethics in medical practice 14
- Healthcare cost, quality, practices 12
- Co-authors
- Marc Lipsitch (12 shared papers)Peter G. Smith (2 shared papers)Samia Hurst (7 shared papers)Daniel Wikler (13 shared papers)Till Bärnighausen (8 shared papers)Steven G. Deeks (3 shared papers)Jeffrey I. Campbell (6 shared papers)Jessica E. Haberer (6 shared papers)
- Journals
- Journal of Medical Ethics (9 papers)The Journal of Infectious Diseases (6 papers)Public Health Ethics (5 papers)AIDS and Behavior (4 papers)Vaccine (3 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Nir Eyal
118 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 132
- Infectious Diseases 399
- Modeling and Simulation 97
- Health 160
- General Health Professions 378
- Virology 70
Countries citing papers authored by Nir Eyal
This map shows the geographic impact of Nir Eyal'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 Nir Eyal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nir Eyal more than expected).
Fields of papers citing papers by Nir Eyal
This network shows the impact of papers produced by Nir Eyal. 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 Nir Eyal. The network helps show where Nir Eyal may publish in the future.
Co-authors
The 25 scholars most cited alongside Nir Eyal, 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 128 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 172 | |
| 2 | 2017 | 88 | |
| 3 | 2018 | 71 | |
| 4 | 2012 | 54 | |
| 5 | 2013 | 53 | |
| 6 | 2018 | 50 | |
| 7 | 2015 | 48 | |
| 8 | 2008 | 39 | |
| 9 | 2007 | 37 | |
| 10 | 2005 | 34 | |
| 11 | 2012 | 30 | |
| 12 | 2013 | 28 | |
| 13 | 2015 | 26 | |
| 14 | 2014 | 26 | |
| 15 | 2010 | 25 | |
| 16 | 2018 | 25 | |
| 17 | 2020 | 23 | |
| 18 | 2017 | 23 | |
| 19 | 2013 | 21 | |
| 20 | 2016 | 21 |
About Nir Eyal
Nir Eyal is a scholar working on Infectious Diseases, General Health Professions, Public Health, Environmental and Occupational Health, Health and Economics and Econometrics, having authored 128 papers that have together received 1.5k indexed citations. Recurring topics across this work include Ethics in Clinical Research (24 papers), HIV/AIDS Research and Interventions (19 papers), Vaccine Coverage and Hesitancy (18 papers), SARS-CoV-2 and COVID-19 Research (16 papers), Ethics in medical practice (14 papers), Biomedical Ethics and Regulation (12 papers), Healthcare cost, quality, practices (12 papers) and Health Systems, Economic Evaluations, Quality of Life (11 papers). The work is most often cited by research in Infectious Diseases (399 citations), Modeling and Simulation (97 citations), Health (160 citations), General Health Professions (378 citations) and Virology (70 citations). Nir Eyal has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Marc Lipsitch, Peter G. Smith, Samia Hurst, Daniel Wikler, Till Bärnighausen, Steven G. Deeks, Jeffrey I. Campbell, Jessica E. Haberer, Angella Musiimenta and Daniel R. Kuritzkes. Their work appears in journals such as Journal of Medical Ethics, The Journal of Infectious Diseases, Public Health Ethics, AIDS and Behavior and Vaccine.
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.