Arriel Benis
Impact in
- Physiology top 10%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
- Epidemiology top 10%
- Adipokines, Inflammation, and Metabolic Diseases
Papers in
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- Biomedical Text Mining and Ontologies 4
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- COVID-19 Digital Contact Tracing 2
- Co-authors
- Jean‐Daniel Zucker (4 shared papers)Karine Clément (4 shared papers)Dominique Langin (3 shared papers)Véronique Pelloux (3 shared papers)Nathalie Viguerie (3 shared papers)Christine Poitou (3 shared papers)Shai Ashkenazi (5 shared papers)Raffaella Cancello (2 shared papers)
- Journals
- Yearbook of Medical Informatics (4 papers)Journal of Medical Internet Research (3 papers)The FASEB Journal (2 papers)Vaccines (2 papers)JMIR Medical Education (2 papers)
- Partner nations
- IsraelFranceUnited States
In The Last Decade
Arriel Benis
54 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 141
- Physiology 278
- Epidemiology 326
- Health 79
- Health Informatics 12
- Cancer Research 98
Countries citing papers authored by Arriel Benis
This map shows the geographic impact of Arriel Benis'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 Arriel Benis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arriel Benis more than expected).
Fields of papers citing papers by Arriel Benis
This network shows the impact of papers produced by Arriel Benis. 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 Arriel Benis. The network helps show where Arriel Benis may publish in the future.
Co-authors
The 25 scholars most cited alongside Arriel Benis, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 493 | |
| 2 | 2005 | 124 | |
| 3 | 2021 | 94 | |
| 4 | 2021 | 63 | |
| 5 | 2016 | 53 | |
| 6 | 2021 | 43 | |
| 7 | 2004 | 39 | |
| 8 | 2003 | 32 | |
| 9 | 2016 | 28 | |
| 10 | 2021 | 22 | |
| 11 | 2021 | 20 | |
| 12 | 2019 | 19 | |
| 13 | 2021 | 14 | |
| 14 | 2018 | 14 | |
| 15 | 2020 | 13 | |
| 16 | 2023 | 13 | |
| 17 | 2022 | 12 | |
| 18 | 2019 | 12 | |
| 19 | 2022 | 12 | |
| 20 | 2022 | 11 |
About Arriel Benis
Arriel Benis is a scholar working on Molecular Biology, Information Systems, Epidemiology, Artificial Intelligence and Public Health, Environmental and Occupational Health, having authored 58 papers that have together received 1.3k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (4 papers), Misinformation and Its Impacts (4 papers), Biomedical Text Mining and Ontologies (4 papers), Biomedical and Engineering Education (3 papers), Zoonotic diseases and public health (2 papers), COVID-19 Digital Contact Tracing (2 papers), Electronic Health Records Systems (2 papers) and Non-Invasive Vital Sign Monitoring (2 papers). The work is most often cited by research in Physiology (278 citations), Epidemiology (326 citations), Health (79 citations), Health Informatics (12 citations) and Cancer Research (98 citations). Arriel Benis has collaborated with scholars based in Israel, France and United States. Frequent co-authors include Jean‐Daniel Zucker, Karine Clément, Dominique Langin, Véronique Pelloux, Nathalie Viguerie, Christine Poitou, Shai Ashkenazi, Raffaella Cancello, Arnaud Basdevant and Oscar Tamburis. Their work appears in journals such as Yearbook of Medical Informatics, Journal of Medical Internet Research, The FASEB Journal, Vaccines and JMIR Medical Education.
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.