Arriel Benis

54 papers and 1.1k indexed citations i.

About

Arriel Benis is a scholar working on Molecular Biology, Epidemiology and Artificial Intelligence. According to data from OpenAlex, Arriel Benis has authored 54 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Epidemiology and 8 papers in Artificial Intelligence. Recurrent topics in Arriel Benis’s work include Biomedical Text Mining and Ontologies (6 papers), Misinformation and Its Impacts (6 papers) and Vaccine Coverage and Hesitancy (5 papers). Arriel Benis is often cited by papers focused on Biomedical Text Mining and Ontologies (6 papers), Misinformation and Its Impacts (6 papers) and Vaccine Coverage and Hesitancy (5 papers). Arriel Benis collaborates with scholars based in Israel, United States and France. Arriel Benis's co-authors include Jean‐Daniel Zucker, Karine Clément, Christine Poitou, Véronique Pelloux, Dominique Langin, Nathalie Viguerie, Arnaud Basdevant, Raffaella Cancello, Shai Ashkenazi and Gregory S. Barsh and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and The FASEB Journal.

In The Last Decade

Co-authorship network of co-authors of Arriel Benis i

Fields of papers citing papers by Arriel Benis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Arriel Benis

Since Specialization
Citations

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).

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.

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2025