Ben Y. Reis

112 total papers · 9.7k total citations
71 papers, 5.9k citations indexed

About

Ben Y. Reis is a scholar working on Epidemiology, Molecular Biology and Clinical Psychology. According to data from OpenAlex, Ben Y. Reis has authored 71 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Epidemiology, 13 papers in Molecular Biology and 11 papers in Clinical Psychology. Recurrent topics in Ben Y. Reis's work include Data-Driven Disease Surveillance (19 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Suicide and Self-Harm Studies (8 papers). Ben Y. Reis is often cited by papers focused on Data-Driven Disease Surveillance (19 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Suicide and Self-Harm Studies (8 papers). Ben Y. Reis collaborates with scholars based in United States, Israel and Germany. Ben Y. Reis's co-authors include Kenneth D. Mandl, Noa Dagan, Ran D. Balicer, Noam Barda, Marc Lipsitch, Miguel A. Hernán, Eldad Kepten, John S. Brownstein, Isaac S. Kohane and Mark A. Katz and has published in prestigious journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Ben Y. Reis

70 papers receiving 5.7k citations

Hit Papers

BNT162b2 mRNA Covid-19 Va... 2021 2026 2022 2024 2021 2021 2021 2021 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ben Y. Reis 2.5k 1.2k 1.2k 801 639 71 5.9k
Malik Sallam 2.3k 0.9× 3.0k 2.4× 720 0.6× 976 1.2× 434 0.7× 141 6.4k
Paddy Farrington 2.4k 1.0× 1.6k 1.2× 3.7k 3.0× 780 1.0× 393 0.6× 147 8.9k
Nicholas P. Jewell 1.5k 0.6× 399 0.3× 866 0.7× 588 0.7× 548 0.9× 199 10.1k
Ran D. Balicer 3.4k 1.3× 1.4k 1.2× 1.3k 1.1× 779 1.0× 671 1.1× 258 8.7k
Harapan Harapan 2.5k 1.0× 1.2k 1.0× 626 0.5× 843 1.1× 624 1.0× 148 5.5k
Kumanan Wilson 2.6k 1.0× 2.0k 1.6× 2.3k 1.8× 319 0.4× 537 0.8× 305 9.6k
Hilda Razzaghi 1.2k 0.5× 1.0k 0.8× 1.3k 1.0× 470 0.6× 253 0.4× 65 4.8k
Ly‐Mee Yu 1.1k 0.5× 1.1k 0.9× 2.9k 2.3× 224 0.3× 411 0.6× 195 12.4k
Adi V. Gundlapalli 1.9k 0.8× 523 0.4× 960 0.8× 390 0.5× 510 0.8× 195 6.3k
Jamie Lopez Bernal 4.3k 1.7× 1.7k 1.4× 1.5k 1.2× 1.4k 1.8× 1.5k 2.3× 93 9.7k

Countries citing papers authored by Ben Y. Reis

Since Specialization
Citations

This map shows the geographic impact of Ben Y. Reis'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 Ben Y. Reis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Y. Reis more than expected).

Fields of papers citing papers by Ben Y. Reis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ben Y. Reis. 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 Ben Y. Reis. The network helps show where Ben Y. Reis may publish in the future.

Co-authorship network of co-authors of Ben Y. Reis

This figure shows the co-authorship network connecting the top 25 collaborators of Ben Y. Reis. A scholar is included among the top collaborators of Ben Y. Reis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ben Y. Reis. Ben Y. Reis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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