Amit Huppert

77 papers and 5.3k indexed citations i.

About

Amit Huppert is a scholar working on Infectious Diseases, Modeling and Simulation and Health. According to data from OpenAlex, Amit Huppert has authored 77 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Infectious Diseases, 23 papers in Modeling and Simulation and 21 papers in Health. Recurrent topics in Amit Huppert’s work include SARS-CoV-2 and COVID-19 Research (34 papers), COVID-19 epidemiological studies (23 papers) and Vaccine Coverage and Hesitancy (21 papers). Amit Huppert is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (34 papers), COVID-19 epidemiological studies (23 papers) and Vaccine Coverage and Hesitancy (21 papers). Amit Huppert collaborates with scholars based in Israel, United States and Australia. Amit Huppert's co-authors include Lewi Stone, Bernd Blasius, Yair Goldberg, Laurence S. Freedman, Micha Mandel, Nachman Ash, Sharon Alroy‐Preis, Omri Bodenheimer, Yinon M. Bar‐On and Ron Milo and has published in prestigious journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Co-authorship network of co-authors of Amit Huppert i

Fields of papers citing papers by Amit Huppert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amit Huppert. 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 Amit Huppert. The network helps show where Amit Huppert may publish in the future.

Countries citing papers authored by Amit Huppert

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025