Tal Gonen

16 papers and 963 indexed citations i.

About

Tal Gonen is a scholar working on Infectious Diseases, Modeling and Simulation and Health. According to data from OpenAlex, Tal Gonen has authored 16 papers receiving a total of 963 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 4 papers in Modeling and Simulation and 3 papers in Health. Recurrent topics in Tal Gonen’s work include SARS-CoV-2 and COVID-19 Research (9 papers), COVID-19 Clinical Research Studies (5 papers) and COVID-19 epidemiological studies (4 papers). Tal Gonen is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (9 papers), COVID-19 Clinical Research Studies (5 papers) and COVID-19 epidemiological studies (4 papers). Tal Gonen collaborates with scholars based in Israel, United States and United Kingdom. Tal Gonen's co-authors include Gili Regev‐Yochay, Yaniv Lustig, Yitshak Kreiss, Sharon Amit, Victoria Indenbaum, Carmit Cohen, Carmit Rubin, Michal Mandelboim, Neta S. Zuckerman and E G Levin and has published in prestigious journals such as New England Journal of Medicine, Nature Communications and Nature Immunology.

In The Last Decade

Co-authorship network of co-authors of Tal Gonen i

Fields of papers citing papers by Tal Gonen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tal Gonen

Since Specialization
Citations

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