Or Zuk

36 papers and 8.6k indexed citations i.

About

Or Zuk is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Or Zuk has authored 36 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 9 papers in Artificial Intelligence and 5 papers in Genetics. Recurrent topics in Or Zuk’s work include Bayesian Methods and Mixture Models (7 papers), Bioinformatics and Genomic Networks (5 papers) and Gene expression and cancer classification (5 papers). Or Zuk is often cited by papers focused on Bayesian Methods and Mixture Models (7 papers), Bioinformatics and Genomic Networks (5 papers) and Gene expression and cancer classification (5 papers). Or Zuk collaborates with scholars based in Israel, United States and Italy. Or Zuk's co-authors include Eric S. Lander, Aviv Regev, Manuel Garber, Eliana Hechter, Shamil Sunyaev, Tyler Jacks, John L. Rinn, David M. Feldser, Ido Amit and Maite Huarte and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Co-authorship network of co-authors of Or Zuk i

Fields of papers citing papers by Or Zuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Or Zuk

Since Specialization
Citations

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