Eva Gak

34 total papers · 1.4k total citations
29 papers, 1.0k citations indexed

About

Eva Gak is a scholar working on Genetics, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Eva Gak has authored 29 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 8 papers in Molecular Biology and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Eva Gak’s work include Genetics and Neurodevelopmental Disorders (10 papers), Autism Spectrum Disorder Research (7 papers) and Pharmacogenetics and Drug Metabolism (7 papers). Eva Gak is often cited by papers focused on Genetics and Neurodevelopmental Disorders (10 papers), Autism Spectrum Disorder Research (7 papers) and Pharmacogenetics and Drug Metabolism (7 papers). Eva Gak collaborates with scholars based in Israel, United States and Sweden. Eva Gak's co-authors include Manuela Vecsler, Ronen Loebstein, Hillel Halkin, Shlomo Almog, Daniel Kurnik, Gideon Rechavi, Bruria Ben Zeev, Ninette Amariglio, William G. Taylor and Andrew M. Chan and has published in prestigious journals such as Blood, PLoS ONE and Neurology.

Co-authorship network of co-authors of Eva Gak

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Gak. A scholar is included among the top collaborators of Eva Gak 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 Eva Gak. Eva Gak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Eva Gak

29 papers receiving 989 citations

Fields of papers citing papers by Eva Gak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eva Gak

Since Specialization
Citations

This map shows the geographic impact of Eva Gak'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 Eva Gak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Gak 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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2026