Yael Ungar

9 papers and 464 indexed citations i.

About

Yael Ungar is a scholar working on Nutrition and Dietetics, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Yael Ungar has authored 9 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Nutrition and Dietetics, 3 papers in Genetics and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Yael Ungar’s work include Food composition and properties (3 papers), Phytoestrogen effects and research (3 papers) and Fatty Acid Research and Health (2 papers). Yael Ungar is often cited by papers focused on Food composition and properties (3 papers), Phytoestrogen effects and research (3 papers) and Fatty Acid Research and Health (2 papers). Yael Ungar collaborates with scholars based in Israel and Italy. Yael Ungar's co-authors include Eyal Shimoni, Oluwatooyin F. Osundahunsi, Ellina Kesselman, Avi Shpigelman, Uri Lesmes, Carmit Shani Levi, Esther G. Meyron‐Holtz, Shlomit David, Francis B. Mimouni and Shaul Dollberg and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, LWT and Molecular Nutrition & Food Research.

In The Last Decade

Co-authorship network of co-authors of Yael Ungar i

Fields of papers citing papers by Yael Ungar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yael Ungar

Since Specialization
Citations

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