Yael Ungar

11 total papers · 598 total citations
9 papers, 485 citations indexed

About

Yael Ungar is a scholar working on Nutrition and Dietetics, Pathology and Forensic Medicine and Genetics. According to data from OpenAlex, Yael Ungar has authored 9 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Nutrition and Dietetics, 3 papers in Pathology and Forensic Medicine and 3 papers in Genetics. Recurrent topics in Yael Ungar's work include Phytoestrogen effects and research (3 papers), Food composition and properties (3 papers) and Fatty Acid Research and Health (2 papers). Yael Ungar is often cited by papers focused on Phytoestrogen effects and research (3 papers), Food composition and properties (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, Carmit Shani Levi, Uri Lesmes, 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

Yael Ungar

9 papers receiving 468 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Yael Ungar	211	188	126	76	70	9	485
Guixing Ren	187 0.9×	120 0.6×	54 0.4×	161 2.1×	113 1.6×	12	442
Dorothy E. Fenwick	100 0.5×	129 0.7×	118 0.9×	139 1.8×	163 2.3×	8	442
Paul‐André Finot	99 0.5×	130 0.7×	39 0.3×	61 0.8×	152 2.2×	15	509
A.S. Gad	230 1.1×	127 0.7×	33 0.3×	121 1.6×	119 1.7×	12	490
Akira Oh-hashi	101 0.5×	215 1.1×	69 0.5×	81 1.1×	124 1.8×	11	426
R. Kumar	281 1.3×	154 0.8×	56 0.4×	171 2.3×	95 1.4×	10	532
Chatchawan Chotimarkorn	125 0.6×	97 0.5×	43 0.3×	98 1.3×	107 1.5×	16	469
M. V. Rao	245 1.2×	290 1.5×	39 0.3×	243 3.2×	57 0.8×	10	541
Yun Ruan	120 0.6×	64 0.3×	47 0.4×	220 2.9×	141 2.0×	14	449
Kazuhiro Nara	152 0.7×	70 0.4×	48 0.4×	222 2.9×	81 1.2×	18	423

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).

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.

Co-authorship network of co-authors of Yael Ungar

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

All Works

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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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