Yuval Yung

51 papers receiving 1.8k citations

Peers

Yuval Yung
Comparison fields: 5 of 109
  • Reproductive Medicine 486
  • Public Health, Environmental and Occupational Health 516
  • Cell Biology 231
  • Molecular Biology 963
  • Cancer Research 206
Replace Naoko Kimura with:
Naoko Kimura Japan
Shafiq A. Khan United States
Montserrat Barragán Spain
Xiangyuan Wang United States
Toshifumi Takahashi Japan
J. Dinny Graham Australia
Carmel Hensey Ireland
Katsuhiko Takahashi Japan
Lídia Hernandez United States
Shoshana Paglin United States
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Citations per field
00.5×1.7×
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Citations per year

Countries citing papers authored by Yuval Yung

Since Specialization
Citations

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

Fields of papers citing papers by Yuval Yung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yuval Yung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yuval Yung Line = papers co-authored together Yuval Yung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001314
2 1997121
3 2002112
4 201372
5 201465
6 201465
7 201663
8 200761
9 201254
10 200453
11 200752
12 201646
13 201044
14 201242
15 200142
16 200041
17 200740
18 201438
19 202237
20
Protein tyrosine phosphatase epsilon inhibits signaling by mitogen-activated protein kinases.
200337

About Yuval Yung

Yuval Yung is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Reproductive Medicine, Oncology and Immunology, having authored 53 papers that have together received 1.9k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (28 papers), Ovarian function and disorders (15 papers), Reproductive System and Pregnancy (9 papers), Cancer-related Molecular Pathways (7 papers), Melanoma and MAPK Pathways (6 papers), Sperm and Testicular Function (6 papers), Ovarian cancer diagnosis and treatment (5 papers) and Protein Kinase Regulation and GTPase Signaling (5 papers). The work is most often cited by research in Reproductive Medicine (486 citations), Public Health, Environmental and Occupational Health (516 citations), Cell Biology (231 citations), Molecular Biology (963 citations) and Cancer Research (206 citations). Yuval Yung has collaborated with scholars based in Israel, United States and Italy. Frequent co-authors include Ariel Hourvitz, Rony Seger, Ettie Maman, Richard K. Assoian, Gil Yerushalmi, Andrei V. Gudkov, Khandan Keyomarsi, Yosef Yarden, Sarah Bacus and Michael Lowe. Their work appears in journals such as Journal of Assisted Reproduction and Genetics, Fertility and Sterility, Journal of Ovarian Research, Molecular Human Reproduction and Reproductive Biology and Endocrinology.

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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