Yaniv Zohar

2.0k citations
62 papers · 1.3k indexed · h-index 20
  • Immunology top 5%
    • T-cell and B-cell Immunology 10
    • Immune Cell Function and Interaction 6
    • Immunotherapy and Immune Responses 6
  • Oncology top 5%
    • Chemokine receptors and signaling 5
  • Cell Biology top 10%
    • Proteoglycans and glycosaminoglycans research 8
  • Rheumatology top 10%
    • Ubiquitin and proteasome pathways 5
    • Glycosylation and Glycoproteins Research 5
    • Fibroblast Growth Factor Research 3

Yaniv Zohar

56 papers receiving 1.2k citations

Peers

Yaniv Zohar
Comparison fields: 5 of 92
  • Immunology 518
  • Oncology 472
  • Cell Biology 159
  • Cancer Research 102
  • Rheumatology 98
Replace Kazushige Sakaguchi with:
Kazushige Sakaguchi Japan
Kota Iwahori Japan
Alexander Rosendahl Sweden
Zoltán Jakus Hungary
Seong Hoe Park South Korea
Maciej Bogdan Maniecki Denmark
Jörn Gröne Germany
Yongzhong Liu China
Minghua Zhu United States
Carmen Marchiol France
Yaniv Zohar relative to Kazushige Sakaguchi Japan Kazushige Sakaguchi's profile →
Citations per field
00.5×4.2×
Kazushige Sakaguchi · 1×
Citations per year

Countries citing papers authored by Yaniv Zohar

Since Specialization
Citations

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

Fields of papers citing papers by Yaniv Zohar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Yaniv Zohar, 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 Yaniv Zohar Line = papers co-authored together Yaniv Zohar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20245
2 20241
3 20240
4 20244
5 20240
6 20241
7 20230
8 202319
9 202216
10 20228
11 202013
12 201825
13 201884
14 201716
15 201015
16 200924
17 2008144
18 200519
19 200480
20 200462

About Yaniv Zohar

Yaniv Zohar is a scholar working on Immunology, Oncology and Cell Biology, having authored 62 papers that have together received 1.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (10 papers), Proteoglycans and glycosaminoglycans research (8 papers), Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (6 papers), Ubiquitin and proteasome pathways (5 papers), Glycosylation and Glycoproteins Research (5 papers), Chemokine receptors and signaling (5 papers) and Fibroblast Growth Factor Research (3 papers). The work is most often cited by research in Immunology (518 citations), Oncology (472 citations) and Cell Biology (159 citations). Yaniv Zohar has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Gizi Wildbaum, Nathan Karin, Rachel Anunu, Gila Maor, Rostislav Novak, Yiftah Barsheshet, Israël Vlodavsky, Neta Ilan, Uri Barash and Andrew L. Salzman. Their work appears in journals such as The Journal of Immunology, International Journal of Cardiology, Journal of Cutaneous Pathology, Journal of Nuclear Medicine and Cells.

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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