Avri Ben‐Ze'ev

18.2k citations
147 papers · 15.1k indexed · 2 hit papers · h-index 65

Impact in

Papers in

    • Cellular Mechanics and Interactions 33
    • Skin and Cellular Biology Research 24
    • Hippo pathway signaling and YAP/TAZ 16
    • Cell Adhesion Molecules Research 13

Avri Ben‐Ze'ev

146 papers receiving 14.7k citations

Hit Papers

The cyclin D1 gene is a target of the β-catenin/LEF-1 pathway 1999 · 1.9k citations
1.9k198820262000201350010001.5k

Peers

Avri Ben‐Ze'ev
Comparison fields: 5 of 145
  • Cell Biology 4.3k
  • Immunology and Allergy 1.6k
  • Molecular Biology 10.1k
  • Oncology 3.4k
  • Cancer Research 1.4k
Replace Frans van Roy with:
Frans van Roy Belgium
Arie Abo United States
Barry M. Gumbiner United States
Daniel Louvard France
Gregory D. Plowman United States
Richard K. Assoian United States
Sara A. Courtneidge United States
Eileen D. Adamson United States
Thomas F. Deuel United States
Rolf Kemler Germany
Avri Ben‐Ze'ev relative to Frans van Roy Belgium Frans van Roy's profile →
Citations per field
00.5×1.5×
Frans van Roy · 1×
Citations per year

Countries citing papers authored by Avri Ben‐Ze'ev

Since Specialization
Citations

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

Fields of papers citing papers by Avri Ben‐Ze'ev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Avri Ben‐Ze'ev. 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 Avri Ben‐Ze'ev. The network helps show where Avri Ben‐Ze'ev may publish in the future.

Co-authors

The 25 scholars most cited alongside Avri Ben‐Ze'ev, 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 Avri Ben‐Ze'ev Line = papers co-authored together Avri Ben‐Ze'ev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 201614
3 201546
4 201086
5 2009108
6 200877
7 2007167
8 2007237
9 200597
10 200468
11 200482
12 2003409
13 2003131
14 200233
15 2002420
16 200291
17 1998292
18 199029
19 198921
20 198420

About Avri Ben‐Ze'ev

Avri Ben‐Ze'ev is a scholar working on Cell Biology, Immunology and Allergy, Molecular Biology, Oncology and Aging, having authored 147 papers that have together received 15.1k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (58 papers), Cancer-related gene regulation (33 papers), Cellular Mechanics and Interactions (33 papers), Skin and Cellular Biology Research (24 papers), Hippo pathway signaling and YAP/TAZ (16 papers), Cancer Cells and Metastasis (15 papers), Cell Adhesion Molecules Research (13 papers) and Cancer-related Molecular Pathways (11 papers). The work is most often cited by research in Cell Biology (4.3k citations), Immunology and Allergy (1.6k citations), Molecular Biology (10.1k citations), Oncology (3.4k citations) and Cancer Research (1.4k citations). Avri Ben‐Ze'ev has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Jacob Zhurinsky, Michael Shtutman, Inbal Simcha, Benjamin Geiger, Nancy Gavert, Maralice Conacci‐Sorrell, Sheldon Penman, Stephen R. Farmer, Richard G. Pestell and Chris Albanese. Their work appears in journals such as Journal of Cell Science, The Journal of Cell Biology, Molecular and Cellular Biology, Experimental Cell Research and Cell.

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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