Avi Ashkenazi

41.9k citations
200 papers · 33.2k indexed · 15 hit papers · h-index 80

Avi Ashkenazi

198 papers receiving 32.5k citations

Hit Papers

From basic apoptos...667198720262000201310002.0k3.0k4.0k

Peers

Avi Ashkenazi
Comparison fields: 5 of 161
  • Immunology 9.3k
  • Cancer Research 5.7k
  • Molecular Biology 23.8k
  • Oncology 6.0k
  • Cell Biology 2.6k
Replace Gérard I. Evan with:
Gérard I. Evan United Kingdom
Séamus J. Martin Ireland
Guy S. Salvesen United States
Paul B. Fisher United States
Emad S. Alnemri United States
Jiahuai Han China
Erwin F. Wagner Austria
Suzanne Cory Australia
A H Wyllie United Kingdom
Klaus‐Michael Debatin Germany
Avi Ashkenazi relative to Gérard I. Evan United Kingdom Gérard I. Evan's profile →
Citations per field
00.5×1.6×
Gérard I. Evan · 1×
Citations per year

Countries citing papers authored by Avi Ashkenazi

Since Specialization
Citations

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

Fields of papers citing papers by Avi Ashkenazi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 202429
3 20247
4 20235
5 202228
6 202240
7 202126
8 202141
9 202030
10 202088
11 20156
12 201420
13
Opposing unfolded-protein-response signals converge on death receptor 5 to control apoptosisbreakdown →
2014447
14 201272
15 201033
16 2008347
17 2001167
18
Antibody fusion proteins
199930
19 1996119
20 199535

About Avi Ashkenazi

Avi Ashkenazi is a scholar working on Immunology, Psychiatry and Mental health and Cell Biology, having authored 200 papers that have together received 33.2k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (65 papers), Migraine and Headache Studies (41 papers), Sympathectomy and Hyperhidrosis Treatments (25 papers), Phagocytosis and Immune Regulation (21 papers), Trigeminal Neuralgia and Treatments (20 papers), RNA Interference and Gene Delivery (19 papers), Endoplasmic Reticulum Stress and Disease (18 papers) and NF-κB Signaling Pathways (18 papers). The work is most often cited by research in Immunology (9.3k citations), Cancer Research (5.7k citations) and Molecular Biology (23.8k citations). Avi Ashkenazi has collaborated with scholars based in United States, France and Israel. Frequent co-authors include Vishva M. Dixit, Scot A. Marsters, Robert Pitti, David A. Lawrence, Daniel J. Capon, J. Ramachandran, Heidi Leblanc, John Winslow, Eugene Varfolomeev and Christopher J. Donahue. Their work appears in journals such as Nature, Science 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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