Gad Getz

351.4k citations
225 papers · 42.6k indexed · 21 hit papers · h-index 74

Impact in

  • Cancer Research top 0.01%
    • Cancer Genomics and Diagnostics
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation
    • Circular RNAs in diseases

Papers in

Gad Getz

214 papers receiving 42.1k citations

Hit Papers

CAR T cell killing requires the IFNγR pathway in solid but not liquid tumours 2022 · 225 citations
22520002026200820172.0k4.0k6.0k

Peers

Gad Getz
Comparison fields: 5 of 183
  • Cancer Research 18.7k
  • Molecular Biology 27.7k
  • Oncology 10.6k
  • Pulmonary and Respiratory Medicine 8.1k
  • Immunology 5.0k
Replace Nikolaus Schultz with:
Nikolaus Schultz United States
Massimo Loda United States
Michael R. Stratton United Kingdom
Matt van de Rijn United States
Victor E. Velculescu United States
Arul M. Chinnaiyan United States
William C. Hahn United States
P. Andrew Futreal United States
Robert S. Kerbel Canada
Matthew Meyerson United States
Gad Getz relative to Nikolaus Schultz United States Nikolaus Schultz's profile →
Citations per field
00.5×1.6×
Nikolaus Schultz · 1×
Citations per year

Countries citing papers authored by Gad Getz

Since Specialization
Citations

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

Fields of papers citing papers by Gad Getz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20245
3 20240
4 20242
5 202327
6 202231
7 202145
8 202147
9 2020178
10 202052
11 201918
12
RNA sequence analysis reveals macroscopic somatic clonal expansion across normal tissues
Hit paper breakdown →
2019310
13 2018181
14 201753
15 201636
16 201662
17 201685
18 201390
19 2013134
20 2008215

About Gad Getz

Gad Getz is a scholar working on Cancer Research, Genetics, Pathology and Forensic Medicine, Molecular Biology and Hematology, having authored 225 papers that have together received 42.6k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (96 papers), Chronic Lymphocytic Leukemia Research (27 papers), Genetic factors in colorectal cancer (23 papers), RNA modifications and cancer (19 papers), Bioinformatics and Genomic Networks (19 papers), Gene expression and cancer classification (17 papers), Epigenetics and DNA Methylation (17 papers) and Genomics and Phylogenetic Studies (16 papers). The work is most often cited by research in Cancer Research (18.7k citations), Molecular Biology (27.7k citations), Oncology (10.6k citations), Pulmonary and Respiratory Medicine (8.1k citations) and Immunology (5.0k citations). Gad Getz has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Matthew Meyerson, Todd R. Golub, Scott L. Carter, Michael S. Lawrence, Rameen Beroukhim, Craig H. Mermel, Stacey Gabriel, Benjamin L. Ebert, Catherine J. Wu and Eric A. Miska. Their work appears in journals such as Blood, Cancer Research, Journal of Clinical Oncology, Bioinformatics and Nature Genetics.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026