Gad Getz
Impact in
- Cancer Research top 0.01%
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 0.05%
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Circular RNAs in diseases
Papers in
- Cancer Research 108
- Cancer Genomics and Diagnostics 96
- Genetics 36
- Chronic Lymphocytic Leukemia Research 27
- Co-authors
- Matthew MeyersonTodd R. GolubScott L. CarterMichael S. LawrenceRameen BeroukhimCraig H. MermelStacey GabrielBenjamin L. Ebert
- Journals
- Blood (39 papers)Cancer Research (29 papers)Journal of Clinical Oncology (15 papers)Bioinformatics (11 papers)Nature Genetics (9 papers)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Gad Getz
214 papers receiving 42.1k citations
Hit Papers
Peers
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
Countries citing papers authored by Gad Getz
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 27 | |
| 6 | 2022 | 31 | |
| 7 | 2021 | 45 | |
| 8 | 2021 | 47 | |
| 9 | 2020 | 178 | |
| 10 | 2020 | 52 | |
| 11 | 2019 | 18 | |
| 12 | RNA sequence analysis reveals macroscopic somatic clonal expansion across normal tissues Hit paper breakdown → | 2019 | 310 |
| 13 | 2018 | 181 | |
| 14 | 2017 | 53 | |
| 15 | 2016 | 36 | |
| 16 | 2016 | 62 | |
| 17 | 2016 | 85 | |
| 18 | 2013 | 90 | |
| 19 | 2013 | 134 | |
| 20 | 2008 | 215 |
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.