Samuel Berman
Impact in
- Genetics top 0.5%
- Glioma Diagnosis and Treatment
- Cancer Research top 1%
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Cancer Genomics and Diagnostics 5
- Breast Cancer Treatment Studies 2
- Genetics 4
- Glioma Diagnosis and Treatment 4
- Co-authors
- Fabiana Perna (3 shared papers)Michel Sadelain (3 shared papers)Cameron Brennan (4 shared papers)Rajesh Kumar Soni (2 shared papers)Justin Eyquem (2 shared papers)Mohamad Hamieh (2 shared papers)Jorge Mansilla‐Soto (2 shared papers)Ronald C. Hendrickson (2 shared papers)
- Journals
- Advanced Science (2 papers)Physical review. B. (2 papers)Cell (2 papers)Clinical Cancer Research (2 papers)PLoS ONE (1 paper)
- Partner nations
- United StatesIrelandGermany
In The Last Decade
Samuel Berman
23 papers receiving 5.1k citations
Samuel Berman's Hit Papers
Peers
Comparison fields: 5 of 112
- Genetics 2.1k
- Cancer Research 1.6k
- Oncology 1.1k
- Molecular Biology 2.2k
- Immunology 564
Countries citing papers authored by Samuel Berman
This map shows the geographic impact of Samuel Berman'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 Samuel Berman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Berman more than expected).
Fields of papers citing papers by Samuel Berman
This network shows the impact of papers produced by Samuel Berman. 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 Samuel Berman. The network helps show where Samuel Berman may publish in the future.
Co-authors
The 25 scholars most cited alongside Samuel Berman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Somatic Genomic Landscape of Glioblastoma Hit paper breakdown → | 2013 | 3977 |
| 2 | 2017 | 287 | |
| 3 | 2018 | 279 | |
| 4 | 2016 | 122 | |
| 5 | 2017 | 95 | |
| 6 | 2014 | 93 | |
| 7 | 2018 | 61 | |
| 8 | 2016 | 55 | |
| 9 | 2016 | 44 | |
| 10 | 2019 | 29 | |
| 11 | 2013 | 25 | |
| 12 | 2014 | 19 | |
| 13 | 2021 | 11 | |
| 14 | 2024 | 6 | |
| 15 | 2023 | 6 | |
| 16 | 2024 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 1985 | 3 | |
| 19 | 2016 | 2 | |
| 20 | 2012 | 2 |
About Samuel Berman
Samuel Berman is a scholar working on Cancer Research, Genetics, Pathology and Forensic Medicine, Materials Chemistry and Oncology, having authored 23 papers that have together received 5.1k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), Glioma Diagnosis and Treatment (4 papers), CAR-T cell therapy research (3 papers), Electronic and Structural Properties of Oxides (3 papers), Breast Lesions and Carcinomas (2 papers), Breast Cancer Treatment Studies (2 papers), 2D Materials and Applications (2 papers) and Cancer and Skin Lesions (2 papers). The work is most often cited by research in Genetics (2.1k citations), Cancer Research (1.6k citations), Oncology (1.1k citations), Molecular Biology (2.2k citations) and Immunology (564 citations). Samuel Berman has collaborated with scholars based in United States, Ireland and Germany. Frequent co-authors include Fabiana Perna, Michel Sadelain, Cameron Brennan, Rajesh Kumar Soni, Justin Eyquem, Mohamad Hamieh, Jorge Mansilla‐Soto, Ronald C. Hendrickson, Britta Weigelt and Jorge Sergio Reis-Filho. Their work appears in journals such as Advanced Science, Physical review. B., Cell, Clinical Cancer Research and PLoS ONE.
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.