Sam Behjati
Impact in
- Cancer Research top 0.05%
- Cancer Genomics and Diagnostics
- Oncology top 0.2%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
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- Cancer Genomics and Diagnostics 47
-
- Renal and related cancers 21
- Single-cell and spatial transcriptomics 17
- RNA modifications and cancer 8
- Co-authors
- Matthew D. Young (14 shared papers)Patrick S. Tarpey (9 shared papers)Michael R. Stratton (5 shared papers)Ton N. Schumacher (2 shared papers)Henk Hilkmann (2 shared papers)John B.A.G. Haanen (2 shared papers)Marit M. van Buuren (2 shared papers)Dris El Atmioui (2 shared papers)
- Journals
- Nature Communications (27 papers)Nature (14 papers)Nature Genetics (11 papers)Science (10 papers)Nature Medicine (5 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Sam Behjati
138 papers receiving 29.1k citations
Sam Behjati's Hit Papers
Peers
Comparison fields: 5 of 175
- Cancer Research 9.3k
- Oncology 7.8k
- Immunology 4.3k
- Molecular Biology 13.6k
- Pathology and Forensic Medicine 2.7k
Countries citing papers authored by Sam Behjati
This map shows the geographic impact of Sam Behjati'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 Sam Behjati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Behjati more than expected).
Fields of papers citing papers by Sam Behjati
This network shows the impact of papers produced by Sam Behjati. 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 Sam Behjati. The network helps show where Sam Behjati may publish in the future.
Co-authors
The 25 scholars most cited alongside Sam Behjati, 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 144 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Signatures of mutational processes in human cancer Hit paper breakdown → | 2013 | 7583 |
| 2 | The repertoire of mutational signatures in human cancer Hit paper breakdown → | 2020 | 2339 |
| 3 | Pan-cancer analysis of whole genomes Hit paper breakdown → | 2020 | 2109 |
| 4 | SoupX removes ambient RNA contamination from droplet-based single-cell RNA sequencing data Hit paper breakdown → | 2020 | 887 |
| 5 | Tumor Exome Analysis Reveals Neoantigen-Specific T-Cell Reactivity in an Ipilimumab-Responsive Melanoma Hit paper breakdown → | 2013 | 707 |
| 6 | The evolutionary history of 2,658 cancers Hit paper breakdown → | 2020 | 705 |
| 7 | Distinct H3F3A and H3F3B driver mutations define chondroblastoma and giant cell tumor of bone Hit paper breakdown → | 2013 | 659 |
| 8 | Prediction of acute myeloid leukaemia risk in healthy individuals Hit paper breakdown → | 2018 | 657 |
| 9 | High-throughput epitope discovery reveals frequent recognition of neo-antigens by CD4+ T cells in human melanoma Hit paper breakdown → | 2014 | 582 |
| 10 | What is next generation sequencing? Hit paper breakdown → | 2013 | 571 |
| 11 | Single-cell transcriptomes from human kidneys reveal the cellular identity of renal tumors Hit paper breakdown → | 2018 | 555 |
| 12 | Patterns of somatic structural variation in human cancer genomes Hit paper breakdown → | 2020 | 550 |
| 13 | A cell atlas of human thymic development defines T cell repertoire formation Hit paper breakdown → | 2020 | 527 |
| 14 | Comprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing Hit paper breakdown → | 2020 | 476 |
| 15 | Intra-tumour diversification in colorectal cancer at the single-cell level Hit paper breakdown → | 2018 | 433 |
| 16 | Decoding human fetal liver haematopoiesis Hit paper breakdown → | 2019 | 427 |
| 17 | Analyses of non-coding somatic drivers in 2,658 cancer whole genomes Hit paper breakdown → | 2020 | 419 |
| 18 | 2014 | 403 | |
| 19 | Developmental cell programs are co-opted in inflammatory skin disease Hit paper breakdown → | 2021 | 387 |
| 20 | 2017 | 357 |
About Sam Behjati
Sam Behjati is a scholar working on Cancer Research, Molecular Biology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Oncology, having authored 144 papers that have together received 29.5k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (47 papers), Renal and related cancers (21 papers), Single-cell and spatial transcriptomics (17 papers), Sarcoma Diagnosis and Treatment (15 papers), Genetic factors in colorectal cancer (14 papers), Renal cell carcinoma treatment (10 papers), RNA modifications and cancer (8 papers) and Neuroblastoma Research and Treatments (8 papers). The work is most often cited by research in Cancer Research (9.3k citations), Oncology (7.8k citations), Immunology (4.3k citations), Molecular Biology (13.6k citations) and Pathology and Forensic Medicine (2.7k citations). Sam Behjati has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Matthew D. Young, Patrick S. Tarpey, Michael R. Stratton, Ton N. Schumacher, Henk Hilkmann, John B.A.G. Haanen, Marit M. van Buuren, Dris El Atmioui, Arno Velds and Kathy Pritchard‐Jones. Their work appears in journals such as Nature Communications, Nature, Nature Genetics, Science and Nature Medicine.
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.