Yasin Şenbabaoğlu
Impact in
- Cancer Research top 0.1%
- Cancer Genomics and Diagnostics
- Oncology top 0.1%
- Cancer Immunotherapy and Biomarkers
- Pancreatic and Hepatic Oncology Research
Papers in
-
- Cancer Genomics and Diagnostics 22
- Oncology 19
- Cancer Immunotherapy and Biomarkers 10
- Co-authors
- Chris Sander (3 shared papers)Martin L. Miller (2 shared papers)Giovanni Ciriello (2 shared papers)Nikolaus D. Schultz (2 shared papers)Bülent Arman Aksoy (1 shared paper)A. Ari Hakimi (3 shared papers)Nadeem Riaz (3 shared papers)Jun Li (3 shared papers)
- Journals
- Nature Communications (12 papers)Nature (11 papers)Nature Genetics (6 papers)Cancer Cell (4 papers)Cell (3 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Yasin Şenbabaoğlu
63 papers receiving 31.0k citations
Yasin Şenbabaoğlu's Hit Papers
Peers
Comparison fields: 5 of 179
- Cancer Research 8.6k
- Oncology 11.3k
- Immunology 4.5k
- Molecular Biology 12.8k
- Pulmonary and Respiratory Medicine 5.4k
Countries citing papers authored by Yasin Şenbabaoğlu
This map shows the geographic impact of Yasin Şenbabaoğlu'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 Yasin Şenbabaoğlu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasin Şenbabaoğlu more than expected).
Fields of papers citing papers by Yasin Şenbabaoğlu
This network shows the impact of papers produced by Yasin Şenbabaoğlu. 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 Yasin Şenbabaoğlu. The network helps show where Yasin Şenbabaoğlu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yasin Şenbabaoğlu, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Comprehensive molecular characterization of gastric adenocarcinoma Hit paper breakdown → | 2014 | 5209 |
| 2 | TGFβ attenuates tumour response to PD-L1 blockade by contributing to exclusion of T cells Hit paper breakdown → | 2018 | 4038 |
| 3 | Genomic Classification of Cutaneous Melanoma Hit paper breakdown → | 2015 | 2509 |
| 4 | Integrated Genomic Characterization of Papillary Thyroid Carcinoma Hit paper breakdown → | 2014 | 2442 |
| 5 | The repertoire of mutational signatures in human cancer Hit paper breakdown → | 2020 | 2339 |
| 6 | Pan-cancer analysis of whole genomes Hit paper breakdown → | 2020 | 2109 |
| 7 | Integrated Genomic Characterization of Pancreatic Ductal Adenocarcinoma Hit paper breakdown → | 2017 | 1559 |
| 8 | Emerging landscape of oncogenic signatures across human cancers Hit paper breakdown → | 2013 | 1046 |
| 9 | Identification of unique neoantigen qualities in long-term survivors of pancreatic cancer Hit paper breakdown → | 2017 | 928 |
| 10 | Tumor immune microenvironment characterization in clear cell renal cell carcinoma identifies prognostic and immunotherapeutically relevant messenger RNA signatures Hit paper breakdown → | 2016 | 738 |
| 11 | The evolutionary history of 2,658 cancers Hit paper breakdown → | 2020 | 705 |
| 12 | Single-Cell RNA Sequencing Reveals Stromal Evolution into LRRC15+ Myofibroblasts as a Determinant of Patient Response to Cancer Immunotherapy Hit paper breakdown → | 2019 | 642 |
| 13 | The head and neck cancer immune landscape and its immunotherapeutic implications Hit paper breakdown → | 2016 | 620 |
| 14 | Patterns of somatic structural variation in human cancer genomes Hit paper breakdown → | 2020 | 550 |
| 15 | Comprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing Hit paper breakdown → | 2020 | 476 |
| 16 | 2016 | 422 | |
| 17 | Analyses of non-coding somatic drivers in 2,658 cancer whole genomes Hit paper breakdown → | 2020 | 419 |
| 18 | CTLA-4 blockade drives loss of Treg stability in glycolysis-low tumours Hit paper breakdown → | 2021 | 327 |
| 19 | 2020 | 317 | |
| 20 | Pan-cancer analysis of whole genomes identifies driver rearrangements promoted by LINE-1 retrotransposition Hit paper breakdown → | 2020 | 309 |
About Yasin Şenbabaoğlu
Yasin Şenbabaoğlu is a scholar working on Cancer Research, Oncology, Immunology, Pathology and Forensic Medicine and Molecular Biology, having authored 63 papers that have together received 31.5k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (22 papers), Cancer Immunotherapy and Biomarkers (10 papers), Genetic factors in colorectal cancer (9 papers), Immune Cell Function and Interaction (7 papers), Bioinformatics and Genomic Networks (7 papers), Immune cells in cancer (6 papers), Genomics and Chromatin Dynamics (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Cancer Research (8.6k citations), Oncology (11.3k citations), Immunology (4.5k citations), Molecular Biology (12.8k citations) and Pulmonary and Respiratory Medicine (5.4k citations). Yasin Şenbabaoğlu has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Chris Sander, Martin L. Miller, Giovanni Ciriello, Nikolaus D. Schultz, Bülent Arman Aksoy, A. Ari Hakimi, Nadeem Riaz, Jun Li, George C. Michailidis and Luc G. T. Morris. Their work appears in journals such as Nature Communications, Nature, Nature Genetics, Cancer Cell 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.