Anil Korkut
Impact in
- Cancer Research top 0.1%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Oncology top 0.2%
- Cancer Immunotherapy and Biomarkers
- Pancreatic and Hepatic Oncology Research
Papers in
-
- Cancer Genomics and Diagnostics 25
- Oncology 21
- Cancer-related Molecular Pathways 6
- Co-authors
- Özgün Babur (6 shared papers)Chris Sander (10 shared papers)Maria Cardenas (2 shared papers)Thierry Soussi (2 shared papers)Olivier Lichtarge (2 shared papers)Xubin Li (2 shared papers)Yuexin Liu (2 shared papers)David A. Wheeler (2 shared papers)
- Journals
- Cell Reports (15 papers)Cell (10 papers)Cancer Cell (6 papers)Cell Systems (4 papers)JCO Precision Oncology (3 papers)
- Partner nations
- United StatesFranceSweden
In The Last Decade
Anil Korkut
68 papers receiving 25.7k citations
Anil Korkut's Hit Papers
Peers
Comparison fields: 5 of 160
- Cancer Research 7.9k
- Oncology 7.4k
- Molecular Biology 13.7k
- Pulmonary and Respiratory Medicine 4.1k
- Immunology 2.5k
Countries citing papers authored by Anil Korkut
This map shows the geographic impact of Anil Korkut'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 Anil Korkut with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anil Korkut more than expected).
Fields of papers citing papers by Anil Korkut
This network shows the impact of papers produced by Anil Korkut. 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 Anil Korkut. The network helps show where Anil Korkut may publish in the future.
Co-authors
The 25 scholars most cited alongside Anil Korkut, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics Hit paper breakdown → | 2018 | 2602 |
| 2 | Genomic Classification of Cutaneous Melanoma Hit paper breakdown → | 2015 | 2509 |
| 3 | Oncogenic Signaling Pathways in The Cancer Genome Atlas Hit paper breakdown → | 2018 | 2334 |
| 4 | Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer Hit paper breakdown → | 2018 | 1720 |
| 5 | Comprehensive Characterization of Cancer Driver Genes and Mutations Hit paper breakdown → | 2018 | 1714 |
| 6 | Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation Hit paper breakdown → | 2018 | 1617 |
| 7 | Integrated Genomic Characterization of Pancreatic Ductal Adenocarcinoma Hit paper breakdown → | 2017 | 1559 |
| 8 | Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas Hit paper breakdown → | 2018 | 810 |
| 9 | The chromatin accessibility landscape of primary human cancers Hit paper breakdown → | 2018 | 802 |
| 10 | Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images Hit paper breakdown → | 2018 | 761 |
| 11 | Genomic and Functional Approaches to Understanding Cancer Aneuploidy Hit paper breakdown → | 2018 | 749 |
| 12 | Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients Hit paper breakdown → | 2018 | 685 |
| 13 | Pathogenic Germline Variants in 10,389 Adult Cancers Hit paper breakdown → | 2018 | 606 |
| 14 | Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines Hit paper breakdown → | 2018 | 583 |
| 15 | The Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma Hit paper breakdown → | 2018 | 569 |
| 16 | Integrated Analysis of TP53 Gene and Pathway Alterations in The Cancer Genome Atlas Hit paper breakdown → | 2019 | 488 |
| 17 | A Comprehensive Pan-Cancer Molecular Study of Gynecologic and Breast Cancers Hit paper breakdown → | 2018 | 456 |
| 18 | Driver Fusions and Their Implications in the Development and Treatment of Human Cancers Hit paper breakdown → | 2018 | 451 |
| 19 | The Immune Landscape of Cancer Hit paper breakdown → | 2019 | 449 |
| 20 | 2018 | 392 |
About Anil Korkut
Anil Korkut is a scholar working on Cancer Research, Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 70 papers that have together received 26.0k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (25 papers), Ferroptosis and cancer prognosis (8 papers), RNA modifications and cancer (7 papers), Cancer-related Molecular Pathways (6 papers), MRI in cancer diagnosis (6 papers), Bioinformatics and Genomic Networks (6 papers), Computational Drug Discovery Methods (5 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Cancer Research (7.9k citations), Oncology (7.4k citations), Molecular Biology (13.7k citations), Pulmonary and Respiratory Medicine (4.1k citations) and Immunology (2.5k citations). Anil Korkut has collaborated with scholars based in United States, France and Sweden. Frequent co-authors include Özgün Babur, Chris Sander, Maria Cardenas, Thierry Soussi, Olivier Lichtarge, Xubin Li, Yuexin Liu, David A. Wheeler, Rehan Akbani and John N. Weinstein. Their work appears in journals such as Cell Reports, Cell, Cancer Cell, Cell Systems and JCO Precision Oncology.
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.