Ilya Shmulevich
Impact in
- Cancer Research top 0.01%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Oncology top 0.05%
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Cancer Genomics and Diagnostics 50
-
- Gene Regulatory Network Analysis 43
- Bioinformatics and Genomic Networks 42
- Gene expression and cancer classification 30
- Microbial Metabolic Engineering and Bioproduction 18
- Genomics and Chromatin Dynamics 17
- RNA modifications and cancer 17
- Co-authors
- Edward R. Dougherty (20 shared papers)Gordon Brent Mills (3 shared papers)Chris Sander (1 shared paper)Kyle Ellrott (1 shared paper)Joshua M. Stuart (1 shared paper)Brad Ozenberger (1 shared paper)Kenna R Mills Shaw (1 shared paper)John N. Weinstein (1 shared paper)
- Journals
- Cell Reports (15 papers)Cell (14 papers)Nature Communications (13 papers)Cancer Cell (12 papers)PLoS ONE (11 papers)
- Partner nations
- United StatesCanadaFinland
In The Last Decade
Ilya Shmulevich
280 papers receiving 72.9k citations
Ilya Shmulevich's Hit Papers
Peers
Comparison fields: 5 of 214
- Cancer Research 20.5k
- Oncology 16.0k
- Molecular Biology 36.6k
- Pulmonary and Respiratory Medicine 13.4k
- Pathology and Forensic Medicine 4.9k
Countries citing papers authored by Ilya Shmulevich
This map shows the geographic impact of Ilya Shmulevich'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 Ilya Shmulevich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ilya Shmulevich more than expected).
Fields of papers citing papers by Ilya Shmulevich
This network shows the impact of papers produced by Ilya Shmulevich. 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 Ilya Shmulevich. The network helps show where Ilya Shmulevich may publish in the future.
Co-authors
The 25 scholars most cited alongside Ilya Shmulevich, 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 285 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Cancer Genome Atlas Pan-Cancer analysis project Hit paper breakdown → | 2013 | 6272 |
| 2 | Comprehensive molecular characterization of gastric adenocarcinoma Hit paper breakdown → | 2014 | 5209 |
| 3 | The Immune Landscape of Cancer Hit paper breakdown → | 2018 | 4331 |
| 4 | Comprehensive molecular characterization of clear cell renal cell carcinoma Hit paper breakdown → | 2013 | 2829 |
| 5 | An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics Hit paper breakdown → | 2018 | 2602 |
| 6 | Genomic Classification of Cutaneous Melanoma Hit paper breakdown → | 2015 | 2509 |
| 7 | Integrated Genomic Characterization of Papillary Thyroid Carcinoma Hit paper breakdown → | 2014 | 2442 |
| 8 | The Molecular Taxonomy of Primary Prostate Cancer Hit paper breakdown → | 2015 | 2435 |
| 9 | Comprehensive molecular characterization of urothelial bladder carcinoma Hit paper breakdown → | 2014 | 2419 |
| 10 | The repertoire of mutational signatures in human cancer Hit paper breakdown → | 2020 | 2339 |
| 11 | Oncogenic Signaling Pathways in The Cancer Genome Atlas Hit paper breakdown → | 2018 | 2334 |
| 12 | Pan-cancer analysis of whole genomes Hit paper breakdown → | 2020 | 2109 |
| 13 | Comprehensive and Integrative Genomic Characterization of Hepatocellular Carcinoma Hit paper breakdown → | 2017 | 1970 |
| 14 | Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer Hit paper breakdown → | 2018 | 1720 |
| 15 | Comprehensive Characterization of Cancer Driver Genes and Mutations Hit paper breakdown → | 2018 | 1714 |
| 16 | Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation Hit paper breakdown → | 2018 | 1617 |
| 17 | Integrated genomic and molecular characterization of cervical cancer Hit paper breakdown → | 2017 | 1221 |
| 18 | Probabilistic Boolean networks: a rule-based uncertainty model for gene regulatory networks Hit paper breakdown → | 2002 | 1212 |
| 19 | Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas Hit paper breakdown → | 2018 | 810 |
| 20 | Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images Hit paper breakdown → | 2018 | 761 |
About Ilya Shmulevich
Ilya Shmulevich is a scholar working on Cancer Research, Molecular Biology, Oncology, Genetics and Computer Vision and Pattern Recognition, having authored 285 papers that have together received 74.0k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (50 papers), Gene Regulatory Network Analysis (43 papers), Bioinformatics and Genomic Networks (42 papers), Gene expression and cancer classification (30 papers), Microbial Metabolic Engineering and Bioproduction (18 papers), Genomics and Chromatin Dynamics (17 papers), Genetic factors in colorectal cancer (17 papers) and RNA modifications and cancer (17 papers). The work is most often cited by research in Cancer Research (20.5k citations), Oncology (16.0k citations), Molecular Biology (36.6k citations), Pulmonary and Respiratory Medicine (13.4k citations) and Pathology and Forensic Medicine (4.9k citations). Ilya Shmulevich has collaborated with scholars based in United States, Canada and Finland. Frequent co-authors include Edward R. Dougherty, Gordon Brent Mills, Chris Sander, Kyle Ellrott, Joshua M. Stuart, Brad Ozenberger, Kenna R Mills Shaw, John N. Weinstein, Wei Zhang and Seungchan Kim. Their work appears in journals such as Cell Reports, Cell, Nature Communications, Cancer Cell 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.