Gregory Ryslik
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
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- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Genomics and Chromatin Dynamics
- Gene Regulatory Network Analysis
- RNA modifications and cancer
- Epigenetics and DNA Methylation
Papers in
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- Protein purification and stability 1
- DNA and Nucleic Acid Chemistry 1
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- Computational Drug Discovery Methods 2
- Co-authors
- Yu‐Wei Cheng (4 shared papers)Jacob Thomas (1 shared paper)Gad Getz (1 shared paper)Michael D. McLellan (1 shared paper)Mark D.M. Leiserson (1 shared paper)Hsin-Ta Wu (1 shared paper)Benjamin J. Raphael (1 shared paper)Alexandra Papoutsaki (1 shared paper)
- Journals
- BMC Bioinformatics (3 papers)Drug Metabolism Reviews (1 paper)Psychopharmacology (1 paper)Nature Genetics (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesUnited KingdomAustria
In The Last Decade
Gregory Ryslik
8 papers receiving 691 citations
Gregory Ryslik's Hit Papers
Peers
Comparison fields: 5 of 80
- Cancer Research 195
- Molecular Biology 546
- Computational Theory and Mathematics 75
- Genetics 80
- Oncology 44
Countries citing papers authored by Gregory Ryslik
This map shows the geographic impact of Gregory Ryslik'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 Gregory Ryslik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory Ryslik more than expected).
Fields of papers citing papers by Gregory Ryslik
This network shows the impact of papers produced by Gregory Ryslik. 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 Gregory Ryslik. The network helps show where Gregory Ryslik may publish in the future.
Co-authors
The 25 scholars most cited alongside Gregory Ryslik, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Pan-cancer network analysis identifies combinations of rare somatic mutations across pathways and protein complexes Hit paper breakdown → | 2014 | 621 |
| 2 | 2014 | 21 | |
| 3 | 2015 | 16 | |
| 4 | 2014 | 16 | |
| 5 | 2023 | 11 | |
| 6 | 2016 | 6 | |
| 7 | 2016 | 6 | |
| 8 | 2017 | 3 |
About Gregory Ryslik
Gregory Ryslik is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cancer Research, Clinical Psychology and Pharmacology, having authored 8 papers that have together received 700 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Genomics and Rare Diseases (1 paper), Analytical Chemistry and Chromatography (1 paper), Protein purification and stability (1 paper), Cancer Genomics and Diagnostics (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper) and DNA and Nucleic Acid Chemistry (1 paper). The work is most often cited by research in Cancer Research (195 citations), Molecular Biology (546 citations), Computational Theory and Mathematics (75 citations), Genetics (80 citations) and Oncology (44 citations). Gregory Ryslik has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Yu‐Wei Cheng, Jacob Thomas, Gad Getz, Michael D. McLellan, Mark D.M. Leiserson, Hsin-Ta Wu, Benjamin J. Raphael, Alexandra Papoutsaki, Núria López-Bigas and Beifang Niu. Their work appears in journals such as BMC Bioinformatics, Drug Metabolism Reviews, Psychopharmacology, Nature Genetics and Scientific Reports.
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.