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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- Bioinformatics and Genomic Networks 3
- Protein purification and stability 1
- Genomics and Phylogenetic Studies 1
- Genetics 3
- Genomics and Rare Diseases 3
- Co-authors
- Yu‐Wei Cheng (4 shared papers)Li Ding (1 shared paper)Benjamin J. Raphael (1 shared paper)Michael S. Lawrence (1 shared paper)Gad Getz (1 shared paper)Núria López-Bigas (1 shared paper)Fabio Vandin (1 shared paper)Jacob Thomas (1 shared paper)
- Journals
- BMC Bioinformatics (3 papers)Drug Metabolism Reviews (1 paper)Scientific Reports (1 paper)Nature Genetics (1 paper)Psychopharmacology (1 paper)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Gregory Ryslik
8 papers receiving 655 citations
Gregory Ryslik's Hit Papers
Peers
Comparison fields: 5 of 84
- Cancer Research 226
- Molecular Biology 556
- Computational Theory and Mathematics 80
- Genetics 91
- Oncology 46
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 | 588 |
| 2 | 2014 | 21 | |
| 3 | 2015 | 15 | |
| 4 | 2014 | 15 | |
| 5 | 2023 | 10 | |
| 6 | 2016 | 6 | |
| 7 | 2016 | 6 | |
| 8 | 2017 | 3 |
About Gregory Ryslik
Gregory Ryslik is a scholar working on Molecular Biology, Genetics, Cancer Research, Computational Theory and Mathematics and Organic Chemistry, having authored 8 papers that have together received 664 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (3 papers), Genomics and Rare Diseases (3 papers), Cancer Genomics and Diagnostics (2 papers), Computational Drug Discovery Methods (2 papers), Psychedelics and Drug Studies (1 paper), Protein purification and stability (1 paper), Analytical Chemistry and Chromatography (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Cancer Research (226 citations), Molecular Biology (556 citations), Computational Theory and Mathematics (80 citations), Genetics (91 citations) and Oncology (46 citations). Gregory Ryslik has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Yu‐Wei Cheng, Li Ding, Benjamin J. Raphael, Michael S. Lawrence, Gad Getz, Núria López-Bigas, Fabio Vandin, Jacob Thomas, Younhun Kim and Beifang Niu. Their work appears in journals such as BMC Bioinformatics, Drug Metabolism Reviews, Scientific Reports, Nature Genetics and Psychopharmacology.
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.