Colm J. Ryan
Impact in
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- CRISPR and Genetic Engineering
- DNA Repair Mechanisms
- Chromatin Remodeling and Cancer
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- Oncology top 10%
- PARP inhibition in cancer therapy
Papers in
-
- Bioinformatics and Genomic Networks 14
- CRISPR and Genetic Engineering 12
- RNA and protein synthesis mechanisms 7
- Genomics and Chromatin Dynamics 7
- Ubiquitin and proteasome pathways 6
- RNA Research and Splicing 5
- Gene expression and cancer classification 4
- Oncology 7
- Co-authors
- Christopher J. Lord (10 shared papers)Nevan J. Krogan (15 shared papers)Barbara De Kegel (5 shared papers)Ilirjana Bajrami (2 shared papers)James Campbell (4 shared papers)Rachel Brough (2 shared papers)Niall Quinn (3 shared papers)Aditi Gulati (2 shared papers)
- Journals
- PLoS Genetics (4 papers)Cell Systems (3 papers)Cell Reports (3 papers)Trends in cancer (2 papers)Molecular Systems Biology (2 papers)
- Partner nations
- IrelandUnited StatesUnited Kingdom
In The Last Decade
Colm J. Ryan
43 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 860
- Oncology 217
- Cancer Research 109
- Pathology and Forensic Medicine 106
- Aging 10
Countries citing papers authored by Colm J. Ryan
This map shows the geographic impact of Colm J. Ryan'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 Colm J. Ryan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Colm J. Ryan more than expected).
Fields of papers citing papers by Colm J. Ryan
This network shows the impact of papers produced by Colm J. Ryan. 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 Colm J. Ryan. The network helps show where Colm J. Ryan may publish in the future.
Co-authors
The 25 scholars most cited alongside Colm J. Ryan, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 279 | |
| 2 | 2013 | 67 | |
| 3 | 2018 | 58 | |
| 4 | 2019 | 56 | |
| 5 | 2012 | 44 | |
| 6 | 2021 | 44 | |
| 7 | 2023 | 38 | |
| 8 | 2022 | 37 | |
| 9 | 2023 | 33 | |
| 10 | 2013 | 32 | |
| 11 | 2005 | 30 | |
| 12 | 2013 | 29 | |
| 13 | 2017 | 28 | |
| 14 | 2013 | 27 | |
| 15 | 2020 | 26 | |
| 16 | 2011 | 25 | |
| 17 | 2018 | 23 | |
| 18 | 2015 | 23 | |
| 19 | 2017 | 21 | |
| 20 | 2017 | 19 |
About Colm J. Ryan
Colm J. Ryan is a scholar working on Molecular Biology, Oncology, Computational Theory and Mathematics, Genetics and Spectroscopy, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (14 papers), CRISPR and Genetic Engineering (12 papers), RNA and protein synthesis mechanisms (7 papers), Genomics and Chromatin Dynamics (7 papers), Ubiquitin and proteasome pathways (6 papers), Computational Drug Discovery Methods (5 papers), RNA Research and Splicing (5 papers) and Gene expression and cancer classification (4 papers). The work is most often cited by research in Molecular Biology (860 citations), Oncology (217 citations), Cancer Research (109 citations), Pathology and Forensic Medicine (106 citations) and Aging (10 citations). Colm J. Ryan has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include Christopher J. Lord, Nevan J. Krogan, Barbara De Kegel, Ilirjana Bajrami, James Campbell, Rachel Brough, Niall Quinn, Aditi Gulati, David J. Adams and Chris T. Williamson. Their work appears in journals such as PLoS Genetics, Cell Systems, Cell Reports, Trends in cancer and Molecular Systems Biology.
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.