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
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- PARP inhibition in cancer therapy
Papers in
-
- Bioinformatics and Genomic Networks 15
- CRISPR and Genetic Engineering 12
- Genomics and Chromatin Dynamics 8
- RNA and protein synthesis mechanisms 8
- Gene expression and cancer classification 6
- Ubiquitin and proteasome pathways 6
- RNA Research and Splicing 5
- 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)Aditi Gulati (2 shared papers)Rachel Brough (2 shared papers)Niall Quinn (3 shared papers)
- Journals
- PLoS Genetics (4 papers)Cell Reports (3 papers)Cell Systems (3 papers)Trends in cancer (2 papers)NAR Genomics and Bioinformatics (2 papers)
- Partner nations
- IrelandUnited StatesUnited Kingdom
In The Last Decade
Colm J. Ryan
39 papers receiving 999 citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 862
- Oncology 231
- Cancer Research 124
- Pathology and Forensic Medicine 117
- Aging 11
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 | 270 | |
| 2 | 2013 | 63 | |
| 3 | 2018 | 56 | |
| 4 | 2019 | 54 | |
| 5 | 2021 | 44 | |
| 6 | 2012 | 44 | |
| 7 | 2013 | 32 | |
| 8 | 2023 | 31 | |
| 9 | 2022 | 30 | |
| 10 | 2005 | 30 | |
| 11 | 2023 | 29 | |
| 12 | 2017 | 28 | |
| 13 | 2013 | 26 | |
| 14 | 2013 | 26 | |
| 15 | 2020 | 26 | |
| 16 | 2011 | 24 | |
| 17 | 2015 | 23 | |
| 18 | 2018 | 22 | |
| 19 | 2017 | 21 | |
| 20 | 2010 | 18 |
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 1.0k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (15 papers), CRISPR and Genetic Engineering (12 papers), Genomics and Chromatin Dynamics (8 papers), RNA and protein synthesis mechanisms (8 papers), Gene expression and cancer classification (6 papers), Ubiquitin and proteasome pathways (6 papers), Computational Drug Discovery Methods (5 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Molecular Biology (862 citations), Oncology (231 citations), Cancer Research (124 citations), Pathology and Forensic Medicine (117 citations) and Aging (11 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, Aditi Gulati, Rachel Brough, Niall Quinn, David J. Adams and Asha Konde. Their work appears in journals such as PLoS Genetics, Cell Reports, Cell Systems, Trends in cancer and NAR Genomics and Bioinformatics.
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.