Ryan J. Catchpole
Impact in
- Microbiology top 5%
- Bacterial Infections and Vaccines
- Endocrinology top 10%
Papers in
- Ecology 10
- Bacteriophages and microbial interactions 10
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- CRISPR and Genetic Engineering 8
- RNA and protein synthesis mechanisms 8
- Genomics and Phylogenetic Studies 5
- Co-authors
- Patrick Forterre (13 shared papers)Sukhvinder Gill (1 shared paper)Michael P. Terns (8 shared papers)Violette Da Cunha (8 shared papers)Jacques Oberto (8 shared papers)Anthony M. Poole (4 shared papers)Arvind Varsani (1 shared paper)Simona J. Kraberger (1 shared paper)
- Journals
- Nature Microbiology (4 papers)Extremophiles (3 papers)eLife (2 papers)Molecular Biology and Evolution (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- FranceUnited StatesNew Zealand
In The Last Decade
Ryan J. Catchpole
28 papers receiving 677 citations
Peers
Comparison fields: 5 of 98
- Microbiology 141
- Endocrinology 37
- Molecular Biology 461
- Ecology 144
- Molecular Medicine 21
Countries citing papers authored by Ryan J. Catchpole
This map shows the geographic impact of Ryan J. Catchpole'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 Ryan J. Catchpole with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan J. Catchpole more than expected).
Fields of papers citing papers by Ryan J. Catchpole
This network shows the impact of papers produced by Ryan J. Catchpole. 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 Ryan J. Catchpole. The network helps show where Ryan J. Catchpole may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan J. Catchpole, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 389 | |
| 2 | 2016 | 64 | |
| 3 | 2019 | 37 | |
| 4 | 2017 | 25 | |
| 5 | 2014 | 20 | |
| 6 | 2021 | 15 | |
| 7 | 2022 | 15 | |
| 8 | 2017 | 14 | |
| 9 | 2010 | 13 | |
| 10 | 2022 | 10 | |
| 11 | 2017 | 9 | |
| 12 | 2022 | 9 | |
| 13 | 2018 | 8 | |
| 14 | 2021 | 8 | |
| 15 | 2023 | 6 | |
| 16 | 2024 | 6 | |
| 17 | 2024 | 6 | |
| 18 | 1975 | 6 | |
| 19 | 2019 | 5 | |
| 20 | 2014 | 4 |
About Ryan J. Catchpole
Ryan J. Catchpole is a scholar working on Ecology, Molecular Biology, Genetics, Molecular Medicine and Aging, having authored 30 papers that have together received 688 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (10 papers), CRISPR and Genetic Engineering (8 papers), Bacterial Genetics and Biotechnology (8 papers), RNA and protein synthesis mechanisms (8 papers), Genomics and Phylogenetic Studies (5 papers), Antibiotic Resistance in Bacteria (3 papers), Power Line Communications and Noise (2 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Microbiology (141 citations), Endocrinology (37 citations), Molecular Biology (461 citations), Ecology (144 citations) and Molecular Medicine (21 citations). Ryan J. Catchpole has collaborated with scholars based in France, United States and New Zealand. Frequent co-authors include Patrick Forterre, Sukhvinder Gill, Michael P. Terns, Violette Da Cunha, Jacques Oberto, Anthony M. Poole, Arvind Varsani, Simona J. Kraberger, Anisha Dayaram and Laurel Julian. Their work appears in journals such as Nature Microbiology, Extremophiles, eLife, Molecular Biology and Evolution and Nucleic Acids Research.
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.