Tom Deegan
Impact in
- Molecular Biology top 10%
- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- DNA and Nucleic Acid Chemistry
- CRISPR and Genetic Engineering
- RNA modifications and cancer
- Cell Biology top 10%
- Microtubule and mitosis dynamics
Papers in
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- DNA Repair Mechanisms 10
- Fungal and yeast genetics research 4
- Ubiquitin and proteasome pathways 2
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- Microtubule and mitosis dynamics 4
- Co-authors
- John F.X. Diffley (5 shared papers)Joseph T.P. Yeeles (4 shared papers)Anne Early (1 shared paper)Karim Labib (8 shared papers)Ryo Fujisawa (4 shared papers)Jonathan Baxter (1 shared paper)María Ángeles Ortiz-Bazán (1 shared paper)Yasemin Baris (1 shared paper)
- Journals
- The EMBO Journal (4 papers)Nature (2 papers)Biochemical Journal (2 papers)Molecular Cell (1 paper)Current Biology (1 paper)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Tom Deegan
14 papers receiving 992 citations
Tom Deegan's Hit Papers
Peers
Comparison fields: 5 of 70
- Molecular Biology 866
- Cell Biology 188
- Aging 20
- Genetics 147
- Oncology 98
Countries citing papers authored by Tom Deegan
This map shows the geographic impact of Tom Deegan'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 Tom Deegan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Deegan more than expected).
Fields of papers citing papers by Tom Deegan
This network shows the impact of papers produced by Tom Deegan. 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 Tom Deegan. The network helps show where Tom Deegan may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Deegan, 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 | Regulated eukaryotic DNA replication origin firing with purified proteins Hit paper breakdown → | 2015 | 395 |
| 2 | 2016 | 133 | |
| 3 | 2016 | 104 | |
| 4 | 2021 | 80 | |
| 5 | 2019 | 66 | |
| 6 | 2020 | 53 | |
| 7 | 2021 | 51 | |
| 8 | 2021 | 35 | |
| 9 | 2012 | 24 | |
| 10 | 2024 | 23 | |
| 11 | 2021 | 21 | |
| 12 | 2024 | 5 | |
| 13 | 2024 | 2 | |
| 14 | 2024 | 2 |
About Tom Deegan
Tom Deegan is a scholar working on Molecular Biology, Cell Biology, Genetics, Infectious Diseases and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 994 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (10 papers), Fungal and yeast genetics research (4 papers), Microtubule and mitosis dynamics (4 papers), Ubiquitin and proteasome pathways (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Genetic Neurodegenerative Diseases (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Molecular Biology (866 citations), Cell Biology (188 citations), Aging (20 citations), Genetics (147 citations) and Oncology (98 citations). Tom Deegan has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include John F.X. Diffley, Joseph T.P. Yeeles, Anne Early, Karim Labib, Ryo Fujisawa, Jonathan Baxter, María Ángeles Ortiz-Bazán, Yasemin Baris, Michael Jenkyn-Bedford and Morgan Jones. Their work appears in journals such as The EMBO Journal, Nature, Biochemical Journal, Molecular Cell and Current 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.