Patrick A. Eyers
- Cell Biology top 0.5%
- Microtubule and mitosis dynamics 31
- Endoplasmic Reticulum Stress and Disease 15
- Molecular Biology top 1%
- Protein Kinase Regulation and GTPase Signaling 17
- Ubiquitin and proteasome pathways 11
- Photosynthetic Processes and Mechanisms 8
- Computational Theory and Mathematics top 0.5%
- Oncology top 2%
- Cancer-related Molecular Pathways 10
- Infectious Diseases top 2%
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- Mass Spectrometry Techniques and Applications 9
- Advanced Proteomics Techniques and Applications 8
- Co-authors
- Sudeep PushpakomKatherine J. EscottMunir PirmohamedTim GuilliamsJoanna LatimerAndrew J. DoigChristine J. McNameePhilippe Sanséau
- Journals
- Biochemical Journal (11 papers)Science Signaling (7 papers)Journal of Biological Chemistry (5 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Patrick A. Eyers
92 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Cell Biology 1.9k
- Molecular Biology 4.9k
- Computational Theory and Mathematics 1.1k
- Oncology 1.4k
- Infectious Diseases 601
Countries citing papers authored by Patrick A. Eyers
This map shows the geographic impact of Patrick A. Eyers'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 Patrick A. Eyers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick A. Eyers more than expected).
Fields of papers citing papers by Patrick A. Eyers
This network shows the impact of papers produced by Patrick A. Eyers. 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 Patrick A. Eyers. The network helps show where Patrick A. Eyers may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Patrick A. Eyers, 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 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 7 | |
| 8 | 2022 | 27 | |
| 9 | 2022 | 6 | |
| 10 | 2021 | 8 | |
| 11 | 2021 | 75 | |
| 12 | 2018 | 28 | |
| 13 | 2018 | 34 | |
| 14 | 2017 | 165 | |
| 15 | 2017 | 117 | |
| 16 | 2016 | 35 | |
| 17 | 2015 | 17 | |
| 18 | 2006 | 228 | |
| 19 | 2003 | 305 | |
| 20 | 1999 | 208 |
About Patrick A. Eyers
Patrick A. Eyers is a scholar working on Cell Biology, Aging, Molecular Biology, Spectroscopy and Oncology, having authored 97 papers that have together received 7.6k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (31 papers), Protein Kinase Regulation and GTPase Signaling (17 papers), Endoplasmic Reticulum Stress and Disease (15 papers), Ubiquitin and proteasome pathways (11 papers), Cancer-related Molecular Pathways (10 papers), Mass Spectrometry Techniques and Applications (9 papers), Advanced Proteomics Techniques and Applications (8 papers) and Photosynthetic Processes and Mechanisms (8 papers). The work is most often cited by research in Cell Biology (1.9k citations), Molecular Biology (4.9k citations), Computational Theory and Mathematics (1.1k citations), Oncology (1.4k citations) and Infectious Diseases (601 citations). Patrick A. Eyers has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Sudeep Pushpakom, Katherine J. Escott, Munir Pirmohamed, Tim Guilliams, Joanna Latimer, Andrew J. Doig, Christine J. McNamee, Philippe Sanséau, Alan Norris and David Cavalla. Their work appears in journals such as Biochemical Journal, Science Signaling, Journal of Biological Chemistry, Journal of Proteome Research and eLife.
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.