Peter J. Lyons
Impact in
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- Protease and Inhibitor Mechanisms
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- Microtubule and mitosis dynamics
Papers in
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- Protease and Inhibitor Mechanisms 9
- Oncology 6
- Peptidase Inhibition and Analysis 6
- Co-authors
- Lloyd D. Fricker (11 shared papers)Jungsil Ro (4 shared papers)Aleixo M. Muise (2 shared papers)Myrasol B. Callaway (1 shared paper)Matthew R. Sapio (3 shared papers)Koji Ikegami (2 shared papers)Iryna Berezniuk (2 shared papers)Mitsutoshi Setou (2 shared papers)
- Journals
- Journal of Biological Chemistry (8 papers)PLoS ONE (2 papers)Scientific Reports (1 paper)Proteins Structure Function and Bioinformatics (1 paper)Frontiers in Molecular Biosciences (1 paper)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Peter J. Lyons
20 papers receiving 546 citations
Peers
Comparison fields: 5 of 69
- Cancer Research 85
- Cell Biology 62
- Oncology 66
- Cellular and Molecular Neuroscience 45
- Psychiatry and Mental health 49
Countries citing papers authored by Peter J. Lyons
This map shows the geographic impact of Peter J. Lyons'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 Peter J. Lyons with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter J. Lyons more than expected).
Fields of papers citing papers by Peter J. Lyons
This network shows the impact of papers produced by Peter J. Lyons. 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 Peter J. Lyons. The network helps show where Peter J. Lyons may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter J. Lyons, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 113 | |
| 2 | 2011 | 77 | |
| 3 | 2008 | 51 | |
| 4 | 2007 | 41 | |
| 5 | 2013 | 37 | |
| 6 | 2011 | 35 | |
| 7 | 2010 | 33 | |
| 8 | 2011 | 30 | |
| 9 | 2013 | 26 | |
| 10 | 2010 | 21 | |
| 11 | 2012 | 17 | |
| 12 | 2018 | 17 | |
| 13 | 2006 | 14 | |
| 14 | 2011 | 13 | |
| 15 | 2004 | 12 | |
| 16 | 2023 | 9 | |
| 17 | 2018 | 4 | |
| 18 | 2020 | 4 | |
| 19 | 2022 | 1 | |
| 20 | 2024 | 1 |
About Peter J. Lyons
Peter J. Lyons is a scholar working on Cancer Research, Oncology, Cell Biology, Physiology and Molecular Biology, having authored 21 papers that have together received 556 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (9 papers), Peptidase Inhibition and Analysis (6 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Adipose Tissue and Metabolism (3 papers), Epilepsy research and treatment (2 papers), Microtubule and mitosis dynamics (2 papers), Genetic and Kidney Cyst Diseases (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). The work is most often cited by research in Cancer Research (85 citations), Cell Biology (62 citations), Oncology (66 citations), Cellular and Molecular Neuroscience (45 citations) and Psychiatry and Mental health (49 citations). Peter J. Lyons has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Lloyd D. Fricker, Jungsil Ro, Aleixo M. Muise, Myrasol B. Callaway, Matthew R. Sapio, Koji Ikegami, Iryna Berezniuk, Mitsutoshi Setou, Hui Xiao and Juan Sironi. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE, Scientific Reports, Proteins Structure Function and Bioinformatics and Frontiers in Molecular Biosciences.
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.