Mark Fahey
Impact in
- Parasitology top 10%
- Leptospirosis research and findings
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- Neurogenesis and neuroplasticity mechanisms
Papers in
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- TGF-β signaling in diseases 2
- Protein Degradation and Inhibitors 1
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- Nerve injury and regeneration 3
- Co-authors
- Jenifer Coburn (2 shared papers)Ann K. Rosenthal (4 shared papers)Claudia M. Gohr (3 shared papers)Stephen B. McMahon (2 shared papers)Shelley Allen (5 shared papers)Judy J. Watson (3 shared papers)Antony R. Young (1 shared paper)D. Dawbarn (1 shared paper)
- Journals
- Journal of Pharmacology and Experimental Therapeutics (1 paper)The Journal of Rheumatology (1 paper)Pain (1 paper)Infection and Immunity (1 paper)Connective Tissue Research (1 paper)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Mark Fahey
13 papers receiving 415 citations
Peers
Comparison fields: 5 of 82
- Parasitology 69
- Developmental Neuroscience 31
- Cellular and Molecular Neuroscience 117
- Rheumatology 62
- Nephrology 28
Countries citing papers authored by Mark Fahey
This map shows the geographic impact of Mark Fahey'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 Mark Fahey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Fahey more than expected).
Fields of papers citing papers by Mark Fahey
This network shows the impact of papers produced by Mark Fahey. 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 Mark Fahey. The network helps show where Mark Fahey may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Fahey, 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 | 2007 | 75 | |
| 2 | 2008 | 68 | |
| 3 | 2001 | 53 | |
| 4 | 2010 | 41 | |
| 5 | 2008 | 39 | |
| 6 | 2009 | 38 | |
| 7 | 2015 | 29 | |
| 8 | 2006 | 24 | |
| 9 | 2007 | 23 | |
| 10 | 2008 | 12 | |
| 11 | 2009 | 10 | |
| 12 | 2014 | 9 | |
| 13 | 2001 | 1 |
About Mark Fahey
Mark Fahey is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 422 indexed citations. Recurring topics across this work include Nerve injury and regeneration (3 papers), TGF-β signaling in diseases (2 papers), Leptospirosis research and findings (2 papers), Pain Mechanisms and Treatments (2 papers), Protein Degradation and Inhibitors (1 paper), Genetic factors in colorectal cancer (1 paper), Osteoarthritis Treatment and Mechanisms (1 paper) and Connective tissue disorders research (1 paper). The work is most often cited by research in Parasitology (69 citations), Developmental Neuroscience (31 citations), Cellular and Molecular Neuroscience (117 citations), Rheumatology (62 citations) and Nephrology (28 citations). Mark Fahey has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Jenifer Coburn, Ann K. Rosenthal, Claudia M. Gohr, Stephen B. McMahon, Shelley Allen, Judy J. Watson, Antony R. Young, D. Dawbarn, David Dawbarn and Thomas Bishop. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, The Journal of Rheumatology, Pain, Infection and Immunity and Connective Tissue 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.