J.P. Dillon
Impact in
- Physiology top 2%
- Adenosine and Purinergic Signaling
- Rheumatology top 5%
- Osteoarthritis Treatment and Mechanisms
Papers in ⓘ
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- Adenosine and Purinergic Signaling 4
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- Metabolism and Genetic Disorders 5
- Co-authors
- J Urban (1 shared paper)Michael T. Bayliss (1 shared paper)Alice Maroudas (1 shared paper)James A. Gallagher (12 shared papers)Katherine M. Buckley (4 shared papers)J.A. Gallagher (10 shared papers)Alison Gartland (5 shared papers)Peter J. Wilson (10 shared papers)
- Journals
- Bone (6 papers)Osteoarthritis and Cartilage (3 papers)Lara D. Veeken (2 papers)Proceedings of the National Academy of Sciences (1 paper)Seminars in Cell and Developmental Biology (1 paper)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
J.P. Dillon
25 papers receiving 745 citations
Peers
Comparison fields: 5 of 98
- Physiology 135
- Rheumatology 181
- Clinical Biochemistry 76
- Orthopedics and Sports Medicine 68
- Equine 8
Countries citing papers authored by J.P. Dillon
This map shows the geographic impact of J.P. Dillon'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 J.P. Dillon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.P. Dillon more than expected).
Fields of papers citing papers by J.P. Dillon
This network shows the impact of papers produced by J.P. Dillon. 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 J.P. Dillon. The network helps show where J.P. Dillon may publish in the future.
Co-authors
The 25 scholars most cited alongside J.P. Dillon, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1979 | 237 | |
| 2 | 1999 | 101 | |
| 3 | 2006 | 68 | |
| 4 | 2003 | 65 | |
| 5 | 2011 | 40 | |
| 6 | 2011 | 39 | |
| 7 | 2005 | 37 | |
| 8 | 2014 | 27 | |
| 9 | 2016 | 26 | |
| 10 | 2016 | 23 | |
| 11 | 2016 | 17 | |
| 12 | 2020 | 16 | |
| 13 | 2000 | 15 | |
| 14 | 1991 | 13 | |
| 15 | 2004 | 11 | |
| 16 | 2019 | 8 | |
| 17 | 2016 | 6 | |
| 18 | 1985 | 4 | |
| 19 | 2018 | 2 | |
| 20 | 2013 | 2 |
About J.P. Dillon
J.P. Dillon is a scholar working on Physiology, Clinical Biochemistry, Rheumatology, Oncology and Molecular Biology, having authored 26 papers that have together received 764 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (5 papers), Osteoarthritis Treatment and Mechanisms (5 papers), Bone health and treatments (5 papers), Adenosine and Purinergic Signaling (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Mitochondrial Function and Pathology (3 papers), Metabolism, Diabetes, and Cancer (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Physiology (135 citations), Rheumatology (181 citations), Clinical Biochemistry (76 citations), Orthopedics and Sports Medicine (68 citations) and Equine (8 citations). J.P. Dillon has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include J Urban, Michael T. Bayliss, Alice Maroudas, James A. Gallagher, Katherine M. Buckley, J.A. Gallagher, Alison Gartland, Peter J. Wilson, William D. Fraser and L. Ranganath. Their work appears in journals such as Bone, Osteoarthritis and Cartilage, Lara D. Veeken, Proceedings of the National Academy of Sciences and Seminars in Cell and Developmental 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.