J.P. Dillon

1.3k citations
27 papers · 813 · h-index 14

Impact in

  • Physiology top 2%
    • Adenosine and Purinergic Signaling
    • Osteoarthritis Treatment and Mechanisms

Papers in

    • RNA Interference and Gene Delivery 2
    • Metabolism, Diabetes, and Cancer 2
    • Osteoarthritis Treatment and Mechanisms 5
    • Bone Tumor Diagnosis and Treatments 2

J.P. Dillon

25 papers receiving 777 citations

Peers

J.P. Dillon
Comparison fields: 5 of 97
  • Physiology 142
  • Rheumatology 184
  • Clinical Biochemistry 80
  • Orthopedics and Sports Medicine 59
  • Equine 8
Replace Helen Beard with:
Helen Beard Australia
Alessia Ongaro Italy
Xia Mao United States
Yoko Yokoyama Japan
Guangyou Wang China
M.A. Birch United Kingdom
Kousuke Iba Japan
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David C. Buck United States
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Citations per field
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Citations per year

Countries citing papers authored by J.P. Dillon

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with J.P. Dillon Line = papers co-authored together J.P. Dillon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979260
2 1999103
3 200670
4 200369
5 200541
6 201141
7 201140
8 201629
9 201427
10 201624
11 200018
12 201618
13 202017
14 199115
15 200411
16 20199
17 20166
18 19854
19 20132
20 20212

About J.P. Dillon

J.P. Dillon is a scholar working on Molecular Biology, Rheumatology, Clinical Biochemistry, Oncology and Physiology, having authored 27 papers that have together received 813 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (6 papers), Osteoarthritis Treatment and Mechanisms (5 papers), Adenosine and Purinergic Signaling (4 papers), Bone health and treatments (4 papers), Inflammatory mediators and NSAID effects (2 papers), Bone Tumor Diagnosis and Treatments (2 papers), RNA Interference and Gene Delivery (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Physiology (142 citations), Rheumatology (184 citations), Clinical Biochemistry (80 citations), Orthopedics and Sports Medicine (59 citations) and Equine (8 citations). J.P. Dillon has collaborated with scholars based in United Kingdom, United States and Jordan. Frequent co-authors include Alice Maroudas, J Urban, Michael T. Bayliss, 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, Clinical Endocrinology and The FASEB Journal.

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.

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