Mark Hopkinson

665 citations
33 papers · 487 · h-index 12

Impact in

Papers in

    • Muscle Physiology and Disorders 5
    • Bone Metabolism and Diseases 5
    • Wnt/β-catenin signaling in development and cancer 2
    • Osteoarthritis Treatment and Mechanisms 5

Mark Hopkinson

31 papers receiving 483 citations

Peers

Mark Hopkinson
Comparison fields: 5 of 75
  • Orthopedics and Sports Medicine 72
  • Rheumatology 87
  • Endocrinology, Diabetes and Metabolism 78
  • Equine 5
  • Molecular Biology 198
Replace Chandrasekhar Kesavan with:
Chandrasekhar Kesavan United States
L. Sudre France
Jeanne M. Franzone United States
Brianne S Thicke United States
Nusrat Khan United Kingdom
Janine Wagenstaller Germany
Phillip T. Newton Sweden
Ayami Kondo Japan
Régis Blaise France
Naoko Ikematsu Japan
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Citations per field
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Citations per year

Countries citing papers authored by Mark Hopkinson

Since Specialization
Citations

This map shows the geographic impact of Mark Hopkinson'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 Hopkinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Hopkinson more than expected).

Fields of papers citing papers by Mark Hopkinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Hopkinson. 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 Hopkinson. The network helps show where Mark Hopkinson may publish in the future.

Co-authors

The 25 scholars most cited alongside Mark Hopkinson, 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 Mark Hopkinson Line = papers co-authored together Mark Hopkinson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015119
2 201749
3 201538
4 201732
5 201526
6 201721
7 202021
8 201818
9 201618
10 202215
11 199613
12 202113
13 202011
14 201511
15 20199
16 20228
17 20208
18 20247
19 20206
20 20166

About Mark Hopkinson

Mark Hopkinson is a scholar working on Molecular Biology, Rheumatology, Orthopedics and Sports Medicine, Oncology and Endocrinology, Diabetes and Metabolism, having authored 33 papers that have together received 487 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (5 papers), Bone health and osteoporosis research (5 papers), Muscle Physiology and Disorders (5 papers), Bone Metabolism and Diseases (5 papers), Connective tissue disorders research (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Bone fractures and treatments (2 papers) and Tendon Structure and Treatment (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (72 citations), Rheumatology (87 citations), Endocrinology, Diabetes and Metabolism (78 citations), Equine (5 citations) and Molecular Biology (198 citations). Mark Hopkinson has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Andrew A. Pitsillides, Behzâd Javaheri, Chantal Chenu, Marie Pereira, Pascale Chavassieux, Isabel R. Orriss, Jean‐Paul Roux, Mark E. Cleasby, Jeshmi Jeyabalan and B. Poulet. Their work appears in journals such as Osteoarthritis and Cartilage, Bone, PLoS ONE, Endocrinology and Human Molecular Genetics.

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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