James Melrose

191 papers receiving 7.0k citations

James Melrose's Hit Papers

Are animal models useful for studying human disc disorders/degeneration? 2007 · 580 citations
5800+6+12Years since publication100200300400500

Peers

James Melrose
Comparison fields: 5 of 137
  • Pathology and Forensic Medicine 2.3k
  • Cell Biology 2.1k
  • Immunology and Allergy 536
  • Rheumatology 1.3k
  • Pharmacology 1.1k
Replace Shiro Ikegawa with:
Shiro Ikegawa Japan
Leena Ala‐Kokko Finland
Keith G. Danielson United States
Victor C. Duance United Kingdom
Michael T. Bayliss United Kingdom
Frank Beier Canada
Laura B. Creemers Netherlands
J Urban United Kingdom
Bruce Caterson United Kingdom
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Citations per year

Countries citing papers authored by James Melrose

Since Specialization
Citations

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

Fields of papers citing papers by James Melrose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 198 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Are animal models useful for studying human disc disorders/degeneration?
Hit paper breakdown →
2007580
2 2008217
3 2018173
4 2011162
5 2002147
6 2006135
7 2002129
8 2020125
9 1999121
10 2015117
11 1996116
12 2005115
13 2014114
14 2001113
15 1992105
16 200896
17 200791
18 201090
19 201389
20 202287

About James Melrose

James Melrose is a scholar working on Cell Biology, Molecular Biology, Pathology and Forensic Medicine, Rheumatology and Genetics, having authored 198 papers that have together received 7.1k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (88 papers), Spine and Intervertebral Disc Pathology (61 papers), Osteoarthritis Treatment and Mechanisms (45 papers), Glycosylation and Glycoproteins Research (26 papers), Connective tissue disorders research (25 papers), Cell Adhesion Molecules Research (20 papers), Tendon Structure and Treatment (19 papers) and Musculoskeletal pain and rehabilitation (17 papers). The work is most often cited by research in Pathology and Forensic Medicine (2.3k citations), Cell Biology (2.1k citations), Immunology and Allergy (536 citations), Rheumatology (1.3k citations) and Pharmacology (1.1k citations). James Melrose has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include John M. Whitelock, Christopher B. Little, Susan M. Smith, Anthony J. Hayes, Peter Ghosh, Margaret M. Smith, Cindy C. Shu, Megan S. Lord, T.K.F. Taylor and Bruce Caterson. Their work appears in journals such as International Journal of Molecular Sciences, European Spine Journal, Histochemistry and Cell Biology, Spine and Analytical Biochemistry.

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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