Jonathan D Rees

2.5k citations
24 papers · 1.9k · h-index 15

Impact in

Papers in

Jonathan D Rees

23 papers receiving 1.8k citations

Peers

Jonathan D Rees
Comparison fields: 5 of 111
  • Orthopedics and Sports Medicine 1.3k
  • Surgery 736
  • Equine 25
  • Rehabilitation 61
  • Rheumatology 115
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Antal Réffy Finland
Guang-Chun Dai China
Yau‐Chuk Cheuk Hong Kong
Yoshinori Kasashima Japan
Moritz Klein Germany
Carlos A Acosta-Olivo Mexico
Richard D. J. Smith United States
Miriam L. Estin United States
Mikio Tsuda Japan
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Countries citing papers authored by Jonathan D Rees

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan D Rees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan D Rees. 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 Jonathan D Rees. The network helps show where Jonathan D Rees may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006372
2 2009272
3 2013216
4 2019184
5 2005152
6 2013145
7 2019127
8 2008115
9 201971
10 200868
11 200560
12 200124
13 201220
14 200920
15 201616
16 201410
17 20138
18 20257
19 20124
20
Characterising the convergence of a stochastic simulation model using the bootstrap method
20111

About Jonathan D Rees

Jonathan D Rees is a scholar working on Orthopedics and Sports Medicine, Rheumatology, Surgery, Cell Biology and Management Science and Operations Research, having authored 24 papers that have together received 1.9k indexed citations. Recurring topics across this work include Tendon Structure and Treatment (13 papers), Shoulder Injury and Treatment (10 papers), Sports injuries and prevention (8 papers), Spondyloarthritis Studies and Treatments (4 papers), Myofascial pain diagnosis and treatment (3 papers), Rheumatoid Arthritis Research and Therapies (3 papers), Plant Micronutrient Interactions and Effects (2 papers) and Plant nutrient uptake and metabolism (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (1.3k citations), Surgery (736 citations), Equine (25 citations), Rehabilitation (61 citations) and Rheumatology (115 citations). Jonathan D Rees has collaborated with scholars based in United Kingdom, Australia and Netherlands. Frequent co-authors include Roger Wolman, Alan M. Wilson, Jill L. Cook, Nicola Maffulli, Alex Scott, Matthew Stride, J. Andrew C. Smith, Robert A. Ingle, Malcolm M. Campbell and Sam T. Mugford. Their work appears in journals such as British Journal of Sports Medicine, Lara D. Veeken, Plant Biotechnology Journal, The Plant Cell and Advances in experimental medicine and 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.

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