John R. Muddle

2.1k citations
42 papers · 1.8k · h-index 27

Impact in

    • Hereditary Neurological Disorders
    • Nerve injury and regeneration
    • Genetic Neurodegenerative Diseases
  • Neurology top 5%
    • Botulinum Toxin and Related Neurological Disorders
    • Neurological diseases and metabolism

Papers in

John R. Muddle

42 papers receiving 1.7k citations

Peers

John R. Muddle
Comparison fields: 5 of 99
  • Cellular and Molecular Neuroscience 573
  • Neurology 222
  • Neurology 366
  • Physiology 512
  • Clinical Biochemistry 91
Replace Keiko Kamakura with:
Keiko Kamakura Japan
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Samuel Sam Wah Tay Singapore
E.M.G. Joosten Netherlands
Tomoya Terashima Japan
Annie Laquerrière France
Valentine Brussee Canada
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John R. Muddle relative to Keiko Kamakura Japan Keiko Kamakura's profile →
Citations per field
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Keiko Kamakura · 1×
Citations per year

Countries citing papers authored by John R. Muddle

Since Specialization
Citations

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

Fields of papers citing papers by John R. Muddle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John R. Muddle. 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 John R. Muddle. The network helps show where John R. Muddle may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006168
2 1991166
3 2004111
4 200285
5 201082
6 200678
7 200378
8 199565
9 199764
10 200061
11 199056
12 201153
13 201152
14 199548
15 198847
16 199345
17 200143
18 199140
19 201237
20 199736

About John R. Muddle

John R. Muddle is a scholar working on Cellular and Molecular Neuroscience, Neurology, Neurology, Physiology and Cardiology and Cardiovascular Medicine, having authored 42 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hereditary Neurological Disorders (11 papers), Botulinum Toxin and Related Neurological Disorders (9 papers), Neurological diseases and metabolism (9 papers), Nitric Oxide and Endothelin Effects (7 papers), Pain Mechanisms and Treatments (6 papers), Nerve injury and regeneration (6 papers), Mitochondrial Function and Pathology (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (573 citations), Neurology (222 citations), Neurology (366 citations), Physiology (512 citations) and Clinical Biochemistry (91 citations). John R. Muddle has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Rosalind H. M. King, Peter K. Thomas, Michael R. Dashwood, J. Llewelyn, Peter Watkins, Stephen G. Gilbey, J. L. Bradley, Rosalind H.M. King, Jan‐Willem Taanman and Ania Carolina Muntau. Their work appears in journals such as Acta Neuropathologica, Journal of Cardiovascular Pharmacology, Journal of Anatomy, Annals of Neurology and Diabetologia.

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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