David Parry

102 papers receiving 3.1k citations

Peers

David Parry
Comparison fields: 5 of 184
  • Rehabilitation 218
  • Structural Biology 44
  • Aging 53
  • Genetics 280
  • Cellular and Molecular Neuroscience 442
Replace Yves Gauthier with:
Yves Gauthier France
Tony Collins United Kingdom
Benjamin Winter Germany
David W. Maughan United States
Stasia A. Anderson United States
Hideyuki Ishida Japan
Sarah Baatout Belgium
Marcel Ameloot Belgium
Mark A. Hill United Kingdom
David Parry relative to Yves Gauthier France Yves Gauthier's profile →
Citations per field
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Yves Gauthier · 1×
Citations per year

Countries citing papers authored by David Parry

Since Specialization
Citations

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

Fields of papers citing papers by David Parry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995404
2 1994276
3 1992207
4 2005197
5 1994183
6 2002143
7 1992125
8 1991119
9 2005116
10 1996115
11 199392
12 196969
13 198267
14 196761
15 199454
16 200452
17 196848
18 199646
19 199044
20 198144

About David Parry

David Parry is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Mechanics of Materials, Materials Chemistry and Cellular and Molecular Neuroscience, having authored 108 papers that have together received 3.4k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (31 papers), High-Velocity Impact and Material Behavior (11 papers), Cardiomyopathy and Myosin Studies (11 papers), Muscle activation and electromyography studies (10 papers), Energetic Materials and Combustion (8 papers), Electromagnetic Launch and Propulsion Technology (7 papers), Adipose Tissue and Metabolism (6 papers) and Exercise and Physiological Responses (6 papers). The work is most often cited by research in Rehabilitation (218 citations), Structural Biology (44 citations), Aging (53 citations), Genetics (280 citations) and Cellular and Molecular Neuroscience (442 citations). David Parry has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Joseph D. Rosenblatt, Terence A. Partridge, David Yong, Bruce Campbell, B. D. Powell, K. T. V. Grattan, T.L. Yeo, Tong Sun, R. Lade and Linda Griffiths. Their work appears in journals such as Experimental Neurology, Canadian Journal of Physiology and Pharmacology, Muscle & Nerve, American Journal of Physiology-Cell Physiology and FEBS Letters.

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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