David J. Cassidy

5.9k total citations
46 papers, 2.0k citations indexed

About

David J. Cassidy is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Pharmacology. According to data from OpenAlex, David J. Cassidy has authored 46 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Materials Chemistry, 11 papers in Electrical and Electronic Engineering and 8 papers in Pharmacology. Recurrent topics in David J. Cassidy's work include Musculoskeletal pain and rehabilitation (8 papers), Nuclear materials and radiation effects (8 papers) and Advanced Condensed Matter Physics (5 papers). David J. Cassidy is often cited by papers focused on Musculoskeletal pain and rehabilitation (8 papers), Nuclear materials and radiation effects (8 papers) and Advanced Condensed Matter Physics (5 papers). David J. Cassidy collaborates with scholars based in Australia, Canada and France. David J. Cassidy's co-authors include Pierre Côté, Linda Carroll, Vicki L. Kristman, J.L. Woolfrey, John R. Bartlett, Kim S. Finnie, E. R. Vance, Sophie Soklaridis, Carlo Ammendolia and Bruno A. Latella and has published in prestigious journals such as Advanced Functional Materials, Langmuir and Journal of Materials Chemistry.

In The Last Decade

David J. Cassidy

45 papers receiving 1.9k citations

Peers

David J. Cassidy
Comparison fields: 5 of 142
  • Pharmacology 881
  • Materials Chemistry 587
  • Pathology and Forensic Medicine 336
  • Surgery 281
  • Psychiatry and Mental health 212
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David A. Rice United Kingdom View profile →
Citations per field, relative to David J. Cassidy
David J. Cassidy · 1×
Citations per year, relative to David J. Cassidy
David J. Cassidy · 1×

Countries citing papers authored by David J. Cassidy

Since Specialization
Citations

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

Fields of papers citing papers by David J. Cassidy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David J. Cassidy

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Cassidy. A scholar is included among the top collaborators of David J. Cassidy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David J. Cassidy. David J. Cassidy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 23
2 58
3
Perlite Waste As A Precursor For Geopolymer Formation
15
4 19
5 113
6 88
7 14
8
Best evidence synthesis on Mild Traumatic Brain Injury : Results of the WHO collaborating centre for neurotrauma prevention, management and rehabilitation task force on Mild Traumatic Brain Injury
8
9 466
10 283
11 22
12 130
13 1
14 1
15 43
16 34
17 92
18 0
19
Congential dislocation of the hip and adult low back pain: a report of three cases.
1
20 24

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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