J. Denise Power

103 total papers · 1.7k total citations
47 papers, 1.2k citations indexed

About

J. Denise Power is a scholar working on Rheumatology, Pharmacology and Surgery. According to data from OpenAlex, J. Denise Power has authored 47 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Rheumatology, 14 papers in Pharmacology and 12 papers in Surgery. Recurrent topics in J. Denise Power's work include Osteoarthritis Treatment and Mechanisms (18 papers), Musculoskeletal pain and rehabilitation (9 papers) and Rheumatoid Arthritis Research and Therapies (7 papers). J. Denise Power is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (18 papers), Musculoskeletal pain and rehabilitation (9 papers) and Rheumatoid Arthritis Research and Therapies (7 papers). J. Denise Power collaborates with scholars based in Canada, Australia and United States. J. Denise Power's co-authors include Elizabeth M. Badley, Anthony V. Perruccio, Gillian Hawker, Melissa French, Mayilée Cañizares, Nizar N. Mahomed, Aileen M. Davis, Sara Sanders, Rajiv Gandhi and Monique A. M. Gignac and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

J. Denise Power

43 papers receiving 1.2k citations

Hit Papers

Osteoarthritis year in re... 2023 2026 2024 2023 20 40 60

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
J. Denise Power 512 423 301 248 165 47 1.2k
Ernest R. Vina 795 1.6× 352 0.8× 383 1.3× 104 0.4× 116 0.7× 40 1.5k
Elaine Nicholls 668 1.3× 495 1.2× 454 1.5× 214 0.9× 149 0.9× 64 1.3k
Milica Bucknall 694 1.4× 258 0.6× 454 1.5× 88 0.4× 158 1.0× 54 1.5k
Şehim Kutlay 252 0.5× 246 0.6× 162 0.5× 477 1.9× 93 0.6× 53 1.3k
Michael A. Boring 654 1.3× 257 0.6× 287 1.0× 205 0.8× 116 0.7× 32 1.5k
Johanna E Vriezekolk 532 1.0× 139 0.3× 270 0.9× 207 0.8× 225 1.4× 81 1.4k
Suzan van der Pas 310 0.6× 201 0.5× 160 0.5× 147 0.6× 299 1.8× 53 1.4k
Dilek Durmuş 383 0.7× 284 0.7× 222 0.7× 233 0.9× 49 0.3× 48 1.1k
Eva Ekvall Hansson 196 0.4× 352 0.8× 215 0.7× 203 0.8× 176 1.1× 95 1.4k
Norelee Kennedy 348 0.7× 286 0.7× 65 0.2× 197 0.8× 162 1.0× 96 1.2k

Countries citing papers authored by J. Denise Power

Since Specialization
Citations

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

Fields of papers citing papers by J. Denise Power

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Denise Power

This figure shows the co-authorship network connecting the top 25 collaborators of J. Denise Power. A scholar is included among the top collaborators of J. Denise Power 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 J. Denise Power. J. Denise Power is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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