Nadia Frowd

480 total citations
9 papers, 164 citations indexed

About

Nadia Frowd is a scholar working on Pharmacology, Rheumatology and Physiology. According to data from OpenAlex, Nadia Frowd has authored 9 papers receiving a total of 164 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pharmacology, 4 papers in Rheumatology and 3 papers in Physiology. Recurrent topics in Nadia Frowd's work include Musculoskeletal pain and rehabilitation (5 papers), Osteoarthritis Treatment and Mechanisms (4 papers) and Pain Mechanisms and Treatments (3 papers). Nadia Frowd is often cited by papers focused on Musculoskeletal pain and rehabilitation (5 papers), Osteoarthritis Treatment and Mechanisms (4 papers) and Pain Mechanisms and Treatments (3 papers). Nadia Frowd collaborates with scholars based in United Kingdom. Nadia Frowd's co-authors include Joanne Stocks, Gwen Fernandes, Michael Doherty, Ana M. Valdes, David A. Walsh, Weiya Zhang, Laura Marshall, Kehinde Akin-Akinyosoye, Daniel F. McWilliams and Eamonn Ferguson and has published in prestigious journals such as Pain, Annals of the Rheumatic Diseases and Osteoarthritis and Cartilage.

In The Last Decade

Nadia Frowd

9 papers receiving 162 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nadia Frowd United Kingdom 5 73 56 43 40 26 9 164
Mahnuma Mahfuz Estee Australia 7 83 1.1× 83 1.5× 40 0.9× 46 1.1× 53 2.0× 21 203
Silvia Torres-Piles Spain 11 114 1.6× 23 0.4× 97 2.3× 25 0.6× 37 1.4× 23 462
Rebekah Harris United States 6 12 0.2× 15 0.3× 15 0.3× 64 1.6× 31 1.2× 14 192
Amanda Baskwill Canada 6 145 2.0× 7 0.1× 37 0.9× 14 0.3× 27 1.0× 17 262
Paraskevi Bilika Greece 5 134 1.8× 20 0.4× 84 2.0× 100 2.5× 31 1.2× 11 268
Filip Sabol Australia 6 82 1.1× 4 0.1× 30 0.7× 134 3.4× 15 0.6× 7 398
Luís Henrique Boiko Ferreira Brazil 7 52 0.7× 7 0.1× 20 0.5× 158 4.0× 8 0.3× 18 316
Mehmet Duray Türkiye 6 35 0.5× 6 0.1× 21 0.5× 14 0.3× 5 0.2× 18 81
Sanjog Pangarkar United States 9 160 2.2× 18 0.3× 47 1.1× 39 1.0× 47 1.8× 24 297
Tobias Saueressig Australia 9 97 1.3× 11 0.2× 29 0.7× 16 0.4× 63 2.4× 25 235

Countries citing papers authored by Nadia Frowd

Since Specialization
Citations

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

Fields of papers citing papers by Nadia Frowd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadia Frowd

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

All Works

9 of 9 papers shown
1.
Akin-Akinyosoye, Kehinde, Aliya Sarmanova, Gwen Fernandes, et al.. (2019). Baseline self-report ‘central mechanisms’ trait predicts persistent knee pain in the Knee Pain in the Community (KPIC) cohort. Osteoarthritis and Cartilage. 28(2). 173–181. 14 indexed citations
2.
Akin-Akinyosoye, Kehinde, Nadia Frowd, Laura Marshall, et al.. (2018). A clinical assessment tool to improve the use of pain relieving treatments in knee osteoarthritis. Osteoarthritis and Cartilage. 26. S231–S232. 1 indexed citations
3.
Akin-Akinyosoye, Kehinde, Nadia Frowd, Laura Marshall, et al.. (2018). Traits associated with central pain augmentation in the Knee Pain In the Community (KPIC) cohort. Pain. 159(6). 1035–1044. 33 indexed citations
4.
Burston, James J., Ana M. Valdes, Stephen G. Woodhams, et al.. (2018). The impact of anxiety on chronic musculoskeletal pain and the role of astrocyte activation. Pain. 160(3). 658–669. 50 indexed citations
5.
Sarmanova, Aliya, Sophie C. Warner, Hugh H. Richardson, et al.. (2017). SAT0670 The prevalence of neuropathic pain-like symptoms and associated risk factors in the nottingham community: a cross-sectional study. Annals of the Rheumatic Diseases. 76. 1028–1028. 1 indexed citations
6.
Fernandes, Gwen, Aliya Sarmanova, Sophie C. Warner, et al.. (2017). Knee pain and related health in the community study (KPIC): a cohort study protocol. BMC Musculoskeletal Disorders. 18(1). 404–404. 32 indexed citations
7.
Walker, Gemma, Sarah Armstrong, Adam Gordon, et al.. (2015). The Falls In Care Home study: a feasibility randomized controlled trial of the use of a risk assessment and decision support tool to prevent falls in care homes. Clinical Rehabilitation. 30(10). 972–983. 30 indexed citations
8.
Walker, Graeme M., Pip Logan, Adrienne Gordon, et al.. (2015). 45 * ARE ACCELEROMETERS A USEFUL WAY TO MEASURE ACTIVITY IN CARE HOME RESIDENTS?. Age and Ageing. 44(suppl 1). i12–i12. 1 indexed citations
9.
Logan, Pip, Gemma Walker, John Gladman, et al.. (2014). P497: A feasibility study of a cluster randomised controlled trial to evaluate a falls prevention intervention in care homes for older people. European Geriatric Medicine. 5. S240–S240. 2 indexed citations

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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