Matthew Wade

40 papers receiving 362 citations

Peers

Matthew Wade
Comparison fields: 5 of 72
  • Ophthalmology 58
  • Endocrinology, Diabetes and Metabolism 64
  • Applied Psychology 17
  • Radiology, Nuclear Medicine and Imaging 69
  • Physiology 66
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Jiali Duan China
Amritendu Bhattacharya India
Robyn Sayner United States
Laura Kierol Andrews United States
Abdolmehdi Baghaei Iran
Érika Veruska Paiva Ortolan Brazil
Souvik Banerjee United States
Michela Tomelini Italy
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Cláudia Ciceri Cesa Brazil
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Citations per year

Countries citing papers authored by Matthew Wade

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Wade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200973
2 201341
3 201928
4 202521
5 202020
6 201818
7 201617
8 202014
9 202013
10 201812
11 202310
12
The Association of Golf Participation With Health and Wellbeing: A Comparative Study
202010
13 20078
14 20197
15 20217
16 20197
17 20187
18 20196
19 20206
20 20246

About Matthew Wade

Matthew Wade is a scholar working on Physiology, Radiology, Nuclear Medicine and Imaging, Complementary and alternative medicine, Ophthalmology and Speech and Hearing, having authored 43 papers that have together received 386 indexed citations. Recurring topics across this work include Physical Activity and Health (11 papers), Corneal surgery and disorders (6 papers), Cardiovascular and exercise physiology (4 papers), Ocular Infections and Treatments (2 papers), Intraocular Surgery and Lenses (2 papers), Child Development and Digital Technology (2 papers), Mobile Health and mHealth Applications (2 papers) and Obesity, Physical Activity, Diet (2 papers). The work is most often cited by research in Ophthalmology (58 citations), Endocrinology, Diabetes and Metabolism (64 citations), Applied Psychology (17 citations), Radiology, Nuclear Medicine and Imaging (69 citations) and Physiology (66 citations). Matthew Wade has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Steven Mann, Marjan Farid, Sumit Garg, Ninet Sinaii, Lynnette K. Nieman, Karim A. Calis, Hershel Raff, Smita K. Baid, James P. Steele and Robert James Copeland. Their work appears in journals such as Medicine & Science in Sports & Exercise, Cornea, Journal of Physical Activity and Health, Journal of Public Health and Journal of Cataract & Refractive Surgery.

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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