Tony Mets

137 papers receiving 5.4k citations

Peers

Tony Mets
Comparison fields: 5 of 160
  • Geriatrics and Gerontology 708
  • Physical Therapy, Sports Therapy and Rehabilitation 414
  • Rehabilitation 517
  • Physiology 1.9k
  • Psychiatry and Mental health 838
Replace Angelo Di Iorio with:
Angelo Di Iorio Italy
Marc Bonnefoy France
Lorenzo M. Donini Italy
Enzo Manzato Italy
Benedetta Bartali United States
Elisabeth F. C. van Rossum Netherlands
Nathalie de Rekeneire United States
Claudio Macchi Italy
Ivan Bautmans Belgium
M. Pahor United States
Tony Mets relative to Angelo Di Iorio Italy Angelo Di Iorio's profile →
Citations per field
00.5×1.5×1.8×
Angelo Di Iorio · 1×
Citations per year

Countries citing papers authored by Tony Mets

Since Specialization
Citations

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

Fields of papers citing papers by Tony Mets

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011331
2 2011265
3 2005251
4 2011149
5 2004135
6 1996126
7 2010119
8 2017114
9 2007113
10 2008109
11 198195
12 201495
13 200594
14 201294
15 201289
16 201085
17 200085
18 199780
19 201076
20 200576

About Tony Mets

Tony Mets is a scholar working on Physiology, Psychiatry and Mental health, Molecular Biology, Rehabilitation and Geriatrics and Gerontology, having authored 141 papers that have together received 5.6k indexed citations. Recurring topics across this work include Nutrition and Health in Aging (20 papers), Dementia and Cognitive Impairment Research (15 papers), Heat shock proteins research (14 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (13 papers), Exercise and Physiological Responses (11 papers), Olfactory and Sensory Function Studies (8 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers) and thermodynamics and calorimetric analyses (7 papers). The work is most often cited by research in Geriatrics and Gerontology (708 citations), Physical Therapy, Sports Therapy and Rehabilitation (414 citations), Rehabilitation (517 citations), Physiology (1.9k citations) and Psychiatry and Mental health (838 citations). Tony Mets has collaborated with scholars based in Belgium, Netherlands and Germany. Frequent co-authors include Ivan Bautmans, Rose Njemini, Ellen Gorus, Ingo Beyer, Margareta Lambert, Christian Demanet, Jean‐Claude Lemper, G Verdonk, C. Demanet and D.L. Massart. Their work appears in journals such as Experimental Gerontology, Archives of Gerontology and Geriatrics, The Journals of Gerontology Series A, BMC Geriatrics and Planta Medica.

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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