Nuno Casanova

572 citations
33 papers · 404 · h-index 10

Impact in

Papers in

Nuno Casanova

27 papers receiving 393 citations

Peers

Nuno Casanova
Comparison fields: 5 of 58
  • Endocrine and Autonomic Systems 65
  • Physiology 178
  • Orthopedics and Sports Medicine 36
  • Clinical Psychology 64
  • Public Health, Environmental and Occupational Health 70
Replace Fernanda R. Goltz with:
Fernanda R. Goltz United Kingdom
Hannah Clarke United States
Kristin Goele Germany
Renate Kruschitz Austria
PA Tataranni United States
David M. Presby United States
C. A. Dueck United States
Pedro Del Corral United States
Hamish Osborne New Zealand
Jennalee Cord United States
Nuno Casanova relative to Fernanda R. Goltz United Kingdom Fernanda R. Goltz's profile →
Citations per field
00.5×
Fernanda R. Goltz · 1×
Citations per year

Countries citing papers authored by Nuno Casanova

Since Specialization
Citations

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

Fields of papers citing papers by Nuno Casanova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202075
2 201956
3 201943
4 201942
5 201741
6 202124
7 201317
8 200815
9 202011
10 202110
11 20209
12 20229
13 20067
14 20217
15 20197
16 20246
17 20225
18 20225
19 20234
20 20242

About Nuno Casanova

Nuno Casanova is a scholar working on Physiology, Orthopedics and Sports Medicine, Public Health, Environmental and Occupational Health, Endocrine and Autonomic Systems and Biomedical Engineering, having authored 33 papers that have together received 404 indexed citations. Recurring topics across this work include Sports Performance and Training (6 papers), Diet and metabolism studies (6 papers), Dietary Effects on Health (5 papers), Obesity, Physical Activity, Diet (4 papers), Adipose Tissue and Metabolism (4 papers), Regulation of Appetite and Obesity (4 papers), Sports injuries and prevention (4 papers) and Eating Disorders and Behaviors (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (65 citations), Physiology (178 citations), Orthopedics and Sports Medicine (36 citations), Clinical Psychology (64 citations) and Public Health, Environmental and Occupational Health (70 citations). Nuno Casanova has collaborated with scholars based in Portugal, United Kingdom and United States. Frequent co-authors include Mark Hopkins, Graham Finlayson, Kristine Beaulieu, John E. Blundell, Catherine Gibbons, R. James Stubbs, Cristiana Duarte, Pauline Oustric, Jake Turicchi and Krista A Varady. Their work appears in journals such as Physiology & Behavior, Journal of Nutrition, International Journal of Radiation Oncology*Biology*Physics, Sports and British Journal Of Nutrition.

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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