M. Dattilo

24 papers receiving 642 citations

Peers

M. Dattilo
Comparison fields: 5 of 84
  • Experimental and Cognitive Psychology 283
  • Endocrine and Autonomic Systems 80
  • Rehabilitation 62
  • Physiology 172
  • Cognitive Neuroscience 124
Replace Helton de Sá Souza with:
Helton de Sá Souza Brazil
Amy M. Bender Canada
Asma Aloui Tunisia
Khadijeh Irandoust Iran
Spencer Roberts Australia
Ian C. Dunican Australia
Colin M. Robertson United Kingdom
Daniel Hammes Germany
Cheri D. Mah United States
Samuel A. Pullinger United Kingdom
M. Dattilo relative to Helton de Sá Souza Brazil Helton de Sá Souza's profile →
Citations per field
00.5×1.6×
Helton de Sá Souza · 1×
Citations per year

Countries citing papers authored by M. Dattilo

Since Specialization
Citations

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

Fields of papers citing papers by M. Dattilo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside M. Dattilo, 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 M. Dattilo Line = papers co-authored together M. Dattilo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011214
2 200758
3 201953
4 201151
5 200745
6 201539
7 201726
8 201726
9 201325
10 201520
11 201519
12 201017
13 201215
14 200813
15
Conhecimento nutricional e sua associação com o índice de massa corporal
200911
16 20116
17 20106
18 20105
19
Shift work and nutritional aspects: a review.
20093
20
Trabalho em turnos e aspectos nutricionais: uma revisão
20093

About M. Dattilo

M. Dattilo is a scholar working on Cell Biology, Physiology, General Health Professions, Rehabilitation and Public Health, Environmental and Occupational Health, having authored 24 papers that have together received 661 indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (8 papers), Obesity, Physical Activity, Diet (5 papers), Exercise and Physiological Responses (5 papers), Health and Lifestyle Studies (5 papers), Sleep and Wakefulness Research (3 papers), Muscle Physiology and Disorders (3 papers), Sleep and related disorders (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (283 citations), Endocrine and Autonomic Systems (80 citations), Rehabilitation (62 citations), Physiology (172 citations) and Cognitive Neuroscience (124 citations). M. Dattilo has collaborated with scholars based in Brazil, United Kingdom and Canada. Frequent co-authors include Marco Túlio de Mello, Sérgio Tufik, Hanna Karen Moreira Antunes, Alessandra Medeiros, Marcos Mônico‐Neto, Cibele Aparecida Crispim, Kil Sun Lee, Helton de Sá Souza, Jim Waterhouse and Ioná Zalcman Zimberg. Their work appears in journals such as Applied Physiology Nutrition and Metabolism, Chronobiology International, Medicine & Science in Sports & Exercise, Frontiers in Physiology and Nutrition Research Reviews.

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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