M. Dattilo

24 papers receiving 622 citations

Peers

M. Dattilo
Comparison fields: 5 of 82
  • Experimental and Cognitive Psychology 309
  • Endocrine and Autonomic Systems 100
  • Rehabilitation 77
  • Cognitive Neuroscience 172
  • Physiology 229
Replace Helton de Sá Souza with:
Helton de Sá Souza Brazil
Salma Abedelmalek Tunisia
Amy M. Bender Canada
Asma Aloui Tunisia
Daniel Hammes Germany
Khadijeh Irandoust Iran
Spencer Roberts Australia
Colin M. Robertson United Kingdom
Samuel A. Pullinger United Kingdom
Cheri D. Mah United States
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 2011206
2 200756
3 201150
4 201949
5 200744
6 201538
7 201325
8 201725
9 201722
10 201520
11 201519
12 201017
13 201215
14 200813
15
Conhecimento nutricional e sua associação com o índice de massa corporal
200910
16
Gender differences in the relationship of sleep pattern and body composition in healthy adults
20116
17 20106
18 20105
19
Trabalho em turnos e aspectos nutricionais: uma revisão
20093
20
Shift work and nutritional aspects: a review.
20093

About M. Dattilo

M. Dattilo is a scholar working on Cell Biology, Physiology, Rehabilitation, General Health Professions and Public Health, Environmental and Occupational Health, having authored 24 papers that have together received 638 indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (9 papers), Exercise and Physiological Responses (6 papers), Health and Lifestyle Studies (5 papers), Obesity, Physical Activity, Diet (5 papers), Adipose Tissue and Metabolism (5 papers), Sleep and Wakefulness Research (4 papers), Muscle Physiology and Disorders (4 papers) and Sleep and related disorders (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (309 citations), Endocrine and Autonomic Systems (100 citations), Rehabilitation (77 citations), Cognitive Neuroscience (172 citations) and Physiology (229 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, Ioná Zalcman Zimberg and Jim Waterhouse. Their work appears in journals such as Chronobiology International, Muscle & Nerve, Growth Factors, Nutrition Research Reviews and Amino Acids.

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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