Daniel Velázquez‐Díaz

21 papers receiving 192 citations

Peers

Daniel Velázquez‐Díaz
Comparison fields: 5 of 63
  • Health Informatics 5
  • Complementary and alternative medicine 26
  • Physiology 74
  • Geriatrics and Gerontology 9
  • Rehabilitation 16
Replace Satoshi Kurose with:
Satoshi Kurose Japan
Juan Corral‐Pérez Spain
Takudzwa A. Madzima United States
Scott A. Willis United Kingdom
Camila L. P. Oliveira Canada
Fernanda Maria Martins Brazil
Takashi Nakagata Japan
Clifton J. Holmes United States
D. Kutzner Germany
Andrea M. Brennan Canada
Daniel Velázquez‐Díaz relative to Satoshi Kurose Japan Satoshi Kurose's profile →
Citations per field
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Satoshi Kurose · 1×
Citations per year

Countries citing papers authored by Daniel Velázquez‐Díaz

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Velázquez‐Díaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Velázquez‐Díaz. 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 Daniel Velázquez‐Díaz. The network helps show where Daniel Velázquez‐Díaz may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202122
2 202120
3 202016
4 202316
5 202113
6 202312
7 20219
8 20239
9 20239
10 20209
11 20199
12 20209
13 20238
14 20237
15 20237
16 20227
17 20214
18 20233
19 20232
20 20232

About Daniel Velázquez‐Díaz

Daniel Velázquez‐Díaz is a scholar working on Physiology, Public Health, Environmental and Occupational Health, Complementary and alternative medicine, Cell Biology and Endocrine and Autonomic Systems, having authored 25 papers that have together received 194 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Cardiovascular and exercise physiology (5 papers), Physical Activity and Health (5 papers), Obesity, Physical Activity, Diet (4 papers), Muscle metabolism and nutrition (4 papers), Behavioral Health and Interventions (2 papers), Nutritional Studies and Diet (2 papers) and Lower Extremity Biomechanics and Pathologies (2 papers). The work is most often cited by research in Health Informatics (5 citations), Complementary and alternative medicine (26 citations), Physiology (74 citations), Geriatrics and Gerontology (9 citations) and Rehabilitation (16 citations). Daniel Velázquez‐Díaz has collaborated with scholars based in Spain, United States and Chile. Frequent co-authors include Jesús Gustavo Ponce‐González, Juan Corral‐Pérez, Alejandro Pérez‐Bey, David Jiménez‐Pavón, Magdalena Cuenca‐García, Cristina Casals, Francisco J. Amaro‐Gahete, Alejandro Galán-Mercant, Félix Gómez‐Gallego and Carmen Fiuza‐Luces. Their work appears in journals such as International Journal of Environmental Research and Public Health, Frontiers in Physiology, Nutrients, European Journal of Sport Science and European Journal of Pediatrics.

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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