Javier Alves

20 papers receiving 393 citations

Peers

Javier Alves
Comparison fields: 5 of 68
  • Pathology and Forensic Medicine 146
  • Dermatology 68
  • Nutrition and Dietetics 95
  • Rehabilitation 32
  • Health, Toxicology and Mutagenesis 63
Replace Tulasi Ponnapakkam with:
Tulasi Ponnapakkam United States
Mehmet Gamsızkan Türkiye
E. Ball United Kingdom
Eric G. Verwiebe United States
S Imanaka Japan
Laura Tío Spain
Gemma Pérez Canada
Weijie Zhong China
Carine Winkler Switzerland
Amit Shah United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Javier Alves

Since Specialization
Citations

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

Fields of papers citing papers by Javier Alves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200584
2 200775
3 201039
4 201831
5 201828
6 201920
7 201720
8 201814
9 201814
10 202013
11 201111
12 201810
13 202010
14 20208
15 20208
16 20214
17 20243
18 20212
19 20242
20 20101

About Javier Alves

Javier Alves is a scholar working on Nutrition and Dietetics, Health, Toxicology and Mutagenesis, Cell Biology, Pathology and Forensic Medicine and Molecular Biology, having authored 21 papers that have together received 397 indexed citations. Recurring topics across this work include Trace Elements in Health (9 papers), Heavy Metal Exposure and Toxicity (7 papers), Muscle metabolism and nutrition (6 papers), Exercise and Physiological Responses (4 papers), Lymphoma Diagnosis and Treatment (3 papers), Fatty Acid Research and Health (2 papers), Vitamin D Research Studies (2 papers) and Sports Performance and Training (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (146 citations), Dermatology (68 citations), Nutrition and Dietetics (95 citations), Rehabilitation (32 citations) and Health, Toxicology and Mutagenesis (63 citations). Javier Alves has collaborated with scholars based in Spain, United States and Norway. Frequent co-authors include Marcos Maynar-Mariño, Diego Muñoz, María Concepción Robles Gil, Francisco Javier Grijota Pérez, Ignacio Bartolomé, Javier Benı́tez, Emiliano Honrado, Beatriz Martı́nez-Delgado, Marta Cuadros and Giovanna Roncador. Their work appears in journals such as Journal of the International Society of Sports Nutrition, International Journal of Environmental Research and Public Health, Journal of Trace Elements in Medicine and Biology, Blood and Nutrients.

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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