Javier Cabrera

32 papers receiving 1.7k citations

Peers

Javier Cabrera
Comparison fields: 5 of 113
  • Endocrine and Autonomic Systems 952
  • Biological Psychiatry 150
  • Aging 94
  • Biochemistry 94
  • Behavioral Neuroscience 49
Replace M. D. Mediavilla with:
M. D. Mediavilla Spain
Dun Xian Tan United States
V. Srinivasan United States
Rina Recchioni Italy
Maria Josefa Rodríguez‐Colunga Spain
Manuel Macı́as Spain
Francisco Ortiz Spain
M. T. Agapito Spain
Javier Espino Spain
Carlos Martínez‐Campa Spain
Javier Cabrera relative to M. D. Mediavilla Spain M. D. Mediavilla's profile →
Citations per field
00.5×1.5×
M. D. Mediavilla · 1×
Citations per year

Countries citing papers authored by Javier Cabrera

Since Specialization
Citations

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

Fields of papers citing papers by Javier Cabrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999284
2 1999235
3 1999154
4 1999104
5 199997
6 199989
7 200086
8 201085
9 200183
10 200778
11 201357
12 200752
13 201152
14 201643
15 200143
16 200324
17 200023
18 200022
19 200121
20 200220

About Javier Cabrera

Javier Cabrera is a scholar working on Endocrine and Autonomic Systems, Molecular Biology, Organic Chemistry, Biochemistry and Physiology, having authored 32 papers that have together received 1.8k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (19 papers), Antioxidant Activity and Oxidative Stress (6 papers), Free Radicals and Antioxidants (6 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Olfactory and Sensory Function Studies (3 papers), Coenzyme Q10 studies and effects (3 papers), Biochemical effects in animals (3 papers) and Birth, Development, and Health (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (952 citations), Biological Psychiatry (150 citations), Aging (94 citations), Biochemistry (94 citations) and Behavioral Neuroscience (49 citations). Javier Cabrera has collaborated with scholars based in United States, Spain and Poland. Frequent co-authors include Rüssel J. Reiter, Rosa M. Sáinz, Dun‐Xian Tan, Joaquín J. García, Lucien C. Manchester, Dun‐Xian Tan, Juan C. Mayo, Daniele D’Arpa, José Quintana and Juan Francisco Loro-Ferrer. Their work appears in journals such as Journal of Pineal Research, Reproduction, Journal of Cellular Biochemistry, Cancer Letters and Journal of Bioenergetics and Biomembranes.

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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