Mario Caba

85 papers receiving 1.6k citations

Peers

Mario Caba
Comparison fields: 5 of 112
  • Endocrine and Autonomic Systems 471
  • Behavioral Neuroscience 118
  • Social Psychology 462
  • Aging 33
  • Animal Science and Zoology 187
Replace David A. Blizard with:
David A. Blizard United States
Megan M. Mahoney United States
Olli Vakkuri Finland
María Serón‐Ferré Chile
Jean‐Claude Thiéry France
Dorothy W. Gietzen United States
Socorro Retana‐Márquez Mexico
Brianna N. Gaskill United States
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Matthew P. Butler United States
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Citations per year

Countries citing papers authored by Mario Caba

Since Specialization
Citations

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

Fields of papers citing papers by Mario Caba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202190
2 201562
3 200359
4 201352
5 201852
6 202250
7 200545
8 200944
9 200344
10 200842
11 201139
12 199638
13 199035
14 199432
15 201129
16 200828
17 199528
18 200328
19 200728
20 201827

About Mario Caba

Mario Caba is a scholar working on Endocrine and Autonomic Systems, Social Psychology, Cellular and Molecular Neuroscience, Health, Toxicology and Mutagenesis and Behavioral Neuroscience, having authored 88 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (31 papers), Circadian rhythm and melatonin (27 papers), Toxic Organic Pollutants Impact (14 papers), Pesticide Exposure and Toxicity (13 papers), Effects and risks of endocrine disrupting chemicals (11 papers), Neuropeptides and Animal Physiology (11 papers), Regulation of Appetite and Obesity (8 papers) and Rabbits: Nutrition, Reproduction, Health (8 papers). The work is most often cited by research in Endocrine and Autonomic Systems (471 citations), Behavioral Neuroscience (118 citations), Social Psychology (462 citations), Aging (33 citations) and Animal Science and Zoology (187 citations). Mario Caba has collaborated with scholars based in Mexico, United States and France. Frequent co-authors include Enrique Meza, Gabriela González‐Mariscal, Carlos Beyer, Stefan Marian Waliszewski, Carmen Valenzuela, Rae Silver, Claudia Juárez‐Portilla, Alberto Camacho‐Morales, Rubi Viveros Contreras and Rossana Citlali Zepeda. Their work appears in journals such as European Journal of Neuroscience, Bulletin of Environmental Contamination and Toxicology, Pharmacology Biochemistry and Behavior, Brain Research and Journal of Neuroendocrinology.

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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