Alejandro Bayón

1.1k citations
30 papers · 1.0k · h-index 14

Impact in

Papers in

Alejandro Bayón

29 papers receiving 931 citations

Peers

Alejandro Bayón
Comparison fields: 5 of 94
  • Cellular and Molecular Neuroscience 647
  • Behavioral Neuroscience 108
  • Endocrine and Autonomic Systems 134
  • Reproductive Medicine 83
  • Social Psychology 204
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D H Lowenstein United States
Vladimir Karpitskiy United States
A. Bayón Spain
S. Joseph United States
Devin M. Barry United States
Maria E. Costa United States
Jennifer J. Tuscher United States
Carlos Arámburo Mexico
Naoya Kataoka Japan
D.W. Scheuermann Belgium
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Citations per field
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Citations per year

Countries citing papers authored by Alejandro Bayón

Since Specialization
Citations

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

Fields of papers citing papers by Alejandro Bayón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979248
2 1979194
3 1977132
4 200873
5 200646
6 198046
7 197838
8 198129
9 200629
10
In vivo perfusion and release of neuroactive substances : methods and strategies
198522
11 200920
12 201119
13 198316
14 198714
15 199713
16 198612
17 200710
18 19749
19 20178
20 19848

About Alejandro Bayón

Alejandro Bayón is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Ophthalmology, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (11 papers), Receptor Mechanisms and Signaling (9 papers), Neuroscience and Neuropharmacology Research (5 papers), Chemical Synthesis and Analysis (5 papers), Cardiovascular Conditions and Treatments (5 papers), Glaucoma and retinal disorders (3 papers), Hypothalamic control of reproductive hormones (3 papers) and Veterinary Medicine and Surgery (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (647 citations), Behavioral Neuroscience (108 citations), Endocrine and Autonomic Systems (134 citations), Reproductive Medicine (83 citations) and Social Psychology (204 citations). Alejandro Bayón has collaborated with scholars based in Spain, United States and Mexico. Frequent co-authors include Floyd E. Bloom, Roger Guillemin, Jean Rossier, William J. Shoemaker, Elena Battenberg, Leonard Y. Koda, Nicholas Ling, Quentin J. Pittman, Richard Miller and Therese Vargo. Their work appears in journals such as Journal of Veterinary Internal Medicine, Brain Research, Veterinary Radiology & Ultrasound, Veterinary Ophthalmology and Peptides.

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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