Javier Corchero

2.0k citations
27 papers · 1.8k · h-index 21

Impact in

Papers in

Javier Corchero

25 papers receiving 1.7k citations

Peers

Javier Corchero
Comparison fields: 5 of 85
  • Pharmacology 1.1k
  • Cellular and Molecular Neuroscience 866
  • Endocrine and Autonomic Systems 216
  • Toxicology 98
  • Pharmacology 167
Replace Martin Kaczocha with:
Martin Kaczocha United States
Tiziano Croci Italy
Josée Guindon United States
Michele K. McKinney United States
Oscar Sasso Italy
Jenny L. Wilkerson United States
Jesse LoVerme United States
Barbara Malinowska Poland
G. Néliat France
Susan M. Huang United States
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Citations per field
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Citations per year

Countries citing papers authored by Javier Corchero

Since Specialization
Citations

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

Fields of papers citing papers by Javier Corchero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999354
2 1999143
3 2001118
4 1998111
5 2001108
6 199992
7 199987
8 199881
9 200078
10 199776
11 200470
12 199968
13 199765
14 199963
15 200346
16 199845
17 199943
18 200441
19 199927
20 200422

About Javier Corchero

Javier Corchero is a scholar working on Pharmacology, Cellular and Molecular Neuroscience, Molecular Biology, Endocrine and Autonomic Systems and Toxicology, having authored 27 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (16 papers), Neurotransmitter Receptor Influence on Behavior (9 papers), Neuroscience and Neuropharmacology Research (7 papers), Forensic Toxicology and Drug Analysis (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Sleep and Wakefulness Research (2 papers), Regulation of Appetite and Obesity (2 papers) and Neuroscience of respiration and sleep (2 papers). The work is most often cited by research in Pharmacology (1.1k citations), Cellular and Molecular Neuroscience (866 citations), Endocrine and Autonomic Systems (216 citations), Toxicology (98 citations) and Pharmacology (167 citations). Javier Corchero has collaborated with scholars based in Spain, United States and Norway. Frequent co-authors include Jorge Manzanares, José A. Fuentes, Julián Romero, J.A. Ramos, Javier Fernández‐Ruíz, JoséA. Fuentes, Frank J. Gonzalez, Satish Pimprale, Fernando Berrendero and Shioko Kimura. Their work appears in journals such as Life Sciences, Brain Research, Journal of Psychopharmacology, Neuroendocrinology and Molecular Pharmacology.

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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