Fernando Berrendero

6.8k citations
76 papers · 5.9k · h-index 43

Impact in

Papers in

Fernando Berrendero

75 papers receiving 5.8k citations

Peers

Fernando Berrendero
Comparison fields: 5 of 102
  • Pharmacology 3.7k
  • Cellular and Molecular Neuroscience 3.1k
  • Endocrine and Autonomic Systems 1.0k
  • Toxicology 322
  • Cognitive Neuroscience 1.3k
Replace Tiziana Rubino with:
Tiziana Rubino Italy
Paola Fadda Italy
Emmanuel Shan Onaivi United States
Ainhoa Bilbao Germany
Krisztina Monory Germany
Marcello Solinas France
Fabrício A. Moreira Brazil
A B Lynn United States
G Cossu Italy
Steven R. Laviolette Canada
Fernando Berrendero relative to Tiziana Rubino Italy Tiziana Rubino's profile →
Citations per field
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Tiziana Rubino · 1×
Citations per year

Countries citing papers authored by Fernando Berrendero

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Berrendero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006474
2 2000292
3 1999278
4 1999250
5 2002207
6 2001198
7 2002193
8 2009184
9 2000175
10 2000160
11 1998153
12 2010148
13 1997129
14 2010123
15 2005122
16 2002121
17 2014115
18 1998109
19 2002109
20 2004103

About Fernando Berrendero

Fernando Berrendero is a scholar working on Pharmacology, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Cognitive Neuroscience and Toxicology, having authored 76 papers that have together received 5.9k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (51 papers), Neurotransmitter Receptor Influence on Behavior (31 papers), Neuroscience and Neuropharmacology Research (24 papers), Sleep and Wakefulness Research (20 papers), Nicotinic Acetylcholine Receptors Study (11 papers), Sleep and related disorders (9 papers), Neuroscience of respiration and sleep (8 papers) and Pharmacological Receptor Mechanisms and Effects (7 papers). The work is most often cited by research in Pharmacology (3.7k citations), Cellular and Molecular Neuroscience (3.1k citations), Endocrine and Autonomic Systems (1.0k citations), Toxicology (322 citations) and Cognitive Neuroscience (1.3k citations). Fernando Berrendero has collaborated with scholars based in Spain, Italy and United States. Frequent co-authors include Rafaël Maldonado, Javier Fernández‐Ruíz, José Antonio Ramos, Olga Valverde, Julián Romero, Patricia Robledo, África Flores, Mariluz Hernández, Vincenzo Di Marzo and Elena Martín‐García. Their work appears in journals such as Journal of Neurochemistry, European Journal of Neuroscience, Psychopharmacology, Journal of Neuroscience and Neuropsychopharmacology.

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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