Fernando Berrendero

6.7k citations
76 papers · 5.9k · h-index 43

Impact in

Papers in

Fernando Berrendero

74 papers receiving 5.7k citations

Peers

Fernando Berrendero
Comparison fields: 5 of 99
  • Pharmacology 3.7k
  • Cellular and Molecular Neuroscience 3.1k
  • Endocrine and Autonomic Systems 996
  • Toxicology 322
  • Cognitive Neuroscience 1.3k
Replace Tiziana Rubino with:
Tiziana Rubino Italy
Paola Fadda Italy
Emmanuel S. Onaivi United States
Gianluigi Tanda United States
Jonathon C. Arnold Australia
Marcello Solinas France
J.A. Ramos Spain
Krisztina Monory Germany
Tiziana Antonelli Italy
Fabrício A. Moreira Brazil
Fernando Berrendero relative to Tiziana Rubino Italy Tiziana Rubino's profile →
Citations per field
00.5×1.5×1.9×
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 2006473
2 2000288
3 1999277
4 1999248
5 2002206
6 2001198
7 2002191
8 2009183
9 2000173
10 2000157
11 1998151
12 2010150
13 1997128
14 2002121
15 2010121
16 2005120
17 2014114
18 1998111
19 2002108
20 2004103

About Fernando Berrendero

Fernando Berrendero is a scholar working on Pharmacology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology and Endocrine and Autonomic Systems, 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 Circadian rhythm and melatonin (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 (996 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, J.A. 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, Trends in Neurosciences and Journal of Neuroscience.

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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