Fernando Boix

1.7k citations
53 papers · 1.5k · h-index 24

Impact in

Papers in

Fernando Boix

52 papers receiving 1.5k citations

Peers

Fernando Boix
Comparison fields: 5 of 103
  • Cellular and Molecular Neuroscience 868
  • Behavioral Neuroscience 166
  • Toxicology 109
  • Endocrine and Autonomic Systems 116
  • Cognitive Neuroscience 285
Replace Giulia Costa with:
Giulia Costa Italy
Ashok K. Mehta United States
David V. Gauvin United States
Eyassu Chernet United States
Claudia Fracasso Italy
Joan M. Lakoski United States
Masahiko Funada Japan
Maciej Gąsior United States
Ying‐Jui Ho Taiwan
Emilio Fernández‐Espejo Spain
Fernando Boix relative to Giulia Costa Italy Giulia Costa's profile →
Citations per field
00.5×1.5×1.9×
Giulia Costa · 1×
Citations per year

Countries citing papers authored by Fernando Boix

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Boix

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996141
2 1991114
3 199381
4 200972
5 199571
6 201367
7 199259
8 198857
9 199853
10 200749
11 199344
12 199443
13 199141
14 201138
15 201536
16 199235
17 201432
18 199130
19 199028
20 199427

About Fernando Boix

Fernando Boix is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Physiology and Pharmacology, having authored 53 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (34 papers), Neuroscience and Neuropharmacology Research (19 papers), Neuropeptides and Animal Physiology (10 papers), Pain Mechanisms and Treatments (10 papers), Memory and Neural Mechanisms (8 papers), Receptor Mechanisms and Signaling (8 papers), Forensic Toxicology and Drug Analysis (6 papers) and Stress Responses and Cortisol (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (868 citations), Behavioral Neuroscience (166 citations), Toxicology (109 citations), Endocrine and Autonomic Systems (116 citations) and Cognitive Neuroscience (285 citations). Fernando Boix has collaborated with scholars based in Norway, Germany and Spain. Frequent co-authors include Rainer K.W. Schwarting, Jørg Mørland, Adolf Tobeña, Alberto Fernández‐Teruel, J.P. Huston, Vigdis Vindenes, Rosa M. Escorihuela, Jannike Mørch Andersen, Joseph P. Huston and Elisabeth Leere Øiestad. Their work appears in journals such as Pharmacology Biochemistry and Behavior, Behavioural Brain Research, British Journal of Pharmacology, Journal of Pharmacology and Experimental Therapeutics and European Journal of 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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