Fernando Barturen

966 citations
31 papers · 862 · h-index 13

Impact in

Papers in

Fernando Barturen

28 papers receiving 821 citations

Peers

Fernando Barturen
Comparison fields: 5 of 67
  • Cellular and Molecular Neuroscience 568
  • Biological Psychiatry 71
  • Behavioral Neuroscience 76
  • Molecular Biology 494
  • Pharmacology 88
Replace Takashige Nishikawa with:
Takashige Nishikawa Japan
Janel M. Boyce‐Rustay United States
Lucinda J. Steward United Kingdom
Raúl Martín‐Ruiz Spain
M Hauptmann Poland
Christelle Repérant France
Takashi Moroji Japan
Jan M. Mathé Sweden
G. Sacchetti Italy
James Maksymetz United States
Fernando Barturen relative to Takashige Nishikawa Japan Takashige Nishikawa's profile →
Citations per field
00.5×1.5×2.3×
Takashige Nishikawa · 1×
Citations per year

Countries citing papers authored by Fernando Barturen

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Barturen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Fernando Barturen, 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 Barturen Line = papers co-authored together Fernando Barturen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992152
2 1993137
3 199492
4 199368
5 199457
6 199254
7 199245
8 198942
9 199240
10 199337
11 198834
12 199629
13 199121
14 199810
15 19916
16 19996
17 20235
18 20004
19 19994
20 19984

About Fernando Barturen

Fernando Barturen is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cardiology and Cardiovascular Medicine, Epidemiology and Surgery, having authored 31 papers that have together received 862 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (14 papers), Receptor Mechanisms and Signaling (12 papers), Neurotransmitter Receptor Influence on Behavior (9 papers), Cardiac Structural Anomalies and Repair (4 papers), Congenital Heart Disease Studies (3 papers), Cardiac Valve Diseases and Treatments (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers) and Infective Endocarditis Diagnosis and Management (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (568 citations), Biological Psychiatry (71 citations), Behavioral Neuroscience (76 citations), Molecular Biology (494 citations) and Pharmacology (88 citations). Fernando Barturen has collaborated with scholars based in Spain, Czechia and United Kingdom. Frequent co-authors include J. Javier Meana, Jesús A. Garcı́a-Sevilla, J.A. García‐Sevilla, Iñaki Martín, Antonio Miralles, Gabriel Olmos, Magdalena Sastre, Ángel Pazos, Luís F. Callado and Ane M. Gabilondo. Their work appears in journals such as Journal of Neurochemistry, Journal of the American Society of Echocardiography, Journal of Pharmacology and Experimental Therapeutics, Biological Psychiatry and Psychopharmacology.

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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