Fernando Galán

23 papers receiving 402 citations

Peers

Fernando Galán
Comparison fields: 5 of 82
  • General Health Professions 183
  • Leadership and Management 5
  • Research and Theory 3
  • Clinical Psychology 63
  • Pathology and Forensic Medicine 48
Replace Randi Bilberg with:
Randi Bilberg Denmark
Kosuke Mafune Japan
Mayra C. Santiago United States
Noelia María Martín Espinosa Spain
Małgorzata Starczyńska Poland
Jill J. Leckey Australia
Amy B. Sullivan United States
K P Sivaraman Nair India
Mohammad Nazzal Jordan
Xue-ming Cheng China
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Citations per year

Countries citing papers authored by Fernando Galán

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Galán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011160
2 201375
3 201146
4 201544
5 202124
6 198912
7 202110
8 20159
9 20239
10 20169
11 20236
12 20155
13 20244
14 20243
15 20203
16 20232
17 20222
18 20221
19 19891
20 20231

About Fernando Galán

Fernando Galán is a scholar working on Psychiatry and Mental health, Cellular and Molecular Neuroscience, Molecular Biology, Neurology and Pediatrics, Perinatology and Child Health, having authored 28 papers that have together received 429 indexed citations. Recurring topics across this work include Epilepsy research and treatment (12 papers), Neuroscience and Neuropharmacology Research (3 papers), Pharmacological Effects and Toxicity Studies (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Neonatal and fetal brain pathology (2 papers), Healthcare professionals’ stress and burnout (2 papers), Neurological disorders and treatments (2 papers) and Neurogenetic and Muscular Disorders Research (2 papers). The work is most often cited by research in General Health Professions (183 citations), Leadership and Management (5 citations), Research and Theory (3 citations), Clinical Psychology (63 citations) and Pathology and Forensic Medicine (48 citations). Fernando Galán has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include J. Polo, Lucas Giner, Pedro Bullón, Blanca Ríos‐Carrasco, JV Ríos-Santos, Douglas R. Nordli, J. Ribas, David Cotán, Isabel de Lavera and José A. Sánchez‐Alcázar. Their work appears in journals such as Epileptic Disorders, Current Treatment Options in Neurology, Clinical Rheumatology, Pediatric Neurology and The Journal of Pediatrics.

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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