Fernando Carceller

119 papers receiving 2.3k citations

Peers

Fernando Carceller
Comparison fields: 5 of 115
  • Developmental Neuroscience 209
  • Neurology 308
  • Genetics 364
  • Cellular and Molecular Neuroscience 516
  • Neurology 289
Replace Simon Roussel with:
Simon Roussel France
Didier Divoux France
Zheng G. Zhang United States
Jérôme Toutain France
Edwige Petit France
Jae‐Kyu Roh South Korea
Shigetaka Yoshida Japan
Cecylia Powers United States
Ilker Y. Eyüpoglu Germany
Omolara O. Ogunshola Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Fernando Carceller

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Carceller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991196
2 2002133
3
Inhibition of fibroblast growth factor/fibroblast growth factor receptor activity in glioma cells impedes tumor growth by both angiogenesis-dependent and -independent mechanisms.
2001122
4 199898
5 200389
6 200486
7 199172
8 199662
9 199855
10 200154
11 200649
12 199845
13 200443
14 199542
15 199742
16
Fibroblast growth factor-1 prevents myocardial apoptosis triggered by ischemia reperfusion injury.
199740
17 201639
18 199538
19 199537
20 199336

About Fernando Carceller

Fernando Carceller is a scholar working on Molecular Biology, Genetics, Neurology, Cellular and Molecular Neuroscience and Neurology, having authored 125 papers that have together received 2.3k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (20 papers), Fibroblast Growth Factor Research (18 papers), Neurological Disease Mechanisms and Treatments (15 papers), Neuroblastoma Research and Treatments (12 papers), Cancer, Hypoxia, and Metabolism (10 papers), Neurological Disorders and Treatments (9 papers), Nitric Oxide and Endothelin Effects (8 papers) and Nerve injury and regeneration (7 papers). The work is most often cited by research in Developmental Neuroscience (209 citations), Neurology (308 citations), Genetics (364 citations), Cellular and Molecular Neuroscience (516 citations) and Neurology (289 citations). Fernando Carceller has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Pedro Cuevas, J.M. Roda, Guillermo Giménez‐Gallego, Diana Reimers, Exuperio Díez‐Tejedor, B. Cuevas, Manuel Dujovny, Ignacio García‐Gómez, Sagrario Ortega and Sebastián Cerdán. Their work appears in journals such as Neurological Research, Child s Nervous System, Pediatric Blood & Cancer, Neuro-Oncology and Journal of Pediatric Hematology/Oncology.

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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