F. Valverde

5.8k citations
75 papers · 5.2k · h-index 39

Impact in

Papers in

F. Valverde

73 papers receiving 4.9k citations

Peers

F. Valverde
Comparison fields: 5 of 125
  • Developmental Neuroscience 1.5k
  • Sensory Systems 902
  • Cellular and Molecular Neuroscience 3.5k
  • Cognitive Neuroscience 1.7k
  • Neurology 568
Replace Herbert P. Killackey with:
Herbert P. Killackey United States
María E. Rubio United States
Marla B. Luskin United States
P. Streit Switzerland
Theodor Blackstad Norway
George F. Martin United States
Thomas A. Woolsey United States
James W. Hinds United States
Martha Constantine‐Paton United States
Tadaharu Tsumoto Japan
F. Valverde relative to Herbert P. Killackey United States Herbert P. Killackey's profile →
Citations per field
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Herbert P. Killackey · 1×
Citations per year

Countries citing papers authored by F. Valverde

Since Specialization
Citations

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

Fields of papers citing papers by F. Valverde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside F. Valverde, 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 F. Valverde Line = papers co-authored together F. Valverde links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996367
2 1970319
3 1968272
4 1962271
5 1992232
6 1961229
7 1995228
8 1971213
9 1980212
10 1989163
11 1971154
12 1966146
13 1973132
14 1988129
15 1991110
16 2002103
17 1987101
18 1973101
19 198692
20 197887

About F. Valverde

F. Valverde is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Molecular Biology, Cognitive Neuroscience and Sensory Systems, having authored 75 papers that have together received 5.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (26 papers), Neurogenesis and neuroplasticity mechanisms (25 papers), Olfactory and Sensory Function Studies (18 papers), Neural dynamics and brain function (16 papers), Photoreceptor and optogenetics research (12 papers), Axon Guidance and Neuronal Signaling (11 papers), Retinal Development and Disorders (9 papers) and Visual perception and processing mechanisms (6 papers). The work is most often cited by research in Developmental Neuroscience (1.5k citations), Sensory Systems (902 citations), Cellular and Molecular Neuroscience (3.5k citations), Cognitive Neuroscience (1.7k citations) and Neurology (568 citations). F. Valverde has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Laura López‐Mascaraque, Juan Carlos, Marı́a Santacana, Margarita Heredia, Alberto González Fairén, Almudena Ramón‐Cueto, José A. Rafols, Antonio Ruiz‐Marcos, David F. Jimenez and Constantino Sotelo. Their work appears in journals such as The Journal of Comparative Neurology, Developmental Brain Research, Neuroscience, Brain Research and Journal of Neurocytology.

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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