Pablo Fuentealba

2.9k citations
40 papers · 2.0k indexed · h-index 21
Topics
Neuroscience and Neuropharmacology Research (27 papers)Neural dynamics and brain function (19 papers)Memory and Neural Mechanisms (17 papers)

In The Last Decade

Pablo Fuentealba

38 papers receiving 2.0k citations

Peers

Pablo Fuentealba
Comparison fields: 5 of 97
  • Cellular and Molecular Neuroscience 1.5k
  • Cognitive Neuroscience 1.3k
  • Molecular Biology 343
  • Neurology 285
  • Developmental Neuroscience 156
Replace Tomonori Takeuchi with:
Tomonori Takeuchi Japan
Robin Tremblay United States
Csaba Földy United States
Roberto De Pasquale United States
Zsolt Borhegyi Hungary
Roman Fudim Germany
Brigitte Cosquer France
Georgia M. Alexander United States
Rosamund F. Langston United Kingdom
James A. Ainge United Kingdom
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Citations per field
00.5×1.5×
Tomonori Takeuchi · 1×
Citations per year

Countries citing papers authored by Pablo Fuentealba

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Fuentealba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pablo Fuentealba

This figure shows the co-authorship network connecting the top 25 collaborators of Pablo Fuentealba. A scholar is included among the top collaborators of Pablo Fuentealba based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pablo Fuentealba. Pablo Fuentealba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 10
4 21
5 16
6 16
7 20
8 19
9 20
10 33
11
EDUCACIÓN SECUNDARIA SEGREGADA POR SEXO: LO QUE SE ESCONDE DETRÁS DE LA «TRADICIÓN»
0
12 35
13 96
14 45
15 182
16 6
17 257
18 204
19 6
20 34

About Pablo Fuentealba

Pablo Fuentealba is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Developmental Neuroscience, having authored 40 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (27 papers), Neural dynamics and brain function (19 papers) and Memory and Neural Mechanisms (17 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Cognitive Neuroscience (1.3k citations) and Developmental Neuroscience (156 citations). Pablo Fuentealba has collaborated with scholars based in Chile, Canada and United Kingdom. Frequent co-authors include Mircea Steriade, Thomas Klausberger, Péter Somogyi, László F. Márton, Yannis Dalezios, Jozsef Csicsvari, Shozo Jinno, Katja Hartwich, John J. Tukker and Igor Timofeev. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

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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