Leonardo A. Molina

413 citations
16 papers · 240 indexed · h-index 7
Topics
Neural dynamics and brain function (6 papers)Memory and Neural Mechanisms (6 papers)Neuroscience and Neuropharmacology Research (5 papers)

In The Last Decade

Leonardo A. Molina

14 papers receiving 240 citations

Peers

Leonardo A. Molina
Comparison fields: 5 of 60
  • Cognitive Neuroscience 129
  • Cellular and Molecular Neuroscience 121
  • Molecular Biology 37
  • Neurology 28
  • Physiology 27
Replace Péter Gombkötő with:
Péter Gombkötő Hungary
Arghya Mukherjee United States
David L. Haggerty United States
Guoxiang Luo United States
Ananya Dasgupta Singapore
Meng‐Li Tsai Taiwan
Zachary Zeidler United States
Bastiaan van der Veen United Kingdom
Ricardo M. Neves Germany
Geoffrey A. Dilly United States
Leonardo A. Molina relative to Péter Gombkötő Hungary Péter Gombkötő's profile →
Citations per field
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Citations per year

Countries citing papers authored by Leonardo A. Molina

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo A. Molina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leonardo A. Molina. 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 Leonardo A. Molina. The network helps show where Leonardo A. Molina may publish in the future.

Co-authorship network of co-authors of Leonardo A. Molina

This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo A. Molina. A scholar is included among the top collaborators of Leonardo A. Molina 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 Leonardo A. Molina. Leonardo A. Molina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 1
2 2
3 4
4 0
5 6
6 0
7 42
8 3
9 46
10 14
11 32
12 7
13 2
14 2
15 50
16 29

About Leonardo A. Molina

Leonardo A. Molina is a scholar working on Behavioral Neuroscience, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 240 indexed citations. Recurring topics across this work include Neural dynamics and brain function (6 papers), Memory and Neural Mechanisms (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Cognitive Neuroscience (129 citations), Cellular and Molecular Neuroscience (121 citations) and Behavioral Neuroscience (15 citations). Leonardo A. Molina has collaborated with scholars based in Canada, United States and Belgium. Frequent co-authors include Ivan Skelin, Aaron J. Gruber, Bruce L. McNaughton, Vincent Bonin, Dun Mao, Shawn C. Moseley, Aaron A. Wilber, Patrick J. Whelan, Taylor Chomiak and Ádám Institóris. Their work appears in journals such as Nature Communications, PLoS ONE and Current Biology.

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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