Pascal DiScenna

3.2k total citations · 3 hit papers
13 papers, 2.5k citations indexed

About

Pascal DiScenna is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Pascal DiScenna has authored 13 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 9 papers in Cognitive Neuroscience and 4 papers in Molecular Biology. Recurrent topics in Pascal DiScenna's work include Neuroscience and Neuropharmacology Research (11 papers), Memory and Neural Mechanisms (7 papers) and Neural dynamics and brain function (3 papers). Pascal DiScenna is often cited by papers focused on Neuroscience and Neuropharmacology Research (11 papers), Memory and Neural Mechanisms (7 papers) and Neural dynamics and brain function (3 papers). Pascal DiScenna collaborates with scholars based in United States and Puerto Rico. Pascal DiScenna's co-authors include Timothy J. Teyler, Lawrence M. Grover, P.A. Ferchmin, Vesna A. Eterović, Alexander V. Nowicky and Albert M. Borroni and has published in prestigious journals such as Annual Review of Neuroscience, Brain Research and Neuroscience & Biobehavioral Reviews.

In The Last Decade

Pascal DiScenna

13 papers receiving 2.4k citations

Hit Papers

Long-Term Potentiation 1986 2026 1999 2012 1987 1986 1986 200 400 600

Peers

Pascal DiScenna
Comparison fields: 5 of 96
  • Cellular and Molecular Neuroscience 1.9k
  • Cognitive Neuroscience 1.8k
  • Molecular Biology 447
  • Neurology 249
  • Behavioral Neuroscience 152
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Citations per field, relative to Pascal DiScenna
Pascal DiScenna · 1×
Citations per year, relative to Pascal DiScenna
Pascal DiScenna · 1×

Countries citing papers authored by Pascal DiScenna

Since Specialization
Citations

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

Fields of papers citing papers by Pascal DiScenna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pascal DiScenna

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

All Works

13 of 13 papers shown
# Work Indexed citations
1 17
2 10
3 40
4 5
5 87
6 7
7 66
8
Long-Term Potentiation breakdown →
675
9
The hippocampal memory indexing theory. breakdown →
518
10
The hippocampal memory indexing theory. breakdown →
507
11 130
12 81
13 315

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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