Pascal DiScenna

3.2k citations
13 papers · 2.5k · 3 hit papers · h-index 11

Impact in

Papers in

Pascal DiScenna

13 papers receiving 2.4k citations

Pascal DiScenna's Hit Papers

Long-Term Potentiation 1987 · 675 citations
6750+13+26Years since publication200400600

Peers

Pascal DiScenna
Comparison fields: 5 of 96
  • Cellular and Molecular Neuroscience 1.8k
  • Cognitive Neuroscience 1.8k
  • Behavioral Neuroscience 152
  • Developmental Neuroscience 147
  • Neurology 244
Replace Thomas Durkin with:
Thomas Durkin France
James J. Chrobak United States
Jonathan Winson United States
Paul D. Coleman United States
Luis V. Colom United States
Bennet Givens United States
Gary Lynch United States
Hiroaki Niki Japan
Yves Gioanni France
Claude Destrade France
Pascal DiScenna relative to Thomas Durkin France Thomas Durkin's profile →
Citations per field
00.5×3.1×
Thomas Durkin · 1×
Citations per year

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-authors

The 6 scholars most cited alongside Pascal DiScenna, 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 Pascal DiScenna Line = papers co-authored together Pascal DiScenna links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
Long-Term Potentiation
Hit paper breakdown →
1987675
2
The hippocampal memory indexing theory.
Hit paper breakdown →
1986523
3
The hippocampal memory indexing theory.
Hit paper breakdown →
1986507
4 1984316
5 1985130
6 199487
7 198481
8 198866
9 199440
10 199417
11 199410
12 19937
13 19945

About Pascal DiScenna

Pascal DiScenna is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Developmental Neuroscience and Physiology, having authored 13 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (11 papers), Memory and Neural Mechanisms (7 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Neural dynamics and brain function (3 papers), Ion channel regulation and function (2 papers), Polyamine Metabolism and Applications (2 papers), Neuroscience and Neural Engineering (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (1.8k citations), Cognitive Neuroscience (1.8k citations), Behavioral Neuroscience (152 citations), Developmental Neuroscience (147 citations) and Neurology (244 citations). Pascal DiScenna has collaborated with scholars based in United States and Puerto Rico. Frequent co-authors include Timothy J. Teyler, Lawrence M. Grover, P.A. Ferchmin, Vesna A. Eterović, Alexander V. Nowicky and Albert M. Borroni. Their work appears in journals such as Brain Research, Hippocampus, Behavioral Neuroscience, Brain Research Reviews and Neuroscience & Biobehavioral Reviews.

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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