Marc Peschanski

15.1k citations
240 papers · 12.8k · h-index 64

Impact in

Papers in

Marc Peschanski

232 papers receiving 12.2k citations

Peers

Marc Peschanski
Comparison fields: 5 of 153
  • Developmental Neuroscience 1.7k
  • Cellular and Molecular Neuroscience 6.3k
  • Neurology 2.5k
  • Neurology 910
  • Molecular Biology 6.1k
Replace Mark P. Armanini with:
Mark P. Armanini United States
Elior Peles Israel
Angelo Quattrini Italy
Isabel Fariñas Spain
Robert Gordon Kalb United States
Ernest Arenas Sweden
Mark A. Bothwell United States
R. Jeroen Pasterkamp Netherlands
Roberto Spreafico Italy
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Citations per field
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Citations per year

Countries citing papers authored by Marc Peschanski

Since Specialization
Citations

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

Fields of papers citing papers by Marc Peschanski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marc Peschanski, 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 Marc Peschanski Line = papers co-authored together Marc Peschanski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 240 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993474
2 2000381
3 2014296
4 2003286
5 2006278
6 1997271
7 2008248
8 1994245
9 1996225
10 1991207
11 2009207
12 2004199
13 2013197
14 2008182
15 1980180
16 1988159
17 1996159
18 1993156
19 2004147
20 1991139

About Marc Peschanski

Marc Peschanski is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Neurology, Molecular Biology and Genetics, having authored 240 papers that have together received 12.8k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (55 papers), Neuroscience and Neuropharmacology Research (49 papers), Neurogenesis and neuroplasticity mechanisms (41 papers), Genetic Neurodegenerative Diseases (39 papers), Neurological disorders and treatments (37 papers), Nerve injury and regeneration (37 papers), CRISPR and Genetic Engineering (31 papers) and Parkinson's Disease Mechanisms and Treatments (17 papers). The work is most often cited by research in Developmental Neuroscience (1.7k citations), Cellular and Molecular Neuroscience (6.3k citations), Neurology (2.5k citations), Neurology (910 citations) and Molecular Biology (6.1k citations). Marc Peschanski has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Jean‐Marie Besson, Philippe Hantraye, Pierre Césaro, Isabelle Dusart, Serge Marty, Gisèle Guilbaud, Michéle Gautron, Henry J. Ralston, Philippe Rémy and Anselme L. Perrier. Their work appears in journals such as Neuroscience, Brain Research, Experimental Neurology, Pain and The Journal of Comparative Neurology.

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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