Frédéric Cassé

1.1k citations
24 papers · 871 · h-index 15

Impact in

Papers in

Frédéric Cassé

24 papers receiving 863 citations

Peers

Frédéric Cassé
Comparison fields: 5 of 83
  • Developmental Neuroscience 255
  • Neurology 213
  • Biological Psychiatry 51
  • Cellular and Molecular Neuroscience 297
  • Behavioral Neuroscience 50
Replace Anupama Sathyamurthy with:
Anupama Sathyamurthy United States
Bula J. Bhattacharyya United States
Roberta Parolisi Italy
Noah M. Walton United States
Anne Aumont Canada
Mu Sun China
Esperanza R. Matarredona Spain
Thierry Janet France
Thomas C. Brionne Switzerland
Daehoon Lee United States
Frédéric Cassé relative to Anupama Sathyamurthy United States Anupama Sathyamurthy's profile →
Citations per field
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Anupama Sathyamurthy · 1×
Citations per year

Countries citing papers authored by Frédéric Cassé

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Cassé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015214
2 201884
3 201874
4 201264
5 201154
6 201853
7 200949
8 202147
9 201528
10 201426
11 201325
12 202123
13 202219
14 201917
15 202214
16 201614
17 202312
18 202311
19 201611
20 202110

About Frédéric Cassé

Frédéric Cassé is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Rheumatology, Developmental Neuroscience and Neurology, having authored 24 papers that have together received 871 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (9 papers), Osteoarthritis Treatment and Mechanisms (8 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Extracellular vesicles in disease (3 papers), Ubiquitin and proteasome pathways (3 papers), Mesenchymal stem cell research (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Developmental Neuroscience (255 citations), Neurology (213 citations), Biological Psychiatry (51 citations), Cellular and Molecular Neuroscience (297 citations) and Behavioral Neuroscience (50 citations). Frédéric Cassé has collaborated with scholars based in France, Switzerland and Netherlands. Frequent co-authors include Nicolas Toni, Kevin Richetin, Elias Gebara, Jonathan Moss, Stéphane Martin, Francesco Petrelli, Jan Lopatář, Frank W. Pfrieger, Sébastien Sultan and Paola Bezzi. Their work appears in journals such as International Journal of Molecular Sciences, Nature Communications, Frontiers in Cellular Neuroscience, Neuron and Frontiers in Veterinary Science.

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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