M.‐F. Chesselet

2.8k citations
32 papers · 2.5k · h-index 25

Impact in

Papers in

M.‐F. Chesselet

32 papers receiving 2.4k citations

Peers

M.‐F. Chesselet
Comparison fields: 5 of 91
  • Cellular and Molecular Neuroscience 1.9k
  • Developmental Neuroscience 244
  • Neurology 570
  • Neurology 185
  • Molecular Biology 1.2k
Replace D.C. German with:
D.C. German United States
JB Penney United States
Annette Vigny France
Elizabeth O’Hearn United States
Elliott J. Mufson United States
John B. Penney United States
Robert P. Yasuda United States
Donald L. Price United States
Gustavo Dziewczapolski United States
Fredrik Asztély Sweden
M.‐F. Chesselet relative to D.C. German United States D.C. German's profile →
Citations per field
00.5×1.7×
D.C. German · 1×
Citations per year

Countries citing papers authored by M.‐F. Chesselet

Since Specialization
Citations

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

Fields of papers citing papers by M.‐F. Chesselet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.‐F. Chesselet. 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 M.‐F. Chesselet. The network helps show where M.‐F. Chesselet may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984538
2 2008187
3 1998157
4 1984141
5 1986130
6 1996116
7 1991102
8 2012101
9 199899
10 199295
11 199488
12 198276
13 199067
14 199663
15 198261
16 198961
17 199460
18 199058
19 199746
20 200142

About M.‐F. Chesselet

M.‐F. Chesselet is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Molecular Biology, Behavioral Neuroscience and Neurology, having authored 32 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (16 papers), Receptor Mechanisms and Signaling (10 papers), Neurotransmitter Receptor Influence on Behavior (8 papers), Neuropeptides and Animal Physiology (8 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Genetic Neurodegenerative Diseases (4 papers), Pharmacological Receptor Mechanisms and Effects (3 papers) and Neurological disorders and treatments (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.9k citations), Developmental Neuroscience (244 citations), Neurology (570 citations), Neurology (185 citations) and Molecular Biology (1.2k citations). M.‐F. Chesselet has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Ann M. Graybiel, DAVID S. NELSON, BethAnn McLaughlin, Maria Erecińska, Marianne Mercugliano, Catherine Lubetzki, Jacques Glowinski, Julie A. Napieralski, Jean‐Jacques Soghomonian and Cathleen Gonzales. Their work appears in journals such as Neuroscience, The Journal of Comparative Neurology, Neurogastroenterology & Motility, Molecular Pharmacology and Journal of Pharmacology and Experimental Therapeutics.

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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