Frédéric Dollé

54 papers receiving 1.8k citations

Peers

Frédéric Dollé
Comparison fields: 5 of 97
  • Pharmaceutical Science 167
  • Cellular and Molecular Neuroscience 478
  • Developmental Neuroscience 99
  • Neurology 174
  • Radiology, Nuclear Medicine and Imaging 462
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Jinsoo Hong United States
Bertrand Kühnast France
Frederick T. Chin United States
Ming-Rong Zhang Japan
Stina Syvänen Sweden
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Citations per year

Countries citing papers authored by Frédéric Dollé

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Dollé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008218
2 2010160
3 2006131
4 1999117
5 2002111
6 2005108
7 1999102
8 200599
9 200482
10 199866
11 201646
12 200634
13 200432
14 200930
15 201829
16 201229
17 200326
18 201125
19 201024
20 199822

About Frédéric Dollé

Frédéric Dollé is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Neurology and Pharmaceutical Science, having authored 54 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (14 papers), Radiopharmaceutical Chemistry and Applications (12 papers), Neurotransmitter Receptor Influence on Behavior (12 papers), Receptor Mechanisms and Signaling (11 papers), Medical Imaging Techniques and Applications (8 papers), Nicotinic Acetylcholine Receptors Study (8 papers), Chemical Reactions and Isotopes (8 papers) and Parkinson's Disease Mechanisms and Treatments (8 papers). The work is most often cited by research in Pharmaceutical Science (167 citations), Cellular and Molecular Neuroscience (478 citations), Developmental Neuroscience (99 citations), Neurology (174 citations) and Radiology, Nuclear Medicine and Imaging (462 citations). Frédéric Dollé has collaborated with scholars based in France, United States and Australia. Frequent co-authors include Michel Bottlaender, Héric Valette, C. Crouzel, Michael Kassiou, Françoise Hinnen, Dirk Roeda, David Henderson, Michelle L. James, Roger Fulton and Françoise Vaufrey. Their work appears in journals such as Nuclear Medicine and Biology, Journal of Cerebral Blood Flow & Metabolism, Bioorganic & Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics and European Journal of Nuclear Medicine and Molecular Imaging.

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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