F. Dollé

734 citations
25 papers · 607 · h-index 15

Impact in

Papers in

F. Dollé

25 papers receiving 595 citations

Peers

F. Dollé
Comparison fields: 5 of 83
  • Pharmaceutical Science 91
  • Radiology, Nuclear Medicine and Imaging 257
  • Neurology 80
  • Biological Psychiatry 16
  • Cellular and Molecular Neuroscience 105
Replace Fabrice G. Siméon with:
Fabrice G. Siméon United States
Talakad G. Lohith United States
Kenneth Dahl Sweden
Vadim Bernard‐Gauthier Canada
Eric D. Hostetler United States
Farah Shah United Kingdom
Andrew Katsifis Australia
Kim Serdons Belgium
Kazuhiko Yanamoto Japan
Cyrille Thominiaux France
F. Dollé relative to Fabrice G. Siméon United States Fabrice G. Siméon's profile →
Citations per field
00.5×1.5×
Fabrice G. Siméon · 1×
Citations per year

Countries citing papers authored by F. Dollé

Since Specialization
Citations

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

Fields of papers citing papers by F. Dollé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007136
2 200849
3 200047
4 200344
5 201442
6 201633
7 200631
8 200329
9 200721
10 200321
11 200320
12 200619
13 199718
14 200517
15 201615
16 200413
17 200313
18
Quality control in the production of radiopharmaceuticals
201812
19 20158
20 20028

About F. Dollé

F. Dollé is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Pharmaceutical Science and Organic Chemistry, having authored 25 papers that have together received 607 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (8 papers), Radiopharmaceutical Chemistry and Applications (5 papers), DNA and Nucleic Acid Chemistry (5 papers), Fluorine in Organic Chemistry (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Lanthanide and Transition Metal Complexes (3 papers) and Nicotinic Acetylcholine Receptors Study (3 papers). The work is most often cited by research in Pharmaceutical Science (91 citations), Radiology, Nuclear Medicine and Imaging (257 citations), Neurology (80 citations), Biological Psychiatry (16 citations) and Cellular and Molecular Neuroscience (105 citations). F. Dollé has collaborated with scholars based in France, Australia and Italy. Frequent co-authors include Bertrand Tavitian, Françoise Hinnen, R. Trébossen, M.-C. Grégoire, Cyrille Thominiaux, Hervé Boutin, Michael Kassiou, Fabien Chauveau, Michael L. James and Michel Bottlaender. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Journal of Labelled Compounds and Radiopharmaceuticals, IEEE Transactions on Medical Imaging, Tetrahedron and Journal of Nuclear Medicine.

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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