Raphaël Boisgard

2.3k citations
55 papers · 1.8k · h-index 25

Impact in

Papers in

Raphaël Boisgard

55 papers receiving 1.8k citations

Peers

Raphaël Boisgard
Comparison fields: 5 of 98
  • Neurology 250
  • Biological Psychiatry 48
  • Radiology, Nuclear Medicine and Imaging 374
  • Cellular and Molecular Neuroscience 203
  • Oncology 263
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Wilman Luk United States
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Ludovic Collin Switzerland
Andreas H. Jacobs Germany
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Citations per year

Countries citing papers authored by Raphaël Boisgard

Since Specialization
Citations

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

Fields of papers citing papers by Raphaël Boisgard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009159
2 2005102
3 201294
4 201276
5 200974
6 200774
7 201069
8 200266
9 200962
10 201060
11 201254
12 201750
13 201548
14 201546
15 200842
16 201141
17 202039
18 201838
19 201336
20 201334

About Raphaël Boisgard

Raphaël Boisgard is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Cellular and Molecular Neuroscience, Oncology and Immunology, having authored 55 papers that have together received 1.8k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (9 papers), Radiopharmaceutical Chemistry and Applications (9 papers), Neuroscience and Neuropharmacology Research (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Drug Transport and Resistance Mechanisms (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), DNA and Nucleic Acid Chemistry (4 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Neurology (250 citations), Biological Psychiatry (48 citations), Radiology, Nuclear Medicine and Imaging (374 citations), Cellular and Molecular Neuroscience (203 citations) and Oncology (263 citations). Raphaël Boisgard has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Bertrand Tavitian, Frédéric Dollé, Benoît Thezé, Bertrand Kühnast, Abraham Martín, Géraldine Pottier, Michael Kassiou, Alexandra Winkeler, Annelaure Damont and Nadja Van Camp. Their work appears in journals such as Molecular Imaging and Biology, Journal of Nuclear Medicine, European Journal of Nuclear Medicine and Molecular Imaging, Journal of Cerebral Blood Flow & Metabolism and Journal of Medicinal Chemistry.

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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