Frédéric Boisson

404 citations
30 papers · 324 · h-index 8

Impact in

Papers in

    • Medical Imaging Techniques and Applications 21
    • Advanced MRI Techniques and Applications 10
    • Radiopharmaceutical Chemistry and Applications 6
    • Optical Imaging and Spectroscopy Techniques 4
    • Radiomics and Machine Learning in Medical Imaging 4
    • Radiation Detection and Scintillator Technologies 5

Frédéric Boisson

26 papers receiving 310 citations

Peers

Frédéric Boisson
Comparison fields: 5 of 61
  • Rheumatology 168
  • Radiology, Nuclear Medicine and Imaging 80
  • Clinical Biochemistry 19
  • Hematology 26
  • Obstetrics and Gynecology 15
Replace Thomas F. Fitzmaurice with:
Thomas F. Fitzmaurice United States
Yudai Nakai Japan
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Caroline Bund France
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Citations per field
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Citations per year

Countries citing papers authored by Frédéric Boisson

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Boisson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000137
2 200061
3 201622
4 201318
5 201513
6 201311
7 20228
8 20148
9 20225
10 20165
11 20245
12 20154
13 20114
14 20164
15 20173
16 20173
17 20212
18 20242
19 20222
20 20171

About Frédéric Boisson

Frédéric Boisson is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Hematology, Nuclear and High Energy Physics and Rheumatology, having authored 30 papers that have together received 324 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (21 papers), Advanced MRI Techniques and Applications (10 papers), Radiopharmaceutical Chemistry and Applications (6 papers), Radiation Detection and Scintillator Technologies (5 papers), Optical Imaging and Spectroscopy Techniques (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Click Chemistry and Applications (3 papers) and Iron Metabolism and Disorders (2 papers). The work is most often cited by research in Rheumatology (168 citations), Radiology, Nuclear Medicine and Imaging (80 citations), Clinical Biochemistry (19 citations), Hematology (26 citations) and Obstetrics and Gynecology (15 citations). Frédéric Boisson has collaborated with scholars based in France, Australia and Italy. Frequent co-authors include A. Chango, Françoise Barbé, Michèle Pfister, Suzanne Droesch, Jean Pierre Nicolas, D Lambert, S. Frémont, Didier Quilliot, David S. Rosenblatt and David Brasse. Their work appears in journals such as Physics in Medicine and Biology, IEEE Transactions on Radiation and Plasma Medical Sciences, British Journal Of Nutrition, Nuclear Medicine and Biology and NeuroImage.

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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