Benoît Larrat

2.7k citations
74 papers · 2.1k · h-index 27

Impact in

Papers in

    • Ultrasound and Hyperthermia Applications 49
    • Photoacoustic and Ultrasonic Imaging 23
    • Ultrasound Imaging and Elastography 29
    • Advanced MRI Techniques and Applications 14
    • Advanced Neuroimaging Techniques and Applications 6
    • MRI in cancer diagnosis 5

Benoît Larrat

71 papers receiving 2.0k citations

Peers

Benoît Larrat
Comparison fields: 5 of 108
  • Radiology, Nuclear Medicine and Imaging 897
  • Biomedical Engineering 1.4k
  • Biomaterials 241
  • Neurology 63
  • Materials Chemistry 317
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Michael Canney France
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Citations per field
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Citations per year

Countries citing papers authored by Benoît Larrat

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Larrat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012168
2 2009130
3 2020108
4 2012105
5 2019101
6 200986
7 201881
8 201270
9 201469
10 201264
11 202061
12 202054
13 201552
14 201252
15 201050
16 202047
17 202046
18 201844
19 201842
20 201841

About Benoît Larrat

Benoît Larrat is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Materials Chemistry, Biomaterials and Molecular Biology, having authored 74 papers that have together received 2.1k indexed citations. Recurring topics across this work include Ultrasound and Hyperthermia Applications (49 papers), Ultrasound Imaging and Elastography (29 papers), Photoacoustic and Ultrasonic Imaging (23 papers), Advanced MRI Techniques and Applications (14 papers), Ultrasound and Cavitation Phenomena (11 papers), Nanoparticle-Based Drug Delivery (7 papers), Advanced Neuroimaging Techniques and Applications (6 papers) and MRI in cancer diagnosis (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (897 citations), Biomedical Engineering (1.4k citations), Biomaterials (241 citations), Neurology (63 citations) and Materials Chemistry (317 citations). Benoît Larrat has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Mickaël Tanter, Mathias Fink, Mathieu Pernot, Sébastien Mériaux, Anthony Novell, Jean‐François Aubry, Ralph Sinkus, Allegra Conti, Hermes A. S. Kamimura and Denis Le Bihan. Their work appears in journals such as Journal of Controlled Release, Pharmaceutics, Physics in Medicine and Biology, Scientific Reports and Radiology.

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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