Patrick Viout

53 papers receiving 1.8k citations

Peers

Patrick Viout
Comparison fields: 5 of 106
  • Radiology, Nuclear Medicine and Imaging 787
  • Pathology and Forensic Medicine 611
  • Pediatrics, Perinatology and Child Health 328
  • Neurology 244
  • Genetics 165
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Mary A. McLean United Kingdom
R. Scott Dunn United States
Shoji Naruse Japan
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DG Gadian United Kingdom
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Citations per year

Countries citing papers authored by Patrick Viout

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Viout

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004148
2 2012111
3 199299
4 200787
5 200386
6 201582
7 200679
8 200778
9 200777
10 200474
11 200666
12
Local tissue damage assessed with statistical mapping analysis of brain magnetization transfer ratio: relationship with functional status of patients in the earliest stage of multiple sclerosis.
200562
13 201060
14 199354
15 200349
16 200748
17 201846
18 201841
19 200639
20 200236

About Patrick Viout

Patrick Viout is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Nuclear and High Energy Physics, Neurology and Genetics, having authored 53 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (29 papers), Multiple Sclerosis Research Studies (14 papers), Advanced Neuroimaging Techniques and Applications (13 papers), Metabolomics and Mass Spectrometry Studies (9 papers), Advanced NMR Techniques and Applications (7 papers), NMR spectroscopy and applications (7 papers), Transplantation: Methods and Outcomes (5 papers) and Viral Infections and Immunology Research (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (787 citations), Pathology and Forensic Medicine (611 citations), Pediatrics, Perinatology and Child Health (328 citations), Neurology (244 citations) and Genetics (165 citations). Patrick Viout has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Patrick J. Cozzone, Sylviane Confort‐Gouny, Jean‐Philippe Ranjeva, Jean Pelletier, Bertrand Audoin, Elisabeth Soulier, Irina Malikova, Yann Le Fur, Jean Vion‐Dury and Angèle Viola. Their work appears in journals such as Magnetic Resonance Materials in Physics Biology and Medicine, Magnetic Resonance in Medicine, American Journal of Neuroradiology, Multiple Sclerosis Journal and Biochimie.

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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