Daniel Pelletier

101 papers receiving 6.0k citations

Daniel Pelletier's Hit Papers

Progressive Multifocal Leukoencephalopathy in a Patient Treated with Natalizumab 2005 · 824 citations
8240+7+14Years since publication250500750

Peers

Daniel Pelletier
Comparison fields: 5 of 138
  • Pathology and Forensic Medicine 3.4k
  • Biological Psychiatry 176
  • Developmental Neuroscience 271
  • Neurology 540
  • Neurology 774
Replace Gabriele C. DeLuca with:
Gabriele C. DeLuca United Kingdom
Pablo Villoslada Spain
Ernst‐Wilhelm Radue Switzerland
Nancy L. Sicotte United States
Domenico Caputo Italy
Axel Petzold United Kingdom
Dennis L. Kolson United States
Matilde Inglese Italy
Joep Killestein Netherlands
Angelo Ghezzi Italy
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Citations per field
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Gabriele C. DeLuca · 1×
Citations per year

Countries citing papers authored by Daniel Pelletier

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Pelletier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Progressive Multifocal Leukoencephalopathy in a Patient Treated with Natalizumab
Hit paper breakdown →
2005824
2 2005378
3 2004301
4 2013268
5 2012253
6 2008240
7 2008203
8 2018183
9 2015177
10 2017167
11 2012161
12 2000158
13 2013154
14 2001146
15 2007143
16 2005126
17 2009115
18 2012112
19 200888
20 200888

About Daniel Pelletier

Daniel Pelletier is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Neurology, Epidemiology and Oncology, having authored 107 papers that have together received 6.2k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (61 papers), Advanced MRI Techniques and Applications (10 papers), Peripheral Neuropathies and Disorders (8 papers), Medical Image Segmentation Techniques (6 papers), Mycobacterium research and diagnosis (6 papers), Glioma Diagnosis and Treatment (6 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Polyomavirus and related diseases (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (3.4k citations), Biological Psychiatry (176 citations), Developmental Neuroscience (271 citations), Neurology (540 citations) and Neurology (774 citations). Daniel Pelletier has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Sarah J. Nelson, Scott W. Atlas, Ari Green, Andrew W. Bollen, Annette Langer‐Gould, Darin T. Okuda, Roland G. Henry, David A. Hafler, Radhika Srinivasan and David C. Mohr. Their work appears in journals such as Neurology, Multiple Sclerosis Journal, Annals of Neurology, Journal of Neuroimaging and Journal of the Neurological Sciences.

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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