Daniel Pelletier

9.3k total citations · 1 hit paper
104 papers, 5.8k citations indexed

About

Daniel Pelletier is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Daniel Pelletier has authored 104 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Pathology and Forensic Medicine, 27 papers in Radiology, Nuclear Medicine and Imaging and 16 papers in Neurology. Recurrent topics in Daniel Pelletier's work include Multiple Sclerosis Research Studies (69 papers), Advanced MRI Techniques and Applications (12 papers) and RNA regulation and disease (10 papers). Daniel Pelletier is often cited by papers focused on Multiple Sclerosis Research Studies (69 papers), Advanced MRI Techniques and Applications (12 papers) and RNA regulation and disease (10 papers). Daniel Pelletier collaborates with scholars based in United States, Canada and France. Daniel Pelletier's co-authors include Sarah J. Nelson, Andrew W. Bollen, Annette Langer‐Gould, Ari Green, Scott W. Atlas, Darin T. Okuda, Roland G. Henry, David A. Hafler, Radhika Srinivasan and David C. Mohr and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and NeuroImage.

In The Last Decade

Daniel Pelletier

98 papers receiving 5.7k citations

Hit Papers

Progressive Multifocal Leukoencephalopathy in a Patient T... 2005 2026 2012 2019 2005 250 500 750

Peers

Daniel Pelletier
Comparison fields: 5 of 137
  • Pathology and Forensic Medicine 3.5k
  • Radiology, Nuclear Medicine and Imaging 1.4k
  • Neurology 1.0k
  • Molecular Biology 916
  • Oncology 902
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Citations per field, relative to Daniel Pelletier
Daniel Pelletier · 1×
Citations per year, relative to Daniel Pelletier
Daniel Pelletier · 1×

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-authorship network of co-authors of Daniel Pelletier

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Pelletier. A scholar is included among the top collaborators of Daniel Pelletier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Pelletier. Daniel Pelletier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 2
3 2
4 27
5 0
6 11
7 1
8 7
9 1
10 27
11 23
12 0
13 1
14 5
15 38
16 62
17 17
18 65
19 63
20 20

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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