Gildas Lepennetier

1.1k citations
19 papers · 613 indexed · h-index 13
Topics
Multiple Sclerosis Research Studies (5 papers)T-cell and B-cell Immunology (4 papers)Peripheral Neuropathies and Disorders (3 papers)

In The Last Decade

Gildas Lepennetier

19 papers receiving 611 citations

Peers

Gildas Lepennetier
Comparison fields: 5 of 82
  • Immunology 224
  • Pathology and Forensic Medicine 174
  • Neurology 114
  • Ophthalmology 101
  • Molecular Biology 92
Replace Nicholas Sanderson with:
Nicholas Sanderson United States
Ming Jiang China
Yuji Kawano Japan
Yvette Morcos Australia
Kaylan Fenton United States
Odile Béra Martinique
Tyler Allison United States
Stefanie Reinhardt Germany
Dawn Thomas United States
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Gildas Lepennetier relative to Nicholas Sanderson United States Nicholas Sanderson's profile →
Citations per field
00.5×6.7×
Nicholas Sanderson · 1×
Citations per year

Countries citing papers authored by Gildas Lepennetier

Since Specialization
Citations

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

Fields of papers citing papers by Gildas Lepennetier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gildas Lepennetier

This figure shows the co-authorship network connecting the top 25 collaborators of Gildas Lepennetier. A scholar is included among the top collaborators of Gildas Lepennetier 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 Gildas Lepennetier. Gildas Lepennetier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 2
2 8
3 16
4 16
5 3
6 22
7 22
8 42
9 23
10 106
11 81
12 76
13 106
14 12
15 6
16 12
17 5
18 3
19 52

About Gildas Lepennetier

Gildas Lepennetier is a scholar working on Immunology, Neurology and Pathology and Forensic Medicine, having authored 19 papers that have together received 613 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (5 papers), T-cell and B-cell Immunology (4 papers) and Peripheral Neuropathies and Disorders (3 papers). The work is most often cited by research in Ophthalmology (101 citations), Immunology (224 citations) and Pathology and Forensic Medicine (174 citations). Gildas Lepennetier has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Bernhard Hemmer, Markus C. Kowarik, Thomas Korn, Benjamin Knier, Zsuzsanna Hracskó, Marina Unger, Martijn van Griensven, Achim Berthele, Verena Grummel and Markus Krumbholz. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The Journal of Experimental Medicine.

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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