Suzanne Lesage

16.5k citations
70 papers · 3.8k indexed · 1 hit paper · h-index 30

Suzanne Lesage

70 papers receiving 3.7k citations

Hit Papers

G51D α‐synuclein mutation causes a novel Parkinsonian–pyr...5312013202620172021100200300400500

Peers

Suzanne Lesage
Comparison fields: 5 of 122
  • Neurology 2.6k
  • Neurology 767
  • Cellular and Molecular Neuroscience 1.2k
  • Physiology 973
  • Cell Biology 496
Replace Christina Patrick with:
Christina Patrick United States
Olga Corti France
Hideki Shimura Japan
Julie van der Zee Belgium
Cornelis Blauwendraat United States
Sonja W. Scholz United States
Marcie A. Glicksman United States
Changyoun Kim United States
Paramita Chakrabarty United States
Nawal Waucquier France
Suzanne Lesage relative to Christina Patrick United States Christina Patrick's profile →
Citations per field
00.5×
Christina Patrick · 1×
Citations per year

Countries citing papers authored by Suzanne Lesage

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne Lesage

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20245
2 20236
3 20237
4 202231
5 201838
6 201830
7 201714
8 201515
9 2012183
10 201212
11 201197
12 201073
13 201061
14 201027
15 200929
16 200821
17 200710
18 2006123
19 200619
20 200626

About Suzanne Lesage

Suzanne Lesage is a scholar working on Neurology, Neurology and Cellular and Molecular Neuroscience, having authored 70 papers that have together received 3.8k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (55 papers), Neurological diseases and metabolism (23 papers), Nuclear Receptors and Signaling (16 papers), Lysosomal Storage Disorders Research (9 papers), Neurological disorders and treatments (8 papers), RNA regulation and disease (7 papers), Ginkgo biloba and Cashew Applications (7 papers) and Banana Cultivation and Research (6 papers). The work is most often cited by research in Neurology (2.6k citations), Neurology (767 citations) and Cellular and Molecular Neuroscience (1.2k citations). Suzanne Lesage has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Alexis Brice, Olga Corti, Alexandra Dürr, Mathieu Anheim, Ebba Lohmann, Aurélie Honoré, Pierre Pollak, Laura Pieri, Christophe Verny and Franck Letournel. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physiological Reviews and PLoS ONE.

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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