Annie Levert
Impact in
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- Amyotrophic Lateral Sclerosis Research
- Neurological diseases and metabolism
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- Neurogenetic and Muscular Disorders Research
Papers in
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- Neurological diseases and metabolism 2
- Amyotrophic Lateral Sclerosis Research 1
- Genetics 3
- Neurogenetic and Muscular Disorders Research 3
- Co-authors
- Guy Armand Rouleau (5 shared papers)Patrick A. Dion (4 shared papers)Nicolas Dupré (4 shared papers)Anne Noreau (3 shared papers)Anna Szuto (3 shared papers)Daniel L. Rochefort (1 shared paper)Claire S. Leblond (1 shared paper)Simon Girard (1 shared paper)
- Journals
- Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques (1 paper)Annals of Neurology (1 paper)Human Molecular Genetics (1 paper)JAMA Neurology (1 paper)EBioMedicine (1 paper)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Annie Levert
7 papers receiving 195 citations
Peers
Comparison fields: 5 of 34
- Neurology 73
- Genetics 50
- Neurology 26
- Cellular and Molecular Neuroscience 57
- Molecular Biology 112
Countries citing papers authored by Annie Levert
This map shows the geographic impact of Annie Levert'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 Annie Levert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Annie Levert more than expected).
Fields of papers citing papers by Annie Levert
This network shows the impact of papers produced by Annie Levert. 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 Annie Levert. The network helps show where Annie Levert may publish in the future.
Co-authors
The 25 scholars most cited alongside Annie Levert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 103 | |
| 2 | 2013 | 47 | |
| 3 | 2007 | 20 | |
| 4 | 2023 | 10 | |
| 5 | 2014 | 8 | |
| 6 | 2025 | 5 | |
| 7 | 2012 | 2 |
About Annie Levert
Annie Levert is a scholar working on Neurology, Genetics, Neurology, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 7 papers that have together received 195 indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (3 papers), Neurological diseases and metabolism (2 papers), Hereditary Neurological Disorders (2 papers), Multiple Sclerosis Research Studies (1 paper), Amyotrophic Lateral Sclerosis Research (1 paper), Nuclear Structure and Function (1 paper), RNA Research and Splicing (1 paper) and Immune responses and vaccinations (1 paper). The work is most often cited by research in Neurology (73 citations), Genetics (50 citations), Neurology (26 citations), Cellular and Molecular Neuroscience (57 citations) and Molecular Biology (112 citations). Annie Levert has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Guy Armand Rouleau, Patrick A. Dion, Nicolas Dupré, Anne Noreau, Anna Szuto, Daniel L. Rochefort, Claire S. Leblond, Simon Girard, Andrew W. Folkmann and Pascale Hince. Their work appears in journals such as Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques, Annals of Neurology, Human Molecular Genetics, JAMA Neurology and EBioMedicine.
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.