Pierre‐François Pradat
- Neurology top 0.2%
- Amyotrophic Lateral Sclerosis Research 34
- Parkinson's Disease Mechanisms and Treatments 16
- Neurological diseases and metabolism 8
- Genetics top 0.5%
- Neurogenetic and Muscular Disorders Research 20
- Neurology top 2%
- Amyotrophic Lateral Sclerosis Research 34
- Parkinson's Disease Mechanisms and Treatments 16
- Neurological diseases and metabolism 8
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- Nerve injury and regeneration 3
- Genetic Neurodegenerative Diseases 3
- Physiology top 5%
- Alzheimer's disease research and treatments 7
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- Muscle Physiology and Disorders 3
Pierre‐François Pradat
39 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Neurology 2.4k
- Genetics 1.4k
- Neurology 396
- Cellular and Molecular Neuroscience 443
- Physiology 464
Countries citing papers authored by Pierre‐François Pradat
This map shows the geographic impact of Pierre‐François Pradat'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 Pierre‐François Pradat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre‐François Pradat more than expected).
Fields of papers citing papers by Pierre‐François Pradat
This network shows the impact of papers produced by Pierre‐François Pradat. 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 Pierre‐François Pradat. The network helps show where Pierre‐François Pradat may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pierre‐François Pradat, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 14 | |
| 4 | 2024 | 0 | |
| 5 | 2022 | 29 | |
| 6 | 2019 | 65 | |
| 7 | 2017 | 36 | |
| 8 | Emotional feeling, coping strategies and apathy in amyotrophic lateral sclerosis | 2016 | 1 |
| 9 | 2016 | 42 | |
| 10 | 2014 | 1 | |
| 11 | 2014 | 35 | |
| 12 | 2013 | 26 | |
| 13 | 2012 | 94 | |
| 14 | 2011 | 1 | |
| 15 | 2011 | 7 | |
| 16 | 2009 | 47 | |
| 17 | 2008 | 140 | |
| 18 | TARDBP mutations in individuals with sporadic and familial amyotrophic lateral sclerosisbreakdown → | 2008 | 1221 |
| 19 | 2005 | 42 | |
| 20 | 1998 | 5 |
About Pierre‐François Pradat
Pierre‐François Pradat is a scholar working on Neurology, Genetics and Neurology, having authored 42 papers that have together received 3.0k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (34 papers), Neurogenetic and Muscular Disorders Research (20 papers), Parkinson's Disease Mechanisms and Treatments (16 papers), Neurological diseases and metabolism (8 papers), Alzheimer's disease research and treatments (7 papers), Muscle Physiology and Disorders (3 papers), Nerve injury and regeneration (3 papers) and Genetic Neurodegenerative Diseases (3 papers). The work is most often cited by research in Neurology (2.4k citations), Genetics (1.4k citations) and Neurology (396 citations). Pierre‐François Pradat has collaborated with scholars based in France, Canada and Ireland. Frequent co-authors include Vincent Meininger, Jean‐Philippe Loeffler, François Salachas, Luc Dupuis, Lucette Lacomblez, Albert C. Ludolph, William Camu, Christine Vande Velde, Patrick A. Dion and Ksenia Pochigaeva.
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.