Renaud La Joie
- Psychiatry and Mental health top 0.2%
- Dementia and Cognitive Impairment Research 101
- Cognitive Neuroscience top 0.5%
- Functional Brain Connectivity Studies 53
- Memory and Neural Mechanisms 13
- Physiology top 0.5%
- Alzheimer's disease research and treatments 94
- Neurology top 0.5%
- Neurological Disease Mechanisms and Treatments 11
- Biological Psychiatry top 2%
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- Advanced Neuroimaging Techniques and Applications 22
- Medical Imaging Techniques and Applications 10
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- S100 Proteins and Annexins 8
- Co-authors
- Gaël ChételatGil D. RabinoviciFrancis EustacheWilliam J. JagustAudrey PerrotinBéatrice DesgrangesVincent de La SayetteBrigitte Landeau
- Partner nations
- United StatesFranceSweden
In The Last Decade
Renaud La Joie
147 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Psychiatry and Mental health 3.7k
- Cognitive Neuroscience 3.2k
- Physiology 3.5k
- Neurology 1.1k
- Biological Psychiatry 151
Countries citing papers authored by Renaud La Joie
This map shows the geographic impact of Renaud La Joie'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 Renaud La Joie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renaud La Joie more than expected).
Fields of papers citing papers by Renaud La Joie
This network shows the impact of papers produced by Renaud La Joie. 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 Renaud La Joie. The network helps show where Renaud La Joie may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Renaud La Joie, 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 12 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 22 | |
| 7 | 2023 | 9 | |
| 8 | 2022 | 64 | |
| 9 | 2022 | 38 | |
| 10 | Comorbid neuropathological diagnoses in early versus late-onset Alzheimer’s diseasebreakdown → | 2021 | 154 |
| 11 | 2021 | 20 | |
| 12 | 2021 | 24 | |
| 13 | 2021 | 14 | |
| 14 | 2021 | 6 | |
| 15 | Four distinct trajectories of tau deposition identified in Alzheimer’s diseasebreakdown → | 2021 | 400 |
| 16 | 2020 | 5 | |
| 17 | 2020 | 21 | |
| 18 | 2020 | 11 | |
| 19 | 2020 | 125 | |
| 20 | 2019 | 113 |
About Renaud La Joie
Renaud La Joie is a scholar working on Psychiatry and Mental health, Physiology and Cognitive Neuroscience, having authored 159 papers that have together received 7.4k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (101 papers), Alzheimer's disease research and treatments (94 papers), Functional Brain Connectivity Studies (53 papers), Advanced Neuroimaging Techniques and Applications (22 papers), Memory and Neural Mechanisms (13 papers), Neurological Disease Mechanisms and Treatments (11 papers), Medical Imaging Techniques and Applications (10 papers) and S100 Proteins and Annexins (8 papers). The work is most often cited by research in Psychiatry and Mental health (3.7k citations), Cognitive Neuroscience (3.2k citations) and Physiology (3.5k citations). Renaud La Joie has collaborated with scholars based in United States, France and Sweden. Frequent co-authors include Gaël Chételat, Gil D. Rabinovici, Francis Eustache, William J. Jagust, Audrey Perrotin, Béatrice Desgranges, Vincent de La Sayette, Brigitte Landeau, Florence Mézenge and Suzanne L. Baker. Their work appears in journals such as Nature Medicine, Nature Communications and Neuron.
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.