Cécile Proust‐Lima

6.1k total citations
106 papers, 4.0k citations indexed

About

Cécile Proust‐Lima is a scholar working on Statistics and Probability, Psychiatry and Mental health and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Cécile Proust‐Lima has authored 106 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Statistics and Probability, 31 papers in Psychiatry and Mental health and 14 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Cécile Proust‐Lima's work include Dementia and Cognitive Impairment Research (31 papers), Statistical Methods and Inference (26 papers) and Statistical Methods and Bayesian Inference (25 papers). Cécile Proust‐Lima is often cited by papers focused on Dementia and Cognitive Impairment Research (31 papers), Statistical Methods and Inference (26 papers) and Statistical Methods and Bayesian Inference (25 papers). Cécile Proust‐Lima collaborates with scholars based in France, United States and United Kingdom. Cécile Proust‐Lima's co-authors include Hélène Jacqmin‐Gadda, Jean‐François Dartigues, Jeremy M. G. Taylor, Luc Letenneur, Hélène Amieva, Pascale Barberger‐Gateau, Cécilia Samieri, Claudine Berr, Amélie Le Gouge and J.F. Dartigues and has published in prestigious journals such as JAMA, PLoS ONE and Neurology.

In The Last Decade

Cécile Proust‐Lima

100 papers receiving 3.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Cécile Proust‐Lima France 36 850 673 656 520 346 106 4.0k
Daniel Commenges France 45 1.9k 2.2× 1.3k 1.9× 1.1k 1.7× 672 1.3× 577 1.7× 174 7.5k
Larry J. Brant United States 39 353 0.4× 267 0.4× 630 1.0× 291 0.6× 176 0.5× 77 5.6k
Wendy Lou Canada 39 248 0.3× 248 0.4× 1.3k 2.0× 877 1.7× 100 0.3× 204 5.8k
Joel A. Dubin Canada 31 188 0.2× 145 0.2× 834 1.3× 713 1.4× 237 0.7× 115 3.8k
Matthew J. Gurka United States 43 637 0.7× 154 0.2× 794 1.2× 1.1k 2.1× 187 0.5× 200 5.5k
Tim Sprosen United Kingdom 6 613 0.7× 167 0.2× 1.6k 2.5× 1.5k 3.0× 446 1.3× 6 9.8k
Paul Downey Ireland 18 433 0.5× 127 0.2× 1.2k 1.8× 1.3k 2.5× 273 0.8× 65 8.2k
Hua He United States 31 235 0.3× 182 0.3× 837 1.3× 466 0.9× 241 0.7× 143 5.0k
Martin Landray United Kingdom 37 516 0.6× 253 0.4× 1.4k 2.1× 1.3k 2.5× 315 0.9× 124 11.4k
Amita K. Manatunga United States 37 404 0.5× 448 0.7× 446 0.7× 526 1.0× 46 0.1× 139 5.6k

Countries citing papers authored by Cécile Proust‐Lima

Since Specialization
Citations

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

Fields of papers citing papers by Cécile Proust‐Lima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cécile Proust‐Lima. 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 Cécile Proust‐Lima. The network helps show where Cécile Proust‐Lima may publish in the future.

Co-authorship network of co-authors of Cécile Proust‐Lima

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

All Works

20 of 20 papers shown
1.
Wagner, Maude, Quentin Le Grand, Aniket Mishra, et al.. (2025). Associations of the LIBRA index with cognitive resilience to genetic susceptibility to dementia. American Journal of Epidemiology. 194(9). 2457–2466.
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Praud, Delphine, Hidetaka Kobayashi, Amina Amadou, et al.. (2024). Trajectories of long-term exposure to PCB153 and Benzo[a]pyrene (BaP) air pollution and risk of breast cancer. Environmental Health. 23(1). 72–72. 3 indexed citations
4.
Lusa, Lara, Cécile Proust‐Lima, Carsten Oliver Schmidt, et al.. (2024). Initial data analysis for longitudinal studies to build a solid foundation for reproducible analysis. PLoS ONE. 19(5). e0295726–e0295726. 1 indexed citations
5.
Helmer, Catherine, et al.. (2024). Functional Principal Component Analysis as an Alternative to Mixed‐Effect Models for Describing Sparse Repeated Measures in Presence of Missing Data. Statistics in Medicine. 43(26). 4899–4912. 1 indexed citations
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Samieri, Cécilia, Christophe Tzourio, Thibault Mura, et al.. (2023). Addressing unmeasured confounders in cohort studies: Instrumental variable method for a time‐fixed exposure on an outcome trajectory. Biometrical Journal. 66(1). e2200358–e2200358. 1 indexed citations
8.
Savel, Hélène, Sandrine Barbier, Cécile Proust‐Lima, et al.. (2023). On the Choice of Longitudinal Models for the Analysis of Antitumor Efficacy in Mouse Clinical Trials of Patient-derived Xenograft Models. Cancer Research Communications. 3(1). 140–147. 2 indexed citations
9.
Proust‐Lima, Cécile, Anne Pavy‐Le Traon, Patrice Péran, et al.. (2023). Describing complex disease progression using joint latent class models for multivariate longitudinal markers and clinical endpoints. Statistics in Medicine. 42(22). 3996–4014. 6 indexed citations
10.
Krainski, Elias Teixeira, et al.. (2023). Fast and flexible inference for joint models of multivariate longitudinal and survival data using integrated nested Laplace approximations. Biostatistics. 25(2). 429–448. 10 indexed citations
11.
Carles, Sophie, Claudine Berr, Catherine Helmer, et al.. (2021). Dynamic reciprocal relationships between cognitive and functional declines along the Alzheimer’s disease continuum in the prospective COGICARE study. Alzheimer s Research & Therapy. 13(1). 148–148. 4 indexed citations
12.
Foubert‐Samier, Alexandra, Anne Pavy‐Le Traon, Mélanie Le Goff, et al.. (2021). An Item Response Theory analysis of the Unified Multiple System Atrophy Rating Scale. Parkinsonism & Related Disorders. 94. 40–44. 8 indexed citations
13.
Jacqmin‐Gadda, Hélène, et al.. (2019). Dynamic modeling of multivariate dimensions and their temporal relationships using latent processes: Application to Alzheimer's disease. Biometrics. 76(3). 886–899. 8 indexed citations
14.
Proust‐Lima, Cécile, et al.. (2019). A joint model for multiple dynamic processes and clinical endpoints: Application to Alzheimer's disease. Statistics in Medicine. 38(23). 4702–4717. 4 indexed citations
15.
Proust‐Lima, Cécile, Jean‐François Dartigues, David A. Bennett, et al.. (2017). Are latent variable models preferable to composite score approaches when assessing risk factors of change? Evaluation of type-I error and statistical power in longitudinal cognitive studies. Statistical Methods in Medical Research. 28(7). 1942–1957. 13 indexed citations
16.
Guedj, Mickaël, Viviane Bertrand, Julie Foucquier, et al.. (2017). A Rasch Analysis of the Charcot-Marie-Tooth Neuropathy Score (CMTNS) in a Cohort of Charcot-Marie-Tooth Type 1A Patients. PLoS ONE. 12(1). e0169878–e0169878. 14 indexed citations
17.
Bellera, Carine, et al.. (2014). Shared random-effect models for the joint analysis of longitudinal and time-to-event data: application to the prediction of prostate cancer recurrence. HAL (Le Centre pour la Communication Scientifique Directe). 155(1). 134–155. 8 indexed citations
18.
Taylor, Jeremy M. G., Yongseok Park, Donna P. Ankerst, et al.. (2013). Real‐Time Individual Predictions of Prostate Cancer Recurrence Using Joint Models. Biometrics. 69(1). 206–213. 72 indexed citations
19.
Proust‐Lima, Cécile & Jeremy M. G. Taylor. (2009). Development and validation of a dynamic prognostic tool for prostate cancer recurrence using repeated measures of posttreatment PSA: a joint modeling approach. Biostatistics. 10(3). 535–549. 129 indexed citations
20.
Proust‐Lima, Cécile, Hélène Amieva, Luc Letenneur, et al.. (2008). Gender and education impact on brain aging: A general cognitive factor approach.. Psychology and Aging. 23(3). 608–620. 113 indexed citations

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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