Jean‐Charles Lambert

41.2k total citations
167 papers, 5.3k citations indexed

About

Jean‐Charles Lambert is a scholar working on Physiology, Molecular Biology and Genetics. According to data from OpenAlex, Jean‐Charles Lambert has authored 167 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Physiology, 56 papers in Molecular Biology and 26 papers in Genetics. Recurrent topics in Jean‐Charles Lambert's work include Alzheimer's disease research and treatments (78 papers), Dementia and Cognitive Impairment Research (21 papers) and Nuclear Receptors and Signaling (12 papers). Jean‐Charles Lambert is often cited by papers focused on Alzheimer's disease research and treatments (78 papers), Dementia and Cognitive Impairment Research (21 papers) and Nuclear Receptors and Signaling (12 papers). Jean‐Charles Lambert collaborates with scholars based in France, United Kingdom and United States. Jean‐Charles Lambert's co-authors include Philippe Amouyel, Benjamin Grenier‐Boley, Florence Pasquier, Marie‐Christine Chartier‐Harlin, Céline Bellenguez, Corinne Lendon, Julien Chapuis, Claudine Berr, David M. A. Mann and E. Athanassoula and has published in prestigious journals such as Cell, The Lancet and SHILAP Revista de lepidopterología.

In The Last Decade

Jean‐Charles Lambert

160 papers receiving 5.2k citations

Peers

Jean‐Charles Lambert
Kristina Mullin United States
Christine M. Hulette United States
Donald E. Schmechel United States
Simon M. Laws Australia
Raymond Scott Turner United States
Luisa Benussi Italy
Roberta Ghidoni Italy
Kwangsik Nho United States
Kirk C. Wilhelmsen United States
Robert G. Nagele United States
Kristina Mullin United States
Jean‐Charles Lambert
Citations per year, relative to Jean‐Charles Lambert Jean‐Charles Lambert (= 1×) peers Kristina Mullin

Countries citing papers authored by Jean‐Charles Lambert

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Charles Lambert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Charles Lambert. 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 Jean‐Charles Lambert. The network helps show where Jean‐Charles Lambert may publish in the future.

Co-authorship network of co-authors of Jean‐Charles Lambert

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Charles Lambert. A scholar is included among the top collaborators of Jean‐Charles Lambert 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 Jean‐Charles Lambert. Jean‐Charles Lambert 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.
Flaig, Amandine, Florie Demiautte, Philippe Amouyel, et al.. (2025). Calpain and caspase regulate Aβ peptide production via cleavage of KINDLIN2 encoded by the AD-associated gene FERMT2. Neurobiology of Aging. 151. 117–125.
2.
Saha, Orthis, Karine Guyot, Yun Shen, et al.. (2024). The Alzheimer’s disease risk gene BIN1 regulates activity-dependent gene expression in human-induced glutamatergic neurons. Molecular Psychiatry. 29(9). 2634–2646. 12 indexed citations
3.
Mourtzi, Niki, Sokratis Charisis, Eirini Mamalaki, et al.. (2024). Genetic Predisposition for White Matter Hyperintensities and Risk of Mild Cognitive Impairment and Alzheimer’s Disease: Results from the HELIAD Study. Current Issues in Molecular Biology. 46(1). 934–947.
4.
Saha, Orthis, Amélie Bonnefond, Philippe Amouyel, et al.. (2023). Amyloid-Beta Peptides Trigger Premature Functional and Gene Expression Alterations in Human-Induced Neurons. Biomedicines. 11(9). 2564–2564. 3 indexed citations
5.
Lambert, Jean‐Charles, Alfredo Ramı́rez, Benjamin Grenier‐Boley, & Céline Bellenguez. (2023). Step by step: towards a better understanding of the genetic architecture of Alzheimer’s disease. Molecular Psychiatry. 28(7). 2716–2727. 42 indexed citations
6.
7.
Georgakis, Marios K., Eva Ntanasi, Alfredo Ramı́rez, et al.. (2022). Vascular burden and genetic risk in association with cognitive performance and dementia in a population-based study. SHILAP Revista de lepidopterología. 3. 100145–100145. 4 indexed citations
8.
Xicota, Laura, Beata Gyorgy, Benjamin Grenier‐Boley, et al.. (2022). Association of APOE -Independent Alzheimer Disease Polygenic Risk Score With Brain Amyloid Deposition in Asymptomatic Older Adults. Neurology. 99(5). e462–e475. 8 indexed citations
9.
Mouveaux, Thomas, Emmanuel Roger, Fanny Eysert, et al.. (2021). Primary brain cell infection by Toxoplasma gondii reveals the extent and dynamics of parasite differentiation and its impact on neuron biology. Open Biology. 11(10). 17 indexed citations
10.
Pilleron, Sophie, Victor Aboyans, Pascal Mbélesso, et al.. (2017). Prevalence, awareness, treatment, and control of hypertension in older people in Central Africa: the EPIDEMCA study. Journal of the American Society of Hypertension. 11(7). 449–460. 19 indexed citations
11.
Guerchet, Maëlenn, Pascal Mbélesso, Bébène Ndamba‐Bandzouzi, et al.. (2014). Epidemiology of dementia in Central Africa (EPIDEMCA): protocol for a multicentre population-based study in rural and urban areas of the Central African Republic and the Republic of Congo. SpringerPlus. 3(1). 338–338. 43 indexed citations
12.
Greliche, Nicolas, Marine Germain, Jean‐Charles Lambert, et al.. (2013). A genome-wide search for common SNP x SNP interactions on the risk of venous thrombosis. BMC Medical Genetics. 14(1). 36–36. 24 indexed citations
13.
Gistelinck, Marc, Jean‐Charles Lambert, Patrick Callaerts, Bart Dermaut, & Pierre Dourlen. (2012). DrosophilaModels of Tauopathies: What Have We Learned?. International Journal of Alzheimer s Disease. 2012. 1–14. 45 indexed citations
14.
Fortin, Pierre, E. Athanassoula, & Jean‐Charles Lambert. (2011). Comparisons of different codes for galacticN-body simulations. Astronomy and Astrophysics. 531. A120–A120. 8 indexed citations
15.
Goumidi, Louisa, Frédéric Flamant, Corinne Lendon, et al.. (2009). Study of thyroid hormone receptor alpha gene polymorphisms on Alzheimer's disease. Neurobiology of Aging. 32(4). 624–630. 14 indexed citations
16.
Boddaert, Jacques, Kiyoka Kinugawa, Jean‐Charles Lambert, et al.. (2007). Evidence of a Role for Lactadherin in Alzheimer's Disease. American Journal Of Pathology. 170(3). 921–929. 83 indexed citations
17.
Lambert, Jean‐Charles, et al.. (2004). The allelic modulation of apolipoprotein E expression by oestrogen: potential relevance for Alzheimer’s disease. Journal of Medical Genetics. 41(2). 104–112. 47 indexed citations
18.
Athanassoula, E., et al.. (2001). Relaxation times calculated from angular deflections. Springer Link (Chiba Institute of Technology). 7 indexed citations
19.
Lechevalier, B, et al.. (1989). Regional cerebral blood flow during comprehension and speech (in cerebrally healthy subjects). Brain and Language. 37(1). 1–11. 37 indexed citations
20.
Ayraud, N, et al.. (1976). [Interstitial deletion of the long arm of chromosome 7 in a female child with leprechaunism].. PubMed. 19(4). 265–8. 20 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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