Michel de Chaldée

528 total citations
10 papers, 238 citations indexed

About

Michel de Chaldée is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Michel de Chaldée has authored 10 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 4 papers in Neurology. Recurrent topics in Michel de Chaldée's work include Genetic Neurodegenerative Diseases (5 papers), Mitochondrial Function and Pathology (3 papers) and Neurological disorders and treatments (3 papers). Michel de Chaldée is often cited by papers focused on Genetic Neurodegenerative Diseases (5 papers), Mitochondrial Function and Pathology (3 papers) and Neurological disorders and treatments (3 papers). Michel de Chaldée collaborates with scholars based in France, Switzerland and Burundi. Michel de Chaldée's co-authors include Antoine Triller, Jochen C. Meier, Christian Vannier, Marie‐Claude Gaillard, Jean‐Marc Elalouf, Emmanuel Brouillet, Philippe Hantraye, Laetitia Francelle, Laurie Galvan and Nicole Déglon and has published in prestigious journals such as Genome Research, Human Molecular Genetics and Neurobiology of Aging.

In The Last Decade

Michel de Chaldée

10 papers receiving 233 citations

Peers

Michel de Chaldée

MB

CMN

CR

GENET

CB

Yongcheng Pan China

Luca Guglielmi Italy

Katherine E. Squires United States

Jordi Creus‐Muncunill United States

Deyong Tan China

Raphael M. Bendriem United States

Reem A. Alkhater Canada

Rico Schieweck Germany

Wu Jin China

Xiaohong Zi China

Yongcheng Pan China

Michel de Chaldée

198 ×1.1

MB

156 ×1.4

CMN

24 ×0.7

CR

62 ×1.9

GENET

26 ×0.9

CB

Citations per year, relative to Michel de Chaldée Michel de Chaldée (= 1×) peers Yongcheng Pan

Countries citing papers authored by Michel de Chaldée

Since Specialization

Citations

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

Fields of papers citing papers by Michel de Chaldée

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michel de Chaldée. 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 Michel de Chaldée. The network helps show where Michel de Chaldée may publish in the future.

Co-authorship network of co-authors of Michel de Chaldée

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

All Works

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10 of 10 papers shown

1.

Francelle, Laetitia, Laurie Galvan, Marie‐Claude Gaillard, et al.. (2014). Loss of the thyroid hormone-binding protein Crym renders striatal neurons more vulnerable to mutant huntingtin in Huntington's disease. Human Molecular Genetics. 24(6). 1563–1573. 22 indexed citations

2.

Francelle, Laetitia, Laurie Galvan, Marie‐Claude Gaillard, et al.. (2014). The striatal long noncoding RNA Abhd11os is neuroprotective against an N-terminal fragment of mutant huntingtin in vivo. Neurobiology of Aging. 36(3). 1601.e7–1601.e16. 40 indexed citations

3.

Galvan, Laurie, Marie‐Claude Gaillard, Carole Malgorn, et al.. (2012). Capucin does not modify the toxicity of a mutant Huntingtin fragment in vivo. Neurobiology of Aging. 33(8). 1845.e5–1845.e6. 6 indexed citations

4.

Brochier, Camille, Marie‐Claude Gaillard, Elsa Diguet, et al.. (2008). Quantitative gene expression profiling of mouse brain regions reveals differential transcripts conserved in human and affected in disease models. Physiological Genomics. 33(2). 170–179. 35 indexed citations

5.

Chaldée, Michel de, et al.. (2005). Capucin: A novel striatal marker down-regulated in rodent models of Huntington disease. Genomics. 87(2). 200–207. 15 indexed citations

6.

Chaldée, Michel de, Marie‐Claude Gaillard, Nicolas Bizat, et al.. (2003). Quantitative Assessment of Transcriptome Differences Between Brain Territories. Genome Research. 13(7). 1646–1653. 26 indexed citations

7.

Chaldée, Michel de, Marilys Corbex, Dominique Campion, et al.. (2001). No evidence for linkage between COMT and schizophrenia in a French population. Psychiatry Research. 102(1). 87–90. 25 indexed citations

8.

Meier, Jochen C., Michel de Chaldée, Antoine Triller, & Christian Vannier. (2000). Functional Heterogeneity of Gephyrins. Molecular and Cellular Neuroscience. 16(5). 566–577. 58 indexed citations

9.

Chaldée, Michel de, Claudine Laurent, Florence Thibaut, et al.. (1999). Linkage disequilibrium on the COMT gene in French schizophrenics and controls. American Journal of Medical Genetics. 88(5). 452–457. 7 indexed citations

10.

Boisselier‐Dubayle, Marie‐Catherine, et al.. (1995). Genetic variability in western European Lanularia [Hepaticae, Lunulariaceae]. Fragmenta Floristica et Geobotanica. 40(1). 4 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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