Aline Charpagne

1.8k total citations
16 papers, 840 citations indexed

About

Aline Charpagne is a scholar working on Physiology, Endocrine and Autonomic Systems and Genetics. According to data from OpenAlex, Aline Charpagne has authored 16 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 4 papers in Endocrine and Autonomic Systems and 4 papers in Genetics. Recurrent topics in Aline Charpagne's work include Circadian rhythm and melatonin (4 papers), Genetic Associations and Epidemiology (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). Aline Charpagne is often cited by papers focused on Circadian rhythm and melatonin (4 papers), Genetic Associations and Epidemiology (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). Aline Charpagne collaborates with scholars based in Switzerland, France and Australia. Aline Charpagne's co-authors include Frédéric Gachon, Félix Naef, Cédric Gobet, Benjamin D. Weger, Eva Martín, Francis Foata, Jake Yeung, Bernard Berger, Julien Marquis and Bertrand Bétrisey and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Aline Charpagne

16 papers receiving 834 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aline Charpagne Switzerland 12 305 284 283 172 142 16 840
Anouk C. Tengeler Netherlands 6 716 2.3× 624 2.2× 368 1.3× 47 0.3× 124 0.9× 8 1.3k
Virginie Laurent France 19 291 1.0× 192 0.7× 383 1.4× 103 0.6× 126 0.9× 46 1.2k
Edmond Y. Huang United States 7 659 2.2× 503 1.8× 270 1.0× 55 0.3× 117 0.8× 8 1.1k
Maayan Barnea Israel 15 213 0.7× 961 3.4× 648 2.3× 80 0.5× 135 1.0× 24 1.4k
Min-Seon Kim South Korea 10 839 2.8× 615 2.2× 407 1.4× 228 1.3× 318 2.2× 11 1.8k
Pengyun Ji China 17 313 1.0× 124 0.4× 458 1.6× 46 0.3× 23 0.2× 50 1.3k
Nava Chapnik Israel 22 260 0.9× 1.1k 3.8× 981 3.5× 53 0.3× 113 0.8× 57 1.7k
Anna-Karin Gerdin United Kingdom 12 179 0.6× 289 1.0× 193 0.7× 66 0.4× 230 1.6× 13 667
Anna Lee South Korea 15 659 2.2× 729 2.6× 769 2.7× 308 1.8× 389 2.7× 38 2.3k
Marek Koziorowski Poland 20 245 0.8× 110 0.4× 94 0.3× 65 0.4× 40 0.3× 108 1.2k

Countries citing papers authored by Aline Charpagne

Since Specialization
Citations

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

Fields of papers citing papers by Aline Charpagne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aline Charpagne. 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 Aline Charpagne. The network helps show where Aline Charpagne may publish in the future.

Co-authorship network of co-authors of Aline Charpagne

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

All Works

16 of 16 papers shown
1.
Segrestin, Bérénice, Kévin Seyssel, Stéphanie Chanon, et al.. (2023). Adipose tissue angiogenesis genes are down-regulated by grape polyphenols supplementation during a human overfeeding trial. The Journal of Nutritional Biochemistry. 117. 109334–109334. 5 indexed citations
2.
Lepelley, Maud, D. Breton, Aline Charpagne, et al.. (2023). Global transcriptome profiling reveals differential regulatory, metabolic and hormonal networks during somatic embryogenesis in Coffea arabica. BMC Genomics. 24(1). 41–41. 15 indexed citations
3.
Jouffe, Céline, Benjamin D. Weger, Eva Martín, et al.. (2022). Disruption of the circadian clock component BMAL1 elicits an endocrine adaption impacting on insulin sensitivity and liver disease. Proceedings of the National Academy of Sciences. 119(10). e2200083119–e2200083119. 65 indexed citations
4.
Weger, Benjamin D., Cédric Gobet, Fabrice David, et al.. (2021). Systematic analysis of differential rhythmic liver gene expression mediated by the circadian clock and feeding rhythms. Proceedings of the National Academy of Sciences. 118(3). 106 indexed citations
5.
Fuzo, Carlos Alessandro, Fábio da Veiga Ued, Sofia Moco, et al.. (2021). Contribution of genetic ancestry and polygenic risk score in meeting vitamin B12 needs in healthy Brazilian children and adolescents. Scientific Reports. 11(1). 11992–11992. 5 indexed citations
6.
Vialaneix, Nathalie, Julien Marquis, Aline Charpagne, et al.. (2021). Network Analyses Reveal Negative Link Between Changes in Adipose Tissue GDF15 and BMI During Dietary-induced Weight Loss. The Journal of Clinical Endocrinology & Metabolism. 107(1). e130–e142. 11 indexed citations
7.
Lefebvre, Grégory, Aline Charpagne, Julien Marquis, et al.. (2020). Time of Lactation and Maternal Fucosyltransferase Genetic Polymorphisms Determine the Variability in Human Milk Oligosaccharides. Frontiers in Nutrition. 7. 574459–574459. 55 indexed citations
8.
Strickler, Susan R., et al.. (2020). Temperature Impacts the Response of Coffea canephora to Decreasing Soil Water Availability. Tropical Plant Biology. 13(3). 236–250. 17 indexed citations
9.
Berger, Bernard, Nadine Porta, Francis Foata, et al.. (2020). Linking Human Milk Oligosaccharides, Infant Fecal Community Types, and Later Risk To Require Antibiotics. mBio. 11(2). 125 indexed citations
10.
Carayol, Jérôme, Joanne Hosking, Jonathan Pinkney, et al.. (2020). Genetic Susceptibility Determines β-Cell Function and Fasting Glycemia Trajectories Throughout Childhood: A 12-Year Cohort Study (EarlyBird 76). Diabetes Care. 43(3). 653–660. 17 indexed citations
11.
Rieker, Claus, Eugenia Migliavacca, Julien Marquis, et al.. (2019). Apolipoprotein E4 Expression Causes Gain of Toxic Function in Isogenic Human Induced Pluripotent Stem Cell-Derived Endothelial Cells. Arteriosclerosis Thrombosis and Vascular Biology. 39(9). e195–e207. 36 indexed citations
12.
Guénard, Frédéric, Julien Marquis, Aline Charpagne, et al.. (2019). Genetic Risk Score Predictive of the Plasma Triglyceride Response to an Omega-3 Fatty Acid Supplementation in a Mexican Population. Nutrients. 11(4). 737–737. 7 indexed citations
13.
Weger, Benjamin D., Cédric Gobet, Jake Yeung, et al.. (2018). The Mouse Microbiome Is Required for Sex-Specific Diurnal Rhythms of Gene Expression and Metabolism. Cell Metabolism. 29(2). 362–382.e8. 208 indexed citations
14.
Kieser, Silas, Shafiqul Alam Sarker, Olga Sakwińska, et al.. (2018). Bangladeshi children with acute diarrhoea show faecal microbiomes with increased Streptococcus abundance, irrespective of diarrhoea aetiology. Environmental Microbiology. 20(6). 2256–2269. 37 indexed citations
15.
Yeung, Jake, Jérôme Mermet, Céline Jouffe, et al.. (2017). Transcription factor activity rhythms and tissue-specific chromatin interactions explain circadian gene expression across organs. Genome Research. 28(2). 182–191. 75 indexed citations
16.
Borsotto, Marc, Laurent Cavarec, M Bouillot, et al.. (2006). PP2A-Bγ subunit and KCNQ2 K+ channels in bipolar disorder. The Pharmacogenomics Journal. 7(2). 123–132. 56 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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