Elisabeth Chélot

1.8k total citations · 1 hit paper
16 papers, 1.4k citations indexed

About

Elisabeth Chélot is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Plant Science. According to data from OpenAlex, Elisabeth Chélot has authored 16 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Endocrine and Autonomic Systems, 10 papers in Cellular and Molecular Neuroscience and 8 papers in Plant Science. Recurrent topics in Elisabeth Chélot's work include Circadian rhythm and melatonin (14 papers), Neurobiology and Insect Physiology Research (8 papers) and Plant Molecular Biology Research (5 papers). Elisabeth Chélot is often cited by papers focused on Circadian rhythm and melatonin (14 papers), Neurobiology and Insect Physiology Research (8 papers) and Plant Molecular Biology Research (5 papers). Elisabeth Chélot collaborates with scholars based in France, United States and Hungary. Elisabeth Chélot's co-authors include François Rouyer, Brigitte Grima, Ruohan Xia, André Klarsfeld, A. Lamouroux, Marie Picot, Christian Papin, Bernadette Limbourg‐Bouchon, Christine Michard‐Vanhée and Sébastien Malpel and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Elisabeth Chélot

16 papers receiving 1.4k citations

Hit Papers

Morning and evening peaks of activity rely on different c... 2004 2026 2011 2018 2004 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elisabeth Chélot France 13 1.2k 986 608 180 150 16 1.4k
Corinna Wülbeck Germany 17 825 0.7× 881 0.9× 385 0.6× 181 1.0× 181 1.2× 21 1.2k
Dirk Rieger Germany 22 1.3k 1.1× 1.3k 1.3× 493 0.8× 98 0.5× 246 1.6× 37 1.6k
Bridget C. Lear United States 15 710 0.6× 920 0.9× 238 0.4× 291 1.6× 174 1.2× 20 1.2k
Jerry H. Houl United States 15 913 0.8× 584 0.6× 618 1.0× 136 0.8× 83 0.6× 17 1.1k
Pipat Nawathean United States 10 768 0.6× 504 0.5× 506 0.8× 157 0.9× 68 0.5× 10 1.0k
Brian Y. Chung United States 14 694 0.6× 775 0.8× 257 0.4× 205 1.1× 258 1.7× 21 1.3k
Joan E. Rutila United States 13 961 0.8× 666 0.7× 655 1.1× 221 1.2× 207 1.4× 14 1.3k
José L. Agosto United States 4 828 0.7× 815 0.8× 265 0.4× 77 0.4× 185 1.2× 6 1.0k
Vasu Sheeba India 21 1.0k 0.8× 1.2k 1.2× 286 0.5× 160 0.9× 310 2.1× 57 1.6k
Melanie J. Hamblen-Coyle United States 10 971 0.8× 792 0.8× 571 0.9× 71 0.4× 116 0.8× 10 1.1k

Countries citing papers authored by Elisabeth Chélot

Since Specialization
Citations

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

Fields of papers citing papers by Elisabeth Chélot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisabeth Chélot

This figure shows the co-authorship network connecting the top 25 collaborators of Elisabeth Chélot. A scholar is included among the top collaborators of Elisabeth Chélot 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 Elisabeth Chélot. Elisabeth Chélot 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.
Martin, Béatrice, et al.. (2025). Neuropeptide dynamics coordinate layered plasticity mechanisms adapting Drosophila circadian behavior to changing environment. Science Advances. 11(35). eadt7168–eadt7168. 1 indexed citations
2.
Grima, Brigitte, Christian Papin, Béatrice Martin, et al.. (2019). PERIOD-controlled deadenylation of the timeless transcript in the Drosophila circadian clock. Proceedings of the National Academy of Sciences. 116(12). 5721–5726. 9 indexed citations
3.
Lamaze, Angélique, Elisabeth Chélot, Béatrice Martin, et al.. (2018). Reconfiguration of a Multi-oscillator Network by Light in the Drosophila Circadian Clock. Current Biology. 28(13). 2007–2017.e4. 62 indexed citations
4.
Papin, Christian, David Cornu, Elisabeth Chélot, et al.. (2018). Ubiquitylation Dynamics of the Clock Cell Proteome and TIMELESS during a Circadian Cycle. Cell Reports. 23(8). 2273–2282. 30 indexed citations
5.
Michard‐Vanhée, Christine, et al.. (2016). Four of the six Drosophila rhodopsin‐expressing photoreceptors can mediate circadian entrainment in low light. The Journal of Comparative Neurology. 524(14). 2828–2844. 41 indexed citations
6.
Andreazza, Simonetta, Béatrice Martin, A. Lamouroux, et al.. (2015). Daytime CLOCK Dephosphorylation Is Controlled by STRIPAK Complexes in Drosophila. Cell Reports. 11(8). 1266–1279. 23 indexed citations
7.
Grima, Brigitte, et al.. (2012). CULLIN-3 Controls TIMELESS Oscillations in the Drosophila Circadian Clock. PLoS Biology. 10(8). e1001367–e1001367. 47 indexed citations
8.
Klarsfeld, André, et al.. (2011). Identifying Specific Light Inputs for Each Subgroup of Brain Clock Neurons inDrosophilaLarvae. Journal of Neuroscience. 31(48). 17406–17415. 13 indexed citations
9.
Picot, Marie, André Klarsfeld, Elisabeth Chélot, Sébastien Malpel, & François Rouyer. (2009). A Role for Blind DN2 Clock Neurons in Temperature Entrainment of the Drosophila Larval Brain. Journal of Neuroscience. 29(26). 8312–8320. 38 indexed citations
10.
Cusumano, Paola, et al.. (2009). PDF-modulated visual inputs and cryptochrome define diurnal behavior in Drosophila. Nature Neuroscience. 12(11). 1431–1437. 73 indexed citations
11.
Klarsfeld, André, Sébastien Malpel, Christine Michard‐Vanhée, et al.. (2004). Novel Features of Cryptochrome-Mediated Photoreception in the Brain Circadian Clock ofDrosophila. Journal of Neuroscience. 24(6). 1468–1477. 149 indexed citations
12.
Grima, Brigitte, Elisabeth Chélot, Ruohan Xia, & François Rouyer. (2004). Morning and evening peaks of activity rely on different clock neurons of the Drosophila brain. Nature. 431(7010). 869–873. 531 indexed citations breakdown →
13.
Grima, Brigitte, A. Lamouroux, Elisabeth Chélot, et al.. (2002). The F-box protein Slimb controls the levels of clock proteins Period and Timeless. Nature. 420(6912). 178–182. 226 indexed citations
14.
Blanchardon, E., Brigitte Grima, André Klarsfeld, et al.. (2001). Defining the role of Drosophila lateral neurons in the control of circadian rhythms in motor activity and eclosion by targeted genetic ablation and PERIOD protein overexpression. European Journal of Neuroscience. 13(5). 871–888. 154 indexed citations
15.
Chaminade, M., Elisabeth Chélot, Lia Prado de Carvalho, Pascal Bochet, & Jean Rossier. (1996). Cat proenkephalin-A does not contain the opioid octapeptide. Neurochemistry International. 28(2). 155–160. 3 indexed citations
16.
Potier, Marie‐Claude, Elisabeth Chélot, Yuri Pekarsky, et al.. (1995). The Human Myosin Light Chain Kinase (MLCK) from Hippocampus: Cloning, Sequencing, Expression, and Localization to 3qcen–q21. Genomics. 29(3). 562–570. 41 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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