Rebecca Berdeaux

2.7k total citations
40 papers, 1.8k citations indexed

About

Rebecca Berdeaux is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Rebecca Berdeaux has authored 40 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 12 papers in Physiology and 7 papers in Surgery. Recurrent topics in Rebecca Berdeaux's work include Adipose Tissue and Metabolism (9 papers), Muscle Physiology and Disorders (7 papers) and Metabolism, Diabetes, and Cancer (7 papers). Rebecca Berdeaux is often cited by papers focused on Adipose Tissue and Metabolism (9 papers), Muscle Physiology and Disorders (7 papers) and Metabolism, Diabetes, and Cancer (7 papers). Rebecca Berdeaux collaborates with scholars based in United States, United Kingdom and Japan. Rebecca Berdeaux's co-authors include Dmitry Akhmedov, Greg S. Martin, Marc Montminy, Begoña Díaz, G. Diane Shelton, Laura A. Banaszynski, Thomas J. Wandless, Hiroshi Takemori, Franz Hofer and Jingqi Fu and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Circulation.

In The Last Decade

Rebecca Berdeaux

40 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rebecca Berdeaux United States 23 1.1k 504 301 174 169 40 1.8k
Bernat Baeza-Raja United States 13 1.1k 1.0× 564 1.1× 258 0.9× 162 0.9× 205 1.2× 15 1.8k
Alexander C. Zambon United States 27 1.6k 1.4× 324 0.6× 167 0.6× 204 1.2× 338 2.0× 51 2.6k
Ingrid Saarloos Netherlands 7 1.7k 1.5× 377 0.7× 207 0.7× 175 1.0× 104 0.6× 11 2.2k
Radek Dobrowolski United States 25 1.8k 1.6× 355 0.7× 400 1.3× 298 1.7× 108 0.6× 41 2.4k
Marta Dossena Italy 16 592 0.5× 378 0.8× 150 0.5× 102 0.6× 167 1.0× 21 1.4k
Gerald L. Stelmack Canada 23 1.2k 1.0× 491 1.0× 325 1.1× 409 2.4× 127 0.8× 33 1.9k
Adil Aziz Khan India 14 936 0.8× 376 0.7× 565 1.9× 239 1.4× 115 0.7× 52 1.6k
Thomas J. Ribar United States 21 1.2k 1.1× 316 0.6× 147 0.5× 252 1.4× 371 2.2× 28 1.9k
Marie‐France Champy France 22 1.1k 1.0× 896 1.8× 151 0.5× 136 0.8× 180 1.1× 28 2.2k
Nanao Horike Japan 24 977 0.9× 194 0.4× 178 0.6× 140 0.8× 241 1.4× 33 1.5k

Countries citing papers authored by Rebecca Berdeaux

Since Specialization
Citations

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

Fields of papers citing papers by Rebecca Berdeaux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rebecca Berdeaux

This figure shows the co-authorship network connecting the top 25 collaborators of Rebecca Berdeaux. A scholar is included among the top collaborators of Rebecca Berdeaux 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 Rebecca Berdeaux. Rebecca Berdeaux 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.
Allain, Vincent, Mohsen Fathi, Leonardo M. R. Ferreira, et al.. (2025). Scalable intracellular delivery via microfluidic vortex shedding enhances the function of chimeric antigen receptor T-cells. Scientific Reports. 15(1). 5749–5749. 4 indexed citations
2.
Yamaguchi, Hiroyuki, et al.. (2024). The primary cilia: Orchestrating cranial neural crest cell development. Differentiation. 142. 100818–100818. 1 indexed citations
3.
Meister, Jaroslawna, Jonas R. Knudsen, Luiz F. Barella, et al.. (2022). Clenbuterol exerts antidiabetic activity through metabolic reprogramming of skeletal muscle cells. Nature Communications. 13(1). 22–22. 17 indexed citations
4.
Li, Gang�, Xin Li, Li Yang, et al.. (2022). Adipose tissue–specific ablation of Ces1d causes metabolic dysregulation in mice. Life Science Alliance. 5(8). e202101209–e202101209. 19 indexed citations
5.
Matsumura, Shigenobu, Daisuke Shima, Takumi Yokokawa, et al.. (2022). Stimulation of Gs signaling in MC4R cells by DREADD increases energy expenditure, suppresses food intake, and increases locomotor activity in mice. American Journal of Physiology-Endocrinology and Metabolism. 322(5). E436–E445. 4 indexed citations
6.
Shwartz, Yulia, et al.. (2021). Defining a Role for G-Protein Coupled Receptor/cAMP/CRE-Binding Protein Signaling in Hair Follicle Stem Cell Activation. Journal of Investigative Dermatology. 142(1). 53–64.e3. 9 indexed citations
7.
Hollstein, Pablo E., Lillian J. Eichner, Sonja N. Brun, et al.. (2019). The AMPK-Related Kinases SIK1 and SIK3 Mediate Key Tumor-Suppressive Effects of LKB1 in NSCLC. Cancer Discovery. 9(11). 1606–1627. 90 indexed citations
8.
Kirkby, Nicholas S., et al.. (2018). Abstract 16362: The Right Heart is Specifically Targeted by Intravenous Administration of Treprostinil: Implications for Our Understanding of How Prostacyclin Drugs Work to Treat Pulmonary Arterial Hypertension. Circulation. 1 indexed citations
9.
Fekry, Baharan, Aleix Ribas‐Latre, Christopher Kwok, et al.. (2018). Incompatibility of the circadian protein BMAL1 and HNF4α in hepatocellular carcinoma. Nature Communications. 9(1). 4349–4349. 79 indexed citations
10.
Nixon, Mark, Jingqi Fu, Dmitry Akhmedov, et al.. (2015). Skeletal muscle salt inducible kinase 1 promotes insulin resistance in obesity. Molecular Metabolism. 5(1). 34–46. 46 indexed citations
11.
Zuo, Yan, Rebecca Berdeaux, & Jeffrey A. Frost. (2014). The RhoGEF Net1 Is Required for Normal Mammary Gland Development. Molecular Endocrinology. 28(12). 1948–1960. 14 indexed citations
12.
Fu, Jingqi, Dmitry Akhmedov, & Rebecca Berdeaux. (2013). The Short Isoform of the Ubiquitin Ligase NEDD4L Is a CREB Target Gene in Hepatocytes. PLoS ONE. 8(10). e78522–e78522. 17 indexed citations
13.
Clark, Rebecca I., Sharon Wui Sing Tan, Urmas Roostalu, et al.. (2013). MEF2 Is an In Vivo Immune-Metabolic Switch. Cell. 155(2). 435–447. 118 indexed citations
14.
Chatterjee, Somik, Bingyan Guo, Jeongkyung Lee, et al.. (2013). Brain and Muscle Arnt-like 1 is a Key Regulator of Myogenesis. Journal of Cell Science. 126(Pt 10). 2213–24. 80 indexed citations
15.
Luo, Jialie, et al.. (2012). Tonic Inhibition of TRPV3 by Mg2+ in Mouse Epidermal Keratinocytes. Journal of Investigative Dermatology. 132(9). 2158–2165. 37 indexed citations
16.
Berdeaux, Rebecca, Laura A. Banaszynski, Hiroshi Takemori, et al.. (2007). SIK1 is a class II HDAC kinase that promotes survival of skeletal myocytes. Nature Medicine. 13(5). 597–603. 219 indexed citations
17.
Zhu, Qingwei, Ari Krakowski, Elizabeth E. Dunham, et al.. (2006). Dual Role of SnoN in Mammalian Tumorigenesis. Molecular and Cellular Biology. 27(1). 324–339. 82 indexed citations
18.
Canettieri, Gianluca, Seung‐Hoi Koo, Rebecca Berdeaux, et al.. (2005). Dual role of the coactivator TORC2 in modulating hepatic glucose output and insulin signaling. Cell Metabolism. 2(5). 331–338. 53 indexed citations
19.
Hofer, Franz, Rebecca Berdeaux, & Greg S. Martin. (1998). Ras-independent activation of Ral by a Ca2+-dependent pathway. Current Biology. 8(14). 839–844. 68 indexed citations
20.
Schelman, William R., et al.. (1997). Angiotensin II type-2 (AT2) receptor-mediated inhibition of NMDA receptor signalling in neuronal cells. Molecular Brain Research. 48(2). 197–205. 32 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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