Nadine Wiper‐Bergeron

865 total citations
25 papers, 662 citations indexed

About

Nadine Wiper‐Bergeron is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Nadine Wiper‐Bergeron has authored 25 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 5 papers in Physiology and 4 papers in Surgery. Recurrent topics in Nadine Wiper‐Bergeron's work include Muscle Physiology and Disorders (17 papers), Mesenchymal stem cell research (3 papers) and TGF-β signaling in diseases (3 papers). Nadine Wiper‐Bergeron is often cited by papers focused on Muscle Physiology and Disorders (17 papers), Mesenchymal stem cell research (3 papers) and TGF-β signaling in diseases (3 papers). Nadine Wiper‐Bergeron collaborates with scholars based in Canada, United States and France. Nadine Wiper‐Bergeron's co-authors include Catherine St‐Louis, François Marchildon, Dongmei Wu, Robert J.G. Haché, Julianna J. Tomlinson, Dechen Fu, Grace Li, Rahima Akter, Jonathan M. Lee and Ilona S. Skerjanc and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Nadine Wiper‐Bergeron

25 papers receiving 655 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nadine Wiper‐Bergeron Canada 14 489 207 77 67 65 25 662
Joonseok Cho United States 10 426 0.9× 176 0.9× 69 0.9× 35 0.5× 50 0.8× 16 706
Nora Yucel United States 9 418 0.9× 158 0.8× 46 0.6× 67 1.0× 54 0.8× 11 578
Bernd Kuebler Spain 11 450 0.9× 134 0.6× 48 0.6× 44 0.7× 27 0.4× 21 645
Ivan Carcamo‐Orive United States 11 244 0.5× 87 0.4× 67 0.9× 85 1.3× 41 0.6× 14 432
Jieying Zhu China 11 474 1.0× 104 0.5× 93 1.2× 59 0.9× 20 0.3× 20 664
Kensuke Tsushima Japan 7 452 0.9× 143 0.7× 109 1.4× 102 1.5× 26 0.4× 13 626
Alexander J. Knights United States 17 313 0.6× 198 1.0× 159 2.1× 48 0.7× 19 0.3× 31 800
Jill A. Rahnert United States 14 382 0.8× 169 0.8× 47 0.6× 30 0.4× 26 0.4× 21 567
Adelaida R. Palla United States 6 322 0.7× 124 0.6× 29 0.4× 54 0.8× 42 0.6× 8 471
Trudi McDevitt Ireland 11 339 0.7× 378 1.8× 75 1.0× 127 1.9× 21 0.3× 19 750

Countries citing papers authored by Nadine Wiper‐Bergeron

Since Specialization
Citations

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

Fields of papers citing papers by Nadine Wiper‐Bergeron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nadine Wiper‐Bergeron. 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 Nadine Wiper‐Bergeron. The network helps show where Nadine Wiper‐Bergeron may publish in the future.

Co-authorship network of co-authors of Nadine Wiper‐Bergeron

This figure shows the co-authorship network connecting the top 25 collaborators of Nadine Wiper‐Bergeron. A scholar is included among the top collaborators of Nadine Wiper‐Bergeron 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 Nadine Wiper‐Bergeron. Nadine Wiper‐Bergeron 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.
Niemiro, Grace M., Joseph W. Beals, Stephan van Vliet, et al.. (2022). The role of L-type amino acid transporter 1 (Slc7a5) during in vitro myogenesis. American Journal of Physiology-Cell Physiology. 323(2). C595–C605. 12 indexed citations
2.
Wiper‐Bergeron, Nadine, et al.. (2022). C/EBPβ promotes the expression of atrophy‐inducing factors by tumours and is a central regulator of cancer cachexia. Journal of Cachexia Sarcopenia and Muscle. 13(1). 743–757. 16 indexed citations
3.
Fu, Dechen, et al.. (2021). SMAD2 promotes myogenin expression and terminal myogenic differentiation. Development. 148(3). 10 indexed citations
4.
Wiper‐Bergeron, Nadine, et al.. (2019). Contaminating reactivity of a monoclonal CCAAT/Enhancer Binding Protein β antibody in differentiating myoblasts. BMC Research Notes. 12(1). 717–717. 2 indexed citations
5.
Wiper‐Bergeron, Nadine, et al.. (2018). CCAAT/Enhancer Binding Protein β inhibits myogenic differentiation via ID3. Scientific Reports. 8(1). 16613–16613. 13 indexed citations
6.
Marchildon, François, Jennifer MacDonald, Daryl A. Scott, et al.. (2017). SOX7 Is Required for Muscle Satellite Cell Development and Maintenance. Stem Cell Reports. 9(4). 1139–1151. 7 indexed citations
7.
Marchildon, François, et al.. (2016). CCAAT/enhancer binding protein β is required for satellite cell self-renewal. Skeletal Muscle. 6(1). 40–40. 12 indexed citations
8.
Marchildon, François, et al.. (2016). CCAAT/enhancer binding protein beta protects muscle satellite cells from apoptosis after injury and in cancer cachexia. Cell Death and Disease. 7(2). e2109–e2109. 15 indexed citations
9.
Fu, Dechen, et al.. (2015). Mdm2 Promotes Myogenesis through the Ubiquitination and Degradation of CCAAT/Enhancer-binding Protein β. Journal of Biological Chemistry. 290(16). 10200–10207. 31 indexed citations
10.
Marchildon, François, et al.. (2015). Expression of CCAAT/Enhancer Binding Protein Beta in Muscle Satellite Cells Inhibits Myogenesis in Cancer Cachexia. PLoS ONE. 10(12). e0145583–e0145583. 25 indexed citations
11.
St‐Louis, Catherine, et al.. (2015). Retinoic acid promotes myogenesis in myoblasts by antagonizing transforming growth factor-beta signaling via C/EBPβ. Skeletal Muscle. 5(1). 8–8. 27 indexed citations
12.
Marchildon, François, et al.. (2012). CCAAT/Enhancer Binding Protein Beta is Expressed in Satellite Cells and Controls Myogenesis. Stem Cells. 30(12). 2619–2630. 37 indexed citations
13.
Voronova, Anastassia, Erin M. Coyne, Ashraf Al Madhoun, et al.. (2012). Hedgehog Signaling Regulates MyoD Expression and Activity. Journal of Biological Chemistry. 288(6). 4389–4404. 44 indexed citations
15.
Madhoun, Ashraf Al, et al.. (2011). Skeletal myosin light chain kinase regulates skeletal myogenesis by phosphorylation of MEF2C. The EMBO Journal. 30(12). 2477–2489. 36 indexed citations
16.
Marchildon, François, et al.. (2011). Retinoic acid-induced Smad3 expression is required for the induction of osteoblastogenesis of mesenchymal stem cells. Differentiation. 82(2). 57–65. 29 indexed citations
17.
Doja, Asif, et al.. (2011). Web-Based Software to Assist in the Localization of Neuroanatomical Lesions. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 38(2). 251–255. 9 indexed citations
18.
Marchildon, François, et al.. (2010). Transcription Factor Smad3 Is Required for the Inhibition of Adipogenesis by Retinoic Acid. Journal of Biological Chemistry. 285(17). 13274–13284. 67 indexed citations
19.
Wiper‐Bergeron, Nadine, Catherine St‐Louis, & Jonathan M. Lee. (2007). CCAAT/Enhancer Binding Protein β Abrogates Retinoic Acid-Induced Osteoblast Differentiation via Repression of Runx2 Transcription. Molecular Endocrinology. 21(9). 2124–2135. 33 indexed citations
20.
Wiper‐Bergeron, Nadine. (2003). Stimulation of preadipocyte differentiation by steroid through targeting of an HDAC1 complex. The EMBO Journal. 22(9). 2135–2145. 122 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026