Gillian Butler‐Browne

21.0k total citations · 2 hit papers
292 papers, 15.7k citations indexed

About

Gillian Butler‐Browne is a scholar working on Molecular Biology, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Gillian Butler‐Browne has authored 292 papers receiving a total of 15.7k indexed citations (citations by other indexed papers that have themselves been cited), including 238 papers in Molecular Biology, 67 papers in Physiology and 57 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Gillian Butler‐Browne's work include Muscle Physiology and Disorders (204 papers), Cardiomyopathy and Myosin Studies (46 papers) and Tissue Engineering and Regenerative Medicine (35 papers). Gillian Butler‐Browne is often cited by papers focused on Muscle Physiology and Disorders (204 papers), Cardiomyopathy and Myosin Studies (46 papers) and Tissue Engineering and Regenerative Medicine (35 papers). Gillian Butler‐Browne collaborates with scholars based in France, United Kingdom and Sweden. Gillian Butler‐Browne's co-authors include Vincent Mouly, Robert G. Whalen, Lars‐Eric Thornell, Onnik Agbulut, François Gros, Jacques Barbet, Denis Furling, Anne Bigot, R.N. Cooper and Kamel Mamchaoui and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Gillian Butler‐Browne

291 papers receiving 15.3k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cells Respond to Mechanical Stress by Rapid Disassembly of Caveolae

2011 699 citations Gillian Butler‐Browne et al. profile →
Three myosin heavy-chain isozymes appear sequentially in rat muscle development

1981 528 citations Robert G. Whalen, Gillian Butler‐Browne et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gillian Butler‐Browne France	67	11.0k	3.7k	2.8k	2.4k	2.3k	292	15.7k
Shin’ichi Takeda Japan	70	12.6k 1.1×	2.9k 0.8×	1.7k 0.6×	2.0k 0.9×	3.4k 1.5×	427	17.5k
Ikuya Nonaka Japan	68	18.0k 1.6×	3.0k 0.8×	3.1k 1.1×	3.3k 1.4×	1.2k 0.5×	529	22.0k
Se‐Jin Lee United States	44	12.2k 1.1×	4.8k 1.3×	2.9k 1.1×	2.1k 0.9×	1.4k 0.6×	96	15.8k
Roberto Bottinelli Italy	57	7.1k 0.6×	2.5k 0.7×	1.7k 0.6×	2.5k 1.1×	1.3k 0.6×	137	11.2k
Carlo Reggiani Italy	58	10.2k 0.9×	4.1k 1.1×	2.8k 1.0×	3.8k 1.6×	1.0k 0.5×	249	16.1k
James G. Tidball United States	59	8.6k 0.8×	3.1k 0.8×	2.1k 0.7×	1.1k 0.5×	1.8k 0.8×	136	12.7k
Andrew G. Engel United States	86	12.2k 1.1×	2.1k 0.6×	4.1k 1.5×	1.9k 0.8×	1.4k 0.6×	359	22.7k
Elizabeth M. McNally United States	71	12.2k 1.1×	1.8k 0.5×	2.3k 0.9×	5.4k 2.3×	1.2k 0.5×	297	16.4k
Thomas Braun Germany	82	21.9k 2.0×	2.9k 0.8×	2.2k 0.8×	3.1k 1.3×	4.1k 1.8×	483	31.1k
David M. Valenzuela United States	60	11.3k 1.0×	3.3k 0.9×	2.4k 0.9×	1.6k 0.7×	1.5k 0.7×	110	21.8k

Countries citing papers authored by Gillian Butler‐Browne

Since Specialization

Citations

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

Fields of papers citing papers by Gillian Butler‐Browne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gillian Butler‐Browne. 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 Gillian Butler‐Browne. The network helps show where Gillian Butler‐Browne may publish in the future.

Co-authorship network of co-authors of Gillian Butler‐Browne

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

All Works

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20 of 20 papers shown

Anquetil, C., Nozomu Tawara, Damien Amelin, et al.. (2022). Myostatin in idiopathic inflammatory myopathies: Serum assessment and disease activity. Neuropathology and Applied Neurobiology. 49(1). e12849–e12849. 7 indexed citations

Faroni, Alessandro, Adam J. Reid, Adam P. Lightfoot, et al.. (2019). <p>Simplified in vitro engineering of neuromuscular junctions between rat embryonic motoneurons and immortalized human skeletal muscle cells</p>. SHILAP Revista de lepidopterología. Volume 12. 1–9. 9 indexed citations

Portilho, Débora M., Tristan Courau, Elisa Négroni, et al.. (2018). Activated dendritic cells modulate proliferation and differentiation of human myoblasts. Cell Death and Disease. 9(5). 551–551. 16 indexed citations

Maarifi, Ghizlane, Juliette Fernandez, Débora M. Portilho, et al.. (2018). RanBP2 regulates the anti-retroviral activity of TRIM5α by SUMOylation at a predicted phosphorylated SUMOylation motif. Communications Biology. 1(1). 193–193. 17 indexed citations

Reijnierse, Esmee M., Nynke de Jong, Marijke C. Trappenburg, et al.. (2017). What we need as we get older : perceptions of elders, carers and community healthcare providers in the Macarthur region of Sydney. Australasian Journal on Ageing. 36. 35–35. 2 indexed citations

Portilho, Débora M., Marcelo Ribeiro‐Alves, Gueorgui Kratassiouk, et al.. (2015). miRNA Expression in Control and FSHD Fetal Human Muscle Biopsies. PLoS ONE. 10(2). e0116853–e0116853. 16 indexed citations

Mariot, Virginie, Stéphane Roche, Christophe Hourdé, et al.. (2015). Correlation between low FAT1 expression and early affected muscle in facioscapulohumeral muscular dystrophy. Annals of Neurology. 78(3). 387–400. 33 indexed citations

Stenroth, Lauri, Elina Sillanpää, Jamie S. McPhee, et al.. (2015). Plantarflexor Muscle–Tendon Properties are Associated With Mobility in Healthy Older Adults. The Journals of Gerontology Series A. 70(8). 996–1002. 51 indexed citations

Mariot, Virginie, et al.. (2014). Nuclear protein spreading: implication for pathophysiology of neuromuscular diseases. Human Molecular Genetics. 23(15). 4125–4133. 20 indexed citations

10.

Théron, Laëtitia, Marine Gueugneau, Didier Viala, et al.. (2013). Label-free Quantitative Protein Profiling of vastus lateralis Muscle During Human Aging. Molecular & Cellular Proteomics. 13(1). 283–294. 51 indexed citations

11.

Krom, Yvonne D., Julie Dumonceaux, Kamel Mamchaoui, et al.. (2012). Generation of Isogenic D4Z4 Contracted and Noncontracted Immortal Muscle Cell Clones from a Mosaic Patient. American Journal Of Pathology. 181(4). 1387–1401. 66 indexed citations

12.

McFarlane, Craig, Sudarsanareddy Lokireddy, Xiaojia Ge, et al.. (2011). Human myostatin negatively regulates human myoblast growth and differentiation. American Journal of Physiology-Cell Physiology. 301(1). C195–C203. 91 indexed citations

13.

Lokireddy, Sudarsanareddy, Vincent Mouly, Gillian Butler‐Browne, et al.. (2011). Myostatin promotes the wasting of human myoblast cultures through promoting ubiquitin-proteasome pathway-mediated loss of sarcomeric proteins. American Journal of Physiology-Cell Physiology. 301(6). C1316–C1324. 89 indexed citations

14.

Trollet, Capucine, Seyed Yahya Anvar, Andrea Venema, et al.. (2010). Molecular and phenotypic characterization of a mouse model of oculopharyngeal muscular dystrophy reveals severe muscular atrophy restricted to fast glycolytic fibres. Human Molecular Genetics. 19(11). 2191–2207. 70 indexed citations

15.

Chaouch, Soraya, Vincent Mouly, Aurélie Goyenvalle, et al.. (2009). Immortalized Skin Fibroblasts Expressing Conditional MyoD as a Renewable and Reliable Source of Converted Human Muscle Cells to Assess Therapeutic Strategies for Muscular Dystrophies: Validation of an Exon-Skipping Approach to Restore Dystrophin in Duchenne Muscular Dystrophy Cells. Human Gene Therapy. 20(7). 784–790. 54 indexed citations

16.

Ozden, Simona, Marianne Lucas‐Hourani, Pierre‐Emmanuel Ceccaldi, et al.. (2008). Inhibition of Chikungunya Virus Infection in Cultured Human Muscle Cells by Furin Inhibitors. Journal of Biological Chemistry. 283(32). 21899–21908. 110 indexed citations

17.

Holt, Ian, Virginie Jacquemin, Majid Fardaei, et al.. (2008). Muscleblind-Like Proteins. American Journal Of Pathology. 174(1). 216–227. 59 indexed citations

18.

Ozden, Simona, Michel Huerre, Jean‐Pierre Rivière, et al.. (2007). Human Muscle Satellite Cells as Targets of Chikungunya Virus Infection. PLoS ONE. 2(6). e527–e527. 226 indexed citations

19.

Ontell, Martin P., Martin P. Ontell, Maria C. Moschella, et al.. (1992). Modification of the dystrophic phenotype after transient neonatal denervation: Role of MHC isoforms. Journal of Neurobiology. 23(6). 751–765. 4 indexed citations

20.

Bhavsar, Pankaj, et al.. (1991). Developmental expression of troponin I isoforms in fetal human heart. FEBS Letters. 292(1-2). 5–8. 85 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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