Francesca Solagna

1.2k total citations
7 papers, 561 citations indexed

About

Francesca Solagna is a scholar working on Molecular Biology, Cell Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Francesca Solagna has authored 7 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Francesca Solagna's work include Muscle Physiology and Disorders (5 papers), Genetics and Physical Performance (2 papers) and Muscle metabolism and nutrition (2 papers). Francesca Solagna is often cited by papers focused on Muscle Physiology and Disorders (5 papers), Genetics and Physical Performance (2 papers) and Muscle metabolism and nutrition (2 papers). Francesca Solagna collaborates with scholars based in Italy, Germany and Denmark. Francesca Solagna's co-authors include Bert Blaauw, Stefano Schiaffino, Kenneth A. Dyar, Rosario Rizzuto, Vishal R. Patel, Lauren E. Wright, Henriette Pilegaard, Silvio Bicciato, Mattia Forcato and Stefano Ciciliot and has published in prestigious journals such as Scientific Reports, Cell Reports and The Journal of General Physiology.

In The Last Decade

Francesca Solagna

7 papers receiving 559 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesca Solagna Italy 7 336 252 242 96 77 7 561
Jonathan H. England United States 9 258 0.8× 210 0.8× 177 0.7× 82 0.9× 51 0.7× 9 456
Brianna D. Harfmann United States 7 600 1.8× 174 0.7× 395 1.6× 87 0.9× 107 1.4× 15 801
Brian A. Hodge United States 7 354 1.1× 130 0.5× 322 1.3× 35 0.4× 111 1.4× 7 507
Michal Dudek United Kingdom 11 229 0.7× 123 0.5× 292 1.2× 23 0.2× 42 0.5× 13 611
Miguel A. Gutierrez‐Monreal United States 8 147 0.4× 130 0.5× 136 0.6× 25 0.3× 33 0.4× 16 309
Alisa Umanskaya United States 6 229 0.7× 450 1.8× 29 0.1× 80 0.8× 29 0.4× 8 676
Nicole E. Richardson United States 11 346 1.0× 214 0.8× 126 0.5× 56 0.6× 141 1.8× 15 606
Tuan Pham United States 8 281 0.8× 226 0.9× 53 0.2× 59 0.6× 28 0.4× 11 738
Mariana P. Cervantes‐Silva Ireland 7 183 0.5× 151 0.6× 293 1.2× 9 0.1× 37 0.5× 7 507
Atsuko Fujioka Japan 10 104 0.3× 131 0.5× 173 0.7× 22 0.2× 18 0.2× 27 343

Countries citing papers authored by Francesca Solagna

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Solagna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Solagna

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

All Works

7 of 7 papers shown
1.
Solagna, Francesca, Leonardo Nogara, Kenneth A. Dyar, et al.. (2020). Exercise‐dependent increases in protein synthesis are accompanied by chromatin modifications and increased MRTF‐SRF signalling. Acta Physiologica. 230(1). e13496–e13496. 24 indexed citations
2.
Baraldo, Martina, Marco Pirazzini, Leonardo Nogara, et al.. (2019). Skeletal muscle mTORC1 regulates neuromuscular junction stability. Journal of Cachexia Sarcopenia and Muscle. 11(1). 208–225. 55 indexed citations
3.
Pozzer, Diego, Μariagrazia Favellato, Marco Bolis, et al.. (2017). Endoplasmic Reticulum Oxidative Stress Triggers Tgf-Beta-Dependent Muscle Dysfunction by Accelerating Ascorbic Acid Turnover. Scientific Reports. 7(1). 40993–40993. 14 indexed citations
4.
Pereira, Marcelo G., Kenneth A. Dyar, Leonardo Nogara, et al.. (2017). Comparative Analysis of Muscle Hypertrophy Models Reveals Divergent Gene Transcription Profiles and Points to Translational Regulation of Muscle Growth through Increased mTOR Signaling. Frontiers in Physiology. 8. 968–968. 16 indexed citations
5.
Baraldo, Martina, Francesca Solagna, Roberta Sartori, et al.. (2016). S6K1 Is Required for Increasing Skeletal Muscle Force during Hypertrophy. Cell Reports. 17(2). 501–513. 84 indexed citations
6.
Dyar, Kenneth A., Stefano Ciciliot, Lauren E. Wright, et al.. (2013). Muscle insulin sensitivity and glucose metabolism are controlled by the intrinsic muscle clock. Molecular Metabolism. 3(1). 29–41. 340 indexed citations
7.
Blaauw, Bert, Lisa Agatea, Francesca Solagna, et al.. (2012). No evidence for inositol 1,4,5-trisphosphate–dependent Ca2+ release in isolated fibers of adult mouse skeletal muscle. The Journal of General Physiology. 140(2). 235–241. 28 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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