Giulia Milan

4.6k total citations · 2 hit papers
14 papers, 3.4k citations indexed

About

Giulia Milan is a scholar working on Molecular Biology, Epidemiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Giulia Milan has authored 14 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Epidemiology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Giulia Milan's work include Muscle Physiology and Disorders (9 papers), Autophagy in Disease and Therapy (6 papers) and Genetic Neurodegenerative Diseases (3 papers). Giulia Milan is often cited by papers focused on Muscle Physiology and Disorders (9 papers), Autophagy in Disease and Therapy (6 papers) and Genetic Neurodegenerative Diseases (3 papers). Giulia Milan collaborates with scholars based in Italy, United States and Germany. Giulia Milan's co-authors include Marco Sandri, Alfred L. Goldberg, Cristina Mammucari, Eva Masiero, Jinghui Zhao, Claudia Sandri, Rüdiger Rudolf, Stefano Schiaffino, Steven J. Burden and Raffaella Di Lisi and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Giulia Milan

13 papers receiving 3.4k citations

Hit Papers

FoxO3 Controls Autophagy in Skeletal Muscle In Vivo 2007 2026 2013 2019 2007 2015 500 1000 1.5k
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.

  1. FoxO3 Controls Autophagy in Skeletal Muscle In Vivo
    2007 1.6k citations Cristina Mammucari, Giulia Milan et al. Cell Metabolism profile →
  2. Regulation of autophagy and the ubiquitin–proteasome system by the FoxO transcriptional network during muscle atrophy
    2015 533 citations Giulia Milan, Vanina Romanello et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giulia Milan Italy 11 2.6k 1.2k 1.1k 660 311 14 3.4k
Eva Masiero Italy 12 2.7k 1.0× 1.4k 1.2× 1.6k 1.4× 738 1.1× 368 1.2× 17 3.8k
Jeffrey J. Brault United States 22 2.1k 0.8× 1.0k 0.9× 724 0.6× 688 1.0× 274 0.9× 58 2.9k
Vanina Romanello Italy 24 3.3k 1.3× 2.0k 1.6× 710 0.6× 700 1.1× 315 1.0× 29 4.4k
Claudia Sandri Italy 13 3.9k 1.5× 1.8k 1.4× 1.2k 1.0× 1.0k 1.6× 488 1.6× 17 4.9k
Emanuele Loro United States 25 1.7k 0.7× 876 0.7× 685 0.6× 358 0.5× 357 1.1× 43 2.9k
Anne Picard Italy 15 2.9k 1.1× 1.1k 0.9× 343 0.3× 630 1.0× 415 1.3× 32 3.6k
James G. Ryall Australia 34 2.6k 1.0× 1.5k 1.2× 246 0.2× 794 1.2× 340 1.1× 58 3.8k
Marcelo D. Gomes Brazil 17 2.9k 1.1× 1.2k 1.0× 312 0.3× 870 1.3× 563 1.8× 39 3.6k
Erqian Na United States 15 3.1k 1.2× 1.3k 1.1× 342 0.3× 935 1.4× 489 1.6× 20 4.1k
Vanessa Ruiz‐Bonilla Spain 11 2.1k 0.8× 1.1k 0.9× 658 0.6× 288 0.4× 105 0.3× 12 3.0k

Countries citing papers authored by Giulia Milan

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Milan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giulia Milan

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

All Works

14 of 14 papers shown
1.
Romigi, Andrea, Valentina Franco, Egeria Scoditti, et al.. (2025). The effects of daylight saving time and clock time transitions on sleep and sleepiness: a systematic review. Sleep Medicine Reviews. 84. 102161–102161.
2.
Cerino, Giulia, Ludovic Melly, Jianlei Zhang, et al.. (2025). Harnessing the angiogenic potential of adipose-derived stromal vascular fraction cells with perfusion cell seeding. Stem Cell Research & Therapy. 16(1). 220–220. 1 indexed citations
3.
Milan, Giulia, Gregor Hütter, Martin Grapow, et al.. (2023). Upscaled Skeletal Muscle Engineered Tissue with In Vivo Vascularization and Innervation Potential. Bioengineering. 10(7). 800–800. 5 indexed citations
4.
Leduc‐Gaudet, Jean‐Philippe, Marina Cefis, Giulia Milan, et al.. (2023). MYTHO is a novel regulator of skeletal muscle autophagy and integrity. Nature Communications. 14(1). 1199–1199. 42 indexed citations
5.
Milan, Giulia, Daniel J. Ham, Shuo Lin, et al.. (2022). Dual roles of mTORC1-dependent activation of the ubiquitin-proteasome system in muscle proteostasis. Communications Biology. 5(1). 1141–1141. 25 indexed citations
6.
Milan, Giulia, Vanina Romanello, Francesca Pescatore, et al.. (2015). Regulation of autophagy and the ubiquitin–proteasome system by the FoxO transcriptional network during muscle atrophy. Nature Communications. 6(1). 6670–6670. 533 indexed citations breakdown →
7.
Zaglia, Tania, Giulia Milan, Aaron Ruhs, et al.. (2014). Atrogin-1 deficiency promotes cardiomyopathy and premature death via impaired autophagy. Journal of Clinical Investigation. 124(6). 2410–2424. 117 indexed citations
8.
Ratti, Francesca, Francis Ramond, Vincent Moncollin, et al.. (2014). Histone Deacetylase 6 Is a FoxO Transcription Factor-dependent Effector in Skeletal Muscle Atrophy. Journal of Biological Chemistry. 290(7). 4215–4224. 32 indexed citations
9.
Zaglia, Tania, Giulia Milan, Mauro Franzoso, et al.. (2012). Cardiac sympathetic neurons provide trophic signal to the heart via β2-adrenoceptor-dependent regulation of proteolysis. Cardiovascular Research. 97(2). 240–250. 68 indexed citations
10.
Romanello, Vanina, Eleonora Guadagnin, Lígia C. Gomes, et al.. (2010). Mitochondrial fission and remodelling contributes to muscle atrophy. The EMBO Journal. 29(10). 1774–1785. 483 indexed citations
11.
Raffaello, Anna, Giulia Milan, Eva Masiero, et al.. (2010). JunB transcription factor maintains skeletal muscle mass and promotes hypertrophy. The Journal of Cell Biology. 191(1). 101–113. 130 indexed citations
12.
Sartori, Roberta, Giulia Milan, Cristina Mammucari, et al.. (2009). Smad2 and 3 transcription factors control muscle mass in adulthood. American Journal of Physiology-Cell Physiology. 296(6). C1248–C1257. 388 indexed citations
13.
Mammucari, Cristina, Giulia Milan, Eva Masiero, et al.. (2007). FoxO3 Controls Autophagy in Skeletal Muscle In Vivo. Cell Metabolism. 6(6). 458–471. 1557 indexed citations breakdown →
14.
Vettor, Roberto, Geltrude Mingrone, Melania Manco, et al.. (2003). Reduced expression of uncoupling proteins-2 and -3 in adipose tissue in post-obese patients submitted to biliopancreatic diversion. European Journal of Endocrinology. 148(5). 543–550. 20 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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