Giulia Milan
Impact in
- Aging top 1%
- Geriatrics and Gerontology top 1%
Papers in
- Aging 3
- Genetics, Aging, and Longevity in Model Organisms 3
-
- Autophagy in Disease and Therapy 7
- Co-authors
- Marco Sandri (9 shared papers)Alfred Lewis Goldberg (3 shared papers)Cristina Mammucari (2 shared papers)Eva Masiero (3 shared papers)Jinghui Zhao (2 shared papers)Claudia Sandri (2 shared papers)Stefano Schiaffino (2 shared papers)Raffaella Di Lisi (1 shared paper)
- Journals
- Journal of Clinical Investigation (2 papers)Cardiovascular Research (2 papers)Nature Communications (2 papers)Molecular Metabolism (1 paper)The Journal of Cell Biology (1 paper)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Giulia Milan
16 papers receiving 3.9k citations
Giulia Milan's Hit Papers
Peers
Comparison fields: 5 of 104
- Aging 212
- Geriatrics and Gerontology 219
- Physiology 1.2k
- Rehabilitation 281
- Cell Biology 692
Countries citing papers authored by Giulia Milan
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
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-authors
The 25 scholars most cited alongside Giulia Milan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | FoxO3 Controls Autophagy in Skeletal Muscle In Vivo Hit paper breakdown → | 2007 | 1650 |
| 2 | Regulation of autophagy and the ubiquitin–proteasome system by the FoxO transcriptional network during muscle atrophy Hit paper breakdown → | 2015 | 573 |
| 3 | 2010 | 516 | |
| 4 | 2009 | 412 | |
| 5 | 2013 | 280 | |
| 6 | 2010 | 132 | |
| 7 | 2014 | 125 | |
| 8 | 2012 | 76 | |
| 9 | 2023 | 49 | |
| 10 | 2014 | 36 | |
| 11 | 2022 | 30 | |
| 12 | 2003 | 20 | |
| 13 | 2024 | 6 | |
| 14 | 2023 | 5 | |
| 15 | 2025 | 2 | |
| 16 | 2012 | 2 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2026 | 0 |
About Giulia Milan
Giulia Milan is a scholar working on Aging, Epidemiology, Molecular Biology, Cellular and Molecular Neuroscience and Geriatrics and Gerontology, having authored 20 papers that have together received 3.9k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (10 papers), Autophagy in Disease and Therapy (7 papers), Genetic Neurodegenerative Diseases (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Adipose Tissue and Metabolism (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Fatty Acid Research and Health (1 paper) and Cardiovascular Effects of Exercise (1 paper). The work is most often cited by research in Aging (212 citations), Geriatrics and Gerontology (219 citations), Physiology (1.2k citations), Rehabilitation (281 citations) and Cell Biology (692 citations). Giulia Milan has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Marco Sandri, Alfred Lewis Goldberg, Cristina Mammucari, Eva Masiero, Jinghui Zhao, Claudia Sandri, Stefano Schiaffino, Raffaella Di Lisi, Steven J. Burden and Bert Blaauw. Their work appears in journals such as Journal of Clinical Investigation, Cardiovascular Research, Nature Communications, Molecular Metabolism and The Journal of Cell Biology.
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.