Eva Masiero
Impact in
- Aging top 1%
- Geriatrics and Gerontology top 1%
Papers in
-
- Muscle Physiology and Disorders 9
-
- Autophagy in Disease and Therapy 6
- Co-authors
- Marco Sandri (9 shared papers)Cristina Mammucari (4 shared papers)Stefano Schiaffino (4 shared papers)Giulia Milan (3 shared papers)Claudia Sandri (2 shared papers)Alfred L. Goldberg (2 shared papers)Jinghui Zhao (1 shared paper)Raffaella Di Lisi (1 shared paper)
- Journals
- Cell Metabolism (2 papers)Autophagy (2 papers)Cell Death and Differentiation (2 papers)Plants (2 papers)Frontiers in Plant Science (1 paper)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Eva Masiero
16 papers receiving 3.8k citations
Eva Masiero's Hit Papers
Peers
Comparison fields: 5 of 115
- Aging 165
- Geriatrics and Gerontology 220
- Physiology 1.2k
- Epidemiology 1.5k
- Rehabilitation 274
Countries citing papers authored by Eva Masiero
This map shows the geographic impact of Eva Masiero'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 Eva Masiero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Masiero more than expected).
Fields of papers citing papers by Eva Masiero
This network shows the impact of papers produced by Eva Masiero. 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 Eva Masiero. The network helps show where Eva Masiero may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Masiero, 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 | 1581 |
| 2 | Autophagy Is Required to Maintain Muscle Mass Hit paper breakdown → | 2009 | 980 |
| 3 | 2010 | 492 | |
| 4 | 2009 | 188 | |
| 5 | 2010 | 182 | |
| 6 | 2010 | 133 | |
| 7 | 2012 | 81 | |
| 8 | 2010 | 76 | |
| 9 | 2012 | 56 | |
| 10 | 2012 | 15 | |
| 11 | 2018 | 14 | |
| 12 | 2019 | 12 | |
| 13 | 2020 | 12 | |
| 14 | 2010 | 7 | |
| 15 | 2017 | 4 | |
| 16 | 2020 | 2 | |
| 17 | 2021 | 0 |
About Eva Masiero
Eva Masiero is a scholar working on Molecular Biology, Epidemiology, Cellular and Molecular Neuroscience, Cell Biology and Aging, having authored 17 papers that have together received 3.8k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (9 papers), Autophagy in Disease and Therapy (6 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Genetic Neurodegenerative Diseases (3 papers), Plant Pathogens and Fungal Diseases (2 papers), Lysosomal Storage Disorders Research (2 papers), Glycogen Storage Diseases and Myoclonus (2 papers) and Food Quality and Safety Studies (1 paper). The work is most often cited by research in Aging (165 citations), Geriatrics and Gerontology (220 citations), Physiology (1.2k citations), Epidemiology (1.5k citations) and Rehabilitation (274 citations). Eva Masiero has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Marco Sandri, Cristina Mammucari, Stefano Schiaffino, Giulia Milan, Claudia Sandri, Alfred L. Goldberg, Jinghui Zhao, Raffaella Di Lisi, Steven J. Burden and Lisa Agatea. Their work appears in journals such as Cell Metabolism, Autophagy, Cell Death and Differentiation, Plants and Frontiers in Plant Science.
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.