Andrea Armani
- Physiology top 0.5%
- Adipose Tissue and Metabolism 3
- Calcium signaling and nucleotide metabolism 2
- Aging top 5%
- Physiology top 5%
- Adipose Tissue and Metabolism 3
- Calcium signaling and nucleotide metabolism 2
- Geriatrics and Gerontology top 5%
- Cell Biology top 5%
- Muscle metabolism and nutrition 3
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- Muscle Physiology and Disorders 6
- Fibroblast Growth Factor Research 2
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- Autophagy in Disease and Therapy 5
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- Viral gastroenteritis research and epidemiology 1
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- Genetic Syndromes and Imprinting 1
- Co-authors
- Marco SandriBert BlaauwVanina RomanelloAndrea BallabioSimone Di PaolaDiego L. MedinaHaoxing XuAnna Scotto Rosato
- Cited by
- PhysiologyAging
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Andrea Armani
19 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Physiology 443
- Aging 68
- Physiology 743
- Geriatrics and Gerontology 106
- Cell Biology 439
Countries citing papers authored by Andrea Armani
This map shows the geographic impact of Andrea Armani'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 Andrea Armani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Armani more than expected).
Fields of papers citing papers by Andrea Armani
This network shows the impact of papers produced by Andrea Armani. 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 Andrea Armani. The network helps show where Andrea Armani may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andrea Armani, 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 | 2024 | 0 | |
| 2 | 2022 | 49 | |
| 3 | 2022 | 27 | |
| 4 | 2021 | 85 | |
| 5 | 2021 | 18 | |
| 6 | 2020 | 6 | |
| 7 | 2019 | 41 | |
| 8 | 2019 | 37 | |
| 9 | 2019 | 155 | |
| 10 | 2018 | 34 | |
| 11 | 2018 | 36 | |
| 12 | 2018 | 22 | |
| 13 | 2018 | 24 | |
| 14 | 2018 | 21 | |
| 15 | 2018 | 9 | |
| 16 | 2017 | 107 | |
| 17 | 2016 | 16 | |
| 18 | Regulation of autophagy and the ubiquitin–proteasome system by the FoxO transcriptional network during muscle atrophybreakdown → | 2015 | 533 |
| 19 | Lysosomal calcium signalling regulates autophagy through calcineurin and TFEBbreakdown → | 2015 | 1060 |
| 20 | 2015 | 146 |
About Andrea Armani
Andrea Armani is a scholar working on Aging, Physiology and Cell Biology, having authored 20 papers that have together received 2.4k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (6 papers), Autophagy in Disease and Therapy (5 papers), Muscle metabolism and nutrition (3 papers), Adipose Tissue and Metabolism (3 papers), Fibroblast Growth Factor Research (2 papers), Calcium signaling and nucleotide metabolism (2 papers), Viral gastroenteritis research and epidemiology (1 paper) and Genetic Syndromes and Imprinting (1 paper). The work is most often cited by research in Physiology (443 citations), Aging (68 citations) and Physiology (743 citations). Andrea Armani has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Marco Sandri, Bert Blaauw, Vanina Romanello, Andrea Ballabio, Simone Di Paola, Diego L. Medina, Haoxing Xu, Anna Scotto Rosato, Wuyang Wang and Sandro Montefusco. Their work appears in journals such as Science, Nature Communications and Nature 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.