Roberta Peruzzo
Impact in
- Physiology top 10%
-
- Mitochondrial Function and Pathology
- Ion channel regulation and function
- ATP Synthase and ATPases Research
- PI3K/AKT/mTOR signaling in cancer
Papers in
-
- Ion channel regulation and function 8
- Mitochondrial Function and Pathology 8
- ATP Synthase and ATPases Research 4
- Ubiquitin and proteasome pathways 2
- Signaling Pathways in Disease 1
- Metabolism, Diabetes, and Cancer 1
-
- Neuroscience and Neuropharmacology Research 2
- Co-authors
- Ildikò Szabó (11 shared papers)Luigi Leanza (13 shared papers)Roberto Zoncu (3 shared papers)Lucia Biasutto (5 shared papers)Mario Zoratti (6 shared papers)Roberto Costa (4 shared papers)Magdalena Bachmann (4 shared papers)Michele Azzolini (3 shared papers)
- Journals
- Nature Reviews Molecular Cell Biology (2 papers)Cancers (2 papers)Cell Death and Disease (1 paper)Nature Communications (1 paper)Cell Reports (1 paper)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Roberta Peruzzo
20 papers receiving 544 citations
Roberta Peruzzo's Hit Papers
Peers
Comparison fields: 5 of 86
- Physiology 30
- Molecular Biology 399
- Aging 7
- Cell Biology 65
- Geriatrics and Gerontology 15
Countries citing papers authored by Roberta Peruzzo
This map shows the geographic impact of Roberta Peruzzo'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 Roberta Peruzzo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberta Peruzzo more than expected).
Fields of papers citing papers by Roberta Peruzzo
This network shows the impact of papers produced by Roberta Peruzzo. 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 Roberta Peruzzo. The network helps show where Roberta Peruzzo may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberta Peruzzo, 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 | The molecular basis of nutrient sensing and signalling by mTORC1 in metabolism regulation and disease Hit paper breakdown → | 2023 | 101 |
| 2 | 2019 | 69 | |
| 3 | 2016 | 44 | |
| 4 | 2016 | 42 | |
| 5 | 2019 | 34 | |
| 6 | 2017 | 33 | |
| 7 | 2018 | 29 | |
| 8 | 2020 | 27 | |
| 9 | 2019 | 24 | |
| 10 | 2021 | 20 | |
| 11 | 2018 | 20 | |
| 12 | 2022 | 19 | |
| 13 | 2022 | 19 | |
| 14 | 2021 | 16 | |
| 15 | 2017 | 16 | |
| 16 | 2021 | 11 | |
| 17 | 2021 | 10 | |
| 18 | 2023 | 8 | |
| 19 | 2021 | 2 | |
| 20 | 2024 | 2 |
About Roberta Peruzzo
Roberta Peruzzo is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Developmental Neuroscience and Pharmacology, having authored 20 papers that have together received 546 indexed citations. Recurring topics across this work include Ion channel regulation and function (8 papers), Mitochondrial Function and Pathology (8 papers), ATP Synthase and ATPases Research (4 papers), Neuroscience and Neuropharmacology Research (2 papers), Ubiquitin and proteasome pathways (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Signaling Pathways in Disease (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Physiology (30 citations), Molecular Biology (399 citations), Aging (7 citations), Cell Biology (65 citations) and Geriatrics and Gerontology (15 citations). Roberta Peruzzo has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Ildikò Szabó, Luigi Leanza, Roberto Zoncu, Lucia Biasutto, Mario Zoratti, Roberto Costa, Magdalena Bachmann, Michele Azzolini, Vanessa Checchetto and Andrea Mattarei. Their work appears in journals such as Nature Reviews Molecular Cell Biology, Cancers, Cell Death and Disease, Nature Communications and Cell Reports.
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.