Gaia Berto
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Cellular transport and secretion
- Cellular Mechanics and Interactions
Papers in
-
- Ion channel regulation and function 2
- Signaling Pathways in Disease 2
- Cell Biology 13
- Microtubule and mitosis dynamics 8
- Cellular Mechanics and Interactions 6
- Cellular transport and secretion 5
- Co-authors
- Ferdinando Di Cunto (21 shared papers)F. Bianchi (10 shared papers)Marta Gai (10 shared papers)Paola Camera (7 shared papers)Gianmarco Pallavicini (8 shared papers)Francesco Sgrò (6 shared papers)Alessandro Dema (2 shared papers)Elena Scarpa (2 shared papers)
- Journals
- PLoS ONE (3 papers)Journal of Cell Science (3 papers)EMBO Reports (2 papers)Molecular Biology of the Cell (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- ItalyGermanyUnited Kingdom
In The Last Decade
Gaia Berto
21 papers receiving 625 citations
Peers
Comparison fields: 5 of 90
- Cell Biology 261
- Aging 9
- Developmental Neuroscience 19
- Molecular Biology 336
- Cellular and Molecular Neuroscience 66
Countries citing papers authored by Gaia Berto
This map shows the geographic impact of Gaia Berto'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 Gaia Berto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaia Berto more than expected).
Fields of papers citing papers by Gaia Berto
This network shows the impact of papers produced by Gaia Berto. 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 Gaia Berto. The network helps show where Gaia Berto may publish in the future.
Co-authors
The 25 scholars most cited alongside Gaia Berto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 102 | |
| 2 | 2011 | 94 | |
| 3 | 2016 | 63 | |
| 4 | 2007 | 46 | |
| 5 | 2014 | 39 | |
| 6 | 2015 | 38 | |
| 7 | 2014 | 33 | |
| 8 | 2018 | 32 | |
| 9 | 2018 | 30 | |
| 10 | 2018 | 24 | |
| 11 | 2008 | 17 | |
| 12 | 2020 | 16 | |
| 13 | 2012 | 14 | |
| 14 | 2018 | 14 | |
| 15 | 2017 | 12 | |
| 16 | 2019 | 11 | |
| 17 | 2011 | 11 | |
| 18 | 2021 | 10 | |
| 19 | 2013 | 8 | |
| 20 | 2019 | 7 |
About Gaia Berto
Gaia Berto is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Oncology and Genetics, having authored 21 papers that have together received 627 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (8 papers), Cellular Mechanics and Interactions (6 papers), Cellular transport and secretion (5 papers), Cancer-related Molecular Pathways (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Ion channel regulation and function (2 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Cell Biology (261 citations), Aging (9 citations), Developmental Neuroscience (19 citations), Molecular Biology (336 citations) and Cellular and Molecular Neuroscience (66 citations). Gaia Berto has collaborated with scholars based in Italy, Germany and United Kingdom. Frequent co-authors include Ferdinando Di Cunto, F. Bianchi, Marta Gai, Paola Camera, Gianmarco Pallavicini, Francesco Sgrò, Alessandro Dema, Elena Scarpa, Giulia Germena and Chiara Ambrogio. Their work appears in journals such as PLoS ONE, Journal of Cell Science, EMBO Reports, Molecular Biology of the Cell and Journal of Neuroscience.
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.