Federico Vaggi
Impact in
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- Microtubule and mitosis dynamics
- Cellular Mechanics and Interactions
- Cellular transport and secretion
Papers in
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- Heat shock proteins research 1
- Prion Diseases and Protein Misfolding 1
- Fungal and yeast genetics research 1
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- Endoplasmic Reticulum Stress and Disease 2
- Microtubule and mitosis dynamics 1
- Co-authors
- Attila Csikász‐Nagy (6 shared papers)Pier Paolo Di Fiore (1 shared paper)Masamitsu Sato (3 shared papers)James Dodgson (3 shared papers)Andrea Disanza (1 shared paper)Elisabetta Menna (1 shared paper)Francesca Milanesi (1 shared paper)Nir S. Gov (1 shared paper)
- Journals
- PLoS Computational Biology (2 papers)Nature Communications (1 paper)Annals of Botany (1 paper)Journal of Statistical Computation and Simulation (1 paper)Life Science Alliance (1 paper)
- Partner nations
- ItalyUnited KingdomJapan
In The Last Decade
Federico Vaggi
9 papers receiving 157 citations
Peers
Comparison fields: 5 of 55
- Aging 7
- Cell Biology 64
- Structural Biology 2
- Molecular Biology 78
- Acoustics and Ultrasonics 1
Countries citing papers authored by Federico Vaggi
This map shows the geographic impact of Federico Vaggi'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 Federico Vaggi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Vaggi more than expected).
Fields of papers citing papers by Federico Vaggi
This network shows the impact of papers produced by Federico Vaggi. 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 Federico Vaggi. The network helps show where Federico Vaggi may publish in the future.
Co-authors
The 25 scholars most cited alongside Federico Vaggi, 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 | 2011 | 45 | |
| 2 | 2013 | 39 | |
| 3 | 2015 | 28 | |
| 4 | 2019 | 19 | |
| 5 | 2019 | 13 | |
| 6 | 2012 | 8 | |
| 7 | 2014 | 5 | |
| 8 | 2020 | 1 | |
| 9 | 2016 | 1 |
About Federico Vaggi
Federico Vaggi is a scholar working on Molecular Biology, Cell Biology, Artificial Intelligence, Physiology and Computer Networks and Communications, having authored 9 papers that have together received 159 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (2 papers), Mineral Processing and Grinding (1 paper), Alzheimer's disease research and treatments (1 paper), Heat shock proteins research (1 paper), Cancer Genomics and Diagnostics (1 paper), Prion Diseases and Protein Misfolding (1 paper), Microtubule and mitosis dynamics (1 paper) and Fungal and yeast genetics research (1 paper). The work is most often cited by research in Aging (7 citations), Cell Biology (64 citations), Structural Biology (2 citations), Molecular Biology (78 citations) and Acoustics and Ultrasonics (1 citation). Federico Vaggi has collaborated with scholars based in Italy, United Kingdom and Japan. Frequent co-authors include Attila Csikász‐Nagy, Pier Paolo Di Fiore, Masamitsu Sato, James Dodgson, Andrea Disanza, Elisabetta Menna, Francesca Milanesi, Nir S. Gov, Giorgio Scita and Andrea Ciliberto. Their work appears in journals such as PLoS Computational Biology, Nature Communications, Annals of Botany, Journal of Statistical Computation and Simulation and Life Science Alliance.
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.