Ferruccio Galbiati
- Cell Biology top 0.05%
- Caveolin-1 and cellular processes 60
- Molecular Biology top 1%
- Metabolism, Diabetes, and Cancer 29
- RNA Research and Splicing 12
- Signaling Pathways in Disease 7
- Ion Transport and Channel Regulation 5
- Physiology top 1%
- Erythrocyte Function and Pathophysiology 10
- Cancer Research top 2%
- MicroRNA in disease regulation 4
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- Lipid metabolism and disorders 7
- Co-authors
- Michael P. LisantiDaniela VolontéJeffrey A. EngelmanBabak RazaniCarlo MinettiPhilipp E. SchererRichard G. PestellJanine N. Bartholomew
- Journals
- Journal of Biological Chemistry (19 papers)FEBS Letters (5 papers)Molecular Biology of the Cell (5 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Ferruccio Galbiati
68 papers receiving 7.9k citations
Peers
Comparison fields: 5 of 118
- Cell Biology 5.5k
- Molecular Biology 5.7k
- Physiology 1.5k
- Cancer Research 777
- Cardiology and Cardiovascular Medicine 1.1k
Countries citing papers authored by Ferruccio Galbiati
This map shows the geographic impact of Ferruccio Galbiati'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 Ferruccio Galbiati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ferruccio Galbiati more than expected).
Fields of papers citing papers by Ferruccio Galbiati
This network shows the impact of papers produced by Ferruccio Galbiati. 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 Ferruccio Galbiati. The network helps show where Ferruccio Galbiati may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ferruccio Galbiati, 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 | 4 | |
| 2 | 2020 | 47 | |
| 3 | 2017 | 37 | |
| 4 | 2013 | 41 | |
| 5 | 2011 | 39 | |
| 6 | 2011 | 97 | |
| 7 | 2009 | 93 | |
| 8 | 2009 | 40 | |
| 9 | 2007 | 13 | |
| 10 | 2006 | 184 | |
| 11 | 2003 | 58 | |
| 12 | 2002 | 179 | |
| 13 | 2002 | 92 | |
| 14 | 2001 | 234 | |
| 15 | 2000 | 123 | |
| 16 | 1999 | 121 | |
| 17 | 1999 | 185 | |
| 18 | 1998 | 115 | |
| 19 | 1998 | 128 | |
| 20 | 1998 | 419 |
About Ferruccio Galbiati
Ferruccio Galbiati is a scholar working on Cell Biology, Molecular Biology, Cancer Research, Cardiology and Cardiovascular Medicine and Physiology, having authored 69 papers that have together received 8.0k indexed citations. Recurring topics across this work include Caveolin-1 and cellular processes (60 papers), Metabolism, Diabetes, and Cancer (29 papers), RNA Research and Splicing (12 papers), Erythrocyte Function and Pathophysiology (10 papers), Signaling Pathways in Disease (7 papers), Lipid metabolism and disorders (7 papers), Ion Transport and Channel Regulation (5 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Cell Biology (5.5k citations), Molecular Biology (5.7k citations), Physiology (1.5k citations), Cancer Research (777 citations) and Cardiology and Cardiovascular Medicine (1.1k citations). Ferruccio Galbiati has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Michael P. Lisanti, Daniela Volonté, Jeffrey A. Engelman, Babak Razani, Carlo Minetti, Philipp E. Scherer, Richard G. Pestell, Janine N. Bartholomew, Takashi Okamoto and Federica Sotgia. Their work appears in journals such as Journal of Biological Chemistry, FEBS Letters, Molecular Biology of the Cell, The FASEB Journal and Proceedings of the National Academy of Sciences.
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.