Paola Longati
- Hepatology top 0.5%
- Liver physiology and pathology 19
- Cell Biology top 2%
- Proteoglycans and glycosaminoglycans research 4
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research 4
- Molecular Biology top 5%
- PI3K/AKT/mTOR signaling in cancer 9
- Protein Kinase Regulation and GTPase Signaling 9
- Glycosylation and Glycoproteins Research 4
- Protein Tyrosine Phosphatases 3
- Oncology top 5%
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- Liver Disease Diagnosis and Treatment 3
- Co-authors
- Paolo M. ComoglioAlberto BardelliCarola PonzettoLuigi NaldiniLucia GandinoMaría PratElisa VignaRiccardo Ferracini
In The Last Decade
Paola Longati
31 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 106
- Hepatology 1.4k
- Cell Biology 472
- Immunology and Allergy 169
- Molecular Biology 1.8k
- Oncology 680
Countries citing papers authored by Paola Longati
This map shows the geographic impact of Paola Longati'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 Paola Longati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paola Longati more than expected).
Fields of papers citing papers by Paola Longati
This network shows the impact of papers produced by Paola Longati. 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 Paola Longati. The network helps show where Paola Longati may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paola Longati, 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 | 2013 | 299 | |
| 2 | 2011 | 16 | |
| 3 | 2005 | 114 | |
| 4 | 2003 | 64 | |
| 5 | 2002 | 247 | |
| 6 | 2001 | 49 | |
| 7 | 2000 | 156 | |
| 8 | 1999 | 56 | |
| 9 | 1999 | 55 | |
| 10 | 1999 | 80 | |
| 11 | 1999 | 5 | |
| 12 | 1999 | 23 | |
| 13 | 1997 | 118 | |
| 14 | 1996 | 143 | |
| 15 | Structural and functional domains critical for constitutive activation of the HGF-receptor (Met). | 1994 | 56 |
| 16 | Tyrosines1234-1235 are critical for activation of the tyrosine kinase encoded by the MET proto-oncogene (HGF receptor). | 1994 | 187 |
| 17 | 1993 | 157 | |
| 18 | 1991 | 52 | |
| 19 | 1991 | 38 | |
| 20 | 1991 | 159 |
About Paola Longati
Paola Longati is a scholar working on Hepatology, Immunology and Allergy and Cell Biology, having authored 31 papers that have together received 3.1k indexed citations. Recurring topics across this work include Liver physiology and pathology (19 papers), PI3K/AKT/mTOR signaling in cancer (9 papers), Protein Kinase Regulation and GTPase Signaling (9 papers), Glycosylation and Glycoproteins Research (4 papers), Cell Adhesion Molecules Research (4 papers), Proteoglycans and glycosaminoglycans research (4 papers), Liver Disease Diagnosis and Treatment (3 papers) and Protein Tyrosine Phosphatases (3 papers). The work is most often cited by research in Hepatology (1.4k citations), Cell Biology (472 citations) and Immunology and Allergy (169 citations). Paola Longati has collaborated with scholars based in Italy, Sweden and Germany. Frequent co-authors include Paolo M. Comoglio, Alberto Bardelli, Carola Ponzetto, Luigi Naldini, Lucia Gandino, María Prat, Elisa Vigna, Riccardo Ferracini, Silvia Giordano and Maria Cristina Stella. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.
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.