Paola Longati

3.7k citations
31 papers · 3.1k indexed · h-index 25
Topics
Liver physiology and pathology (19 papers)PI3K/AKT/mTOR signaling in cancer (9 papers)Protein Kinase Regulation and GTPase Signaling (9 papers)
Partner nations
ItalySwedenGermany

In The Last Decade

Paola Longati

31 papers receiving 3.1k citations

Peers

Paola Longati
Comparison fields: 5 of 106
  • Molecular Biology 1.8k
  • Hepatology 1.4k
  • Oncology 680
  • Surgery 504
  • Cell Biology 472
Replace Radha P. Narsimhan with:
Radha P. Narsimhan United States
Simona Corso Italy
Marina Holgado-Madruga United States
I D Goldberg United States
Mariana Capurro Canada
Yitzhak Zimmer Switzerland
Tokuzo Arao Japan
Joan Levy United States
Bruce E. Elliott Canada
Anthony R. Howlett United States
Paola Longati relative to Radha P. Narsimhan United States Radha P. Narsimhan's profile →
Citations per field
00.5×3.2×
Radha P. Narsimhan · 1×
Citations per year

Countries citing papers authored by Paola Longati

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Paola Longati

This figure shows the co-authorship network connecting the top 25 collaborators of Paola Longati. A scholar is included among the top collaborators of Paola Longati based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Paola Longati. Paola Longati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 299
2 16
3 114
4 64
5 247
6 49
7 156
8 56
9 55
10 80
11 5
12 23
13 118
14 143
15
Structural and functional domains critical for constitutive activation of the HGF-receptor (Met).
56
16
Tyrosines1234-1235 are critical for activation of the tyrosine kinase encoded by the MET proto-oncogene (HGF receptor).
187
17 157
18 52
19 38
20 159

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) and Protein Kinase Regulation and GTPase Signaling (9 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.

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