Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Risk Stratification in the Long-QT Syndrome
2003953 citationsSilvia G. Priori, Peter J. Schwartz et al.New England Journal of Medicineprofile →
Natural History of Brugada Syndrome
2002690 citationsSilvia G. Priori, Carlo Napolitano et al.Circulationprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of E Ronchetti'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 E Ronchetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E Ronchetti more than expected).
This network shows the impact of papers produced by E Ronchetti. 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 E Ronchetti. The network helps show where E Ronchetti may publish in the future.
Co-authorship network of co-authors of E Ronchetti
This figure shows the co-authorship network connecting the top 25 collaborators of E Ronchetti.
A scholar is included among the top collaborators of E Ronchetti 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 E Ronchetti. E Ronchetti is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Napolitano, Carlo, Silvia G. Priori, Peter J. Schwartz, et al.. (2005). Genetic Testing in the Long QT Syndrome. JAMA. 294(23). 2975–2975.344 indexed citations
3.
Priori, Silvia G., Peter J. Schwartz, Carlo Napolitano, et al.. (2003). Risk Stratification in the Long-QT Syndrome. New England Journal of Medicine. 348(19). 1866–1874.953 indexed citations breakdown →
4.
Priori, Silvia G., Carlo Napolitano, Maurizio Gasparini, et al.. (2002). Natural History of Brugada Syndrome. Circulation. 105(11). 1342–1347.690 indexed citations breakdown →
Rosati, Riccardo, C. Rebuffat, Uberto Fumagalli, et al.. (1993). Anastomotic healing in dogs under cortisone treatment. A pilot study comparing compression and stapled anastomosis.. PubMed. 77(4). 293–6.1 indexed citations
Montorsi, Marco, Alberto M. Settembrini, E Ronchetti, et al.. (1991). [Aneurysms in various segments of the hepatic artery. Treatment by resection].. PubMed. 45(5). 414–7.4 indexed citations
16.
Ronchetti, E, et al.. (1990). Cell kinetics of PHA-activated lymphocytes are slowed by prolonged hypertonic stress.. PubMed. 34(4). 269–79.1 indexed citations
17.
Bottone, Maria Grazia, E Ronchetti, & C. Pellicciari. (1989). Digestion of chromatin DNA with DNAse I in situ: effect of ethanol fixation.. PubMed. 33(4). 347–50.3 indexed citations
18.
Sala, Sergio Della, Angelo Nespoli, E Ronchetti, & Hans Spinnler. (1984). Advances in Hepatic Encephalopathy and Urea Cycle Diseases.51 indexed citations
19.
Marchiori, Antonio, et al.. (1983). Drug addiction and drug-related deaths: anatomic and pathological aspects.. PubMed. 33(1). 813–7.1 indexed citations
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.