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.
Ambulatory blood pressure. An independent predictor of prognosis in essential hypertension.
19941.4k citationsP. Verdecchia, Carlo Porcellati et al.Hypertensionprofile →
Circadian blood pressure changes and left ventricular hypertrophy in essential hypertension.
1990988 citationsPaolo Verdecchia, Giuseppe Schillaci 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 C Gatteschi'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 C Gatteschi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C Gatteschi more than expected).
This network shows the impact of papers produced by C Gatteschi. 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 C Gatteschi. The network helps show where C Gatteschi may publish in the future.
Co-authorship network of co-authors of C Gatteschi
This figure shows the co-authorship network connecting the top 25 collaborators of C Gatteschi.
A scholar is included among the top collaborators of C Gatteschi 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 C Gatteschi. C Gatteschi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
13 of 13 papers shown
1.
Verdecchia, Paolo, Giuseppe Schillaci, M Guerrieri, et al.. (2011). hypertension Circadian blood pressure changes and left ventricular hypertrophy in essential.
2.
Verdecchia, P., Carlo Porcellati, Giuseppe Schillaci, et al.. (1994). Ambulatory blood pressure. An independent predictor of prognosis in essential hypertension.. Hypertension. 24(6). 793–801.1350 indexed citations breakdown →
Verdecchia, Paolo, Giuseppe Schillaci, M Guerrieri, et al.. (1990). Circadian blood pressure changes and left ventricular hypertrophy in essential hypertension.. Circulation. 81(2). 528–536.988 indexed citations breakdown →
6.
Verdecchia, Paolo, Giuseppe Schillaci, Francesca Boldrini, et al.. (1990). [Noninvasive ambulatory monitoring of arterial pressure in hypertensive patients: inside or outside the hospital?].. PubMed. 35(11). 911–7.1 indexed citations
Porcellati, Carlo, et al.. (1989). [Echocardiographic analysis of the left ventricle in patients with type II diabetes mellitus].. PubMed. 19(2). 128–35.2 indexed citations
Verdecchia, Paolo, et al.. (1988). Duration of the antihypertensive action of atenolol, enalapril and placebo: a randomized within-patient study using ambulatory blood pressure monitoring.. PubMed. 26(11). 570–4.5 indexed citations
11.
Verdecchia, Paolo, C Gatteschi, G Benemio, et al.. (1988). Home ambulatory blood pressure readings do not differ from clinic readings taken at the same time of day.. PubMed. 2(4). 235–40.5 indexed citations
Puxeddu, A, R Ribacchi, L. Scionti, C Gatteschi, & Mauro Berrettini. (1981). Disseminated intravascular coagulation in dissecting aortic aneurysm. A case report.. PubMed. 23(1). 39–42.3 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.