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.
Large Artery Remodeling and Dynamics following Simulated Microgravity by Prolonged Head-Down Tilt Bed Rest in Humans
2015643 citationsCarlo Palombo, C. Morizzo et al.profile →
Arterial stiffness, atherosclerosis and cardiovascular risk: Pathophysiologic mechanisms and emerging clinical indications
2015347 citationsCarlo Palombo, M. Kozàkovàprofile →
Citations per year, relative to Carlo Palombo Carlo Palombo (= 1×)
peers
M. Kozàkovà
Countries citing papers authored by Carlo Palombo
Since
Specialization
Citations
This map shows the geographic impact of Carlo Palombo'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 Carlo Palombo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlo Palombo more than expected).
This network shows the impact of papers produced by Carlo Palombo. 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 Carlo Palombo. The network helps show where Carlo Palombo may publish in the future.
Co-authorship network of co-authors of Carlo Palombo
This figure shows the co-authorship network connecting the top 25 collaborators of Carlo Palombo.
A scholar is included among the top collaborators of Carlo Palombo 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 Carlo Palombo. Carlo Palombo is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Fabiani, Iacopo, Carlo Palombo, Davide Caramella, Jan Nilsson, & Raffaele De Caterina. (2020). Imaging of the vulnerable carotid plaque. Neurology. 94(21). 922–932.37 indexed citations
6.
Fraser, Alan G., et al.. (2013). Ultrasonic imaging of the carotid arteries, from intima-media thickness to histological markers for plaque vulnerability: what do we know?. 18(2). 87–98.4 indexed citations
7.
Palombo, Carlo, Monica Failla, Silvia Maestroni, et al.. (2007). Comparison of videodensitometric analysis and integrated backscatter tissue characterization by ultrasound in carotid arteries. Journal of Hypertension. 25.1 indexed citations
8.
Morizzo, C., Elza Muscelli, M. Kozàkovà, et al.. (2007). Visceral adiposity as the main determinant of carotid stiffness in a health population with a wide BMI and age range: evidence from an echo-tracking approach. Hypertension. 50(4). 818.1 indexed citations
9.
Gregorini, L, Carlo Palombo, Irene Bossi, et al.. (2000). Normalization of coronary flow reserve after coronary stenting and alpha-adrenergic antagonists. Journal of the American College of Cardiology. 35(4).
10.
Gregorini, L, Carlo Palombo, M. Kozàkovà, et al.. (1999). Coronary flow reserve changes induced by a1– and a2- adrenergic blockade. Circulation. 100(18). 376–376.5 indexed citations
11.
Sampietro, Tiziana, Carlo Palombo, M. Kozàkovà, et al.. (1998). Improvement of endothelial adhesiveness and carotid artery geometry by short term atorvastatin therapy. Circulation. 98. 101–101.3 indexed citations
12.
Palombo, Carlo, et al.. (1997). Transesophageal Echo-Doppler for Study of Coronary Flow Reserve: Feasibility and Normalcy Criteria. Journal of the American College of Cardiology. 29(2). 7793–7793.
13.
Palombo, Carlo, et al.. (1996). Structural and functional adaptation of coronary circulation in endurance athletes: a study b y transesophageal echo-doppler. European Heart Journal. 17. 89.
14.
Paolicchi, Aldo, Giuseppe Teti, Francesco Giunta, et al.. (1995). Assessment of Cerebral Blood Flow during Aortic Clamping and Declamping in Patients Undergoing Abdominal Aortic Aneurysmectomy: a Study by Transcranial Doppler. European Journal of Neurology. 2. 41.4 indexed citations
15.
Kozàkovà, M., Carlo Palombo, A. Distante, & Antonio L’Abbate. (1994). Delayed Coronary Flow Response to Dipyridamole in Presence of Left Ventricular Hypertrophy. American Journal of Hypertension. 7.
16.
Palombo, Carlo, et al.. (1994). CORONARY PRESSURE-FLOW DIAGRAMS DURING MAXIMAL VASODILATION AS ASSESSED BY TRANSESOPHAGEAL DOPPLER OF LEFT CORONARY-ARTERY - A NEW TOOL FOR EVALUATION OF ABSOLUTE CORONARY FLOW RESERVE. Journal of the American College of Cardiology.2 indexed citations
17.
Palombo, Carlo, et al.. (1993). ANTIHYPERTENSIVE THERAPY IMPROVES REGIONAL MYOCARDIAL BLOOD-FLOW AND REDUCES PERFUSION DYSHOMOGENEITY IN PATIENTS WITH HYPERTENSION AND NO CORONARY-ARTERY DISEASE. Circulation. 88. 168–168.
18.
Palombo, Carlo, et al.. (1993). Dependence of Exercise Capacity on Resting Left Ventricular Function and Myocardial Perfusion in Patients with Essential Hypertension and Normal Coronary Arteries. European Heart Journal. 14. 315.1 indexed citations
19.
Palombo, Carlo, et al.. (1993). Differential Effects of Nifedipine on Carotid Artery Function in Patients with Essential Hypertension: an Echo Doppler Study. European Heart Journal. 14. 260.1 indexed citations
20.
Fommei, Enza, S Ghione, Mauro Ferrari, et al.. (1986). CAPTOPRIL SCINTIGRAPHY IN ARTERIAL-HYPERTENSION - EVALUATION OF SCINTIGRAPHIC RESULTS IN RELATION TO BLOOD-PRESSURE AND RENIN RESPONSES. Journal of Hypertension. 4.1 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.