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.
Coronary Vasospasm as a Possible Cause of Myocardial Infarction
1978626 citationsAttilio Maseri, Antonio L’Abbate et al.New England Journal of Medicineprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of A Pesola'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 A Pesola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A Pesola more than expected).
This network shows the impact of papers produced by A Pesola. 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 A Pesola. The network helps show where A Pesola may publish in the future.
Co-authorship network of co-authors of A Pesola
This figure shows the co-authorship network connecting the top 25 collaborators of A Pesola.
A scholar is included among the top collaborators of A Pesola 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 A Pesola. A Pesola 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
1.
D’Alfonso, Alessandro, et al.. (2004). Left atrial cardiac hemangioma: a report of two cases.. PubMed. 5(4). 299–301.3 indexed citations
2.
Pesola, A, et al.. (1987). Efficacy of diltiazem in variant angina. Results of a double-blind crossover study in CCU by Holter monitoring. The possible occurrence of a withdrawal syndrome.. PubMed. 17(4). 329–39.13 indexed citations
3.
Maseri, Attilio, Antonio L’Abbate, G Baroldi, et al.. (1978). Coronary Vasospasm as a Possible Cause of Myocardial Infarction. New England Journal of Medicine. 299(23). 1271–1277.626 indexed citations breakdown →
Maseri, A, A Pesola, Antonio L’Abbate, et al.. (1977). Coronary vasoconstriction as a cause of angina pectoris at rest documented by angiography and by regional myocardial perfusion radioisotopic studies.. PubMed. 13(3). 291–7.2 indexed citations
Maseri, A, A Pesola, Carlo Contini, & Mario Marzilli. (1974). Localized functional reduction of myocardial perfusion in angina pectoris. Possible role of a "steal effect".. PubMed. Suppl 19. 135–46.1 indexed citations
Maseri, A, et al.. (1973). Hémodynamique pulmonaire et coronarienne dans la phase aiguë de l'infarctus du myocarde.. Archives Des Maladies Du Coeur Et Des Vaisseaux. 66(4).1 indexed citations
17.
Contini, Carlo, L Papi, A Pesola, et al.. (1973). Tissue reaction to intracavitary electrodes: effect on duration and efficiency of unipolar pacing in patients with A-V block.. PubMed. 14(3). 282–90.14 indexed citations
18.
Pesola, A, et al.. (1972). Myocardial blood flow measurements by radioactive rubidium and potassium. Importance and correct estimate of blood contribution without the use of an intravascular tracer.. PubMed. 15(3). 87–94.1 indexed citations
19.
Maseri, A, et al.. (1971). Method for the estimate of total coronary flow by 99 Tc tagged albumin microspheres.. PubMed. 15(2). 58–60.3 indexed citations
20.
Maseri, A, et al.. (1971). The effect of counting geometry on the significance of myocardial blood flow measurements by the injection method.. PubMed. 13(4). 140–7.3 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.