Alessandro Pappalardo

1.1k citations
31 papers · 784 indexed · h-index 15
Topics
Coronary Interventions and Diagnostics (7 papers)Acute Myocardial Infarction Research (4 papers)Cardiac Imaging and Diagnostics (3 papers)
Partner nations
ItalyUnited StatesSpain

In The Last Decade

Alessandro Pappalardo

30 papers receiving 751 citations

Peers

Alessandro Pappalardo
Comparison fields: 5 of 96
  • Surgery 282
  • Radiology, Nuclear Medicine and Imaging 182
  • Cardiology and Cardiovascular Medicine 177
  • Artificial Intelligence 150
  • Pulmonary and Respiratory Medicine 140
Replace Marek Śmieja with:
Marek Śmieja Poland
G.J.H. Uijen Netherlands
Jingyuan Yang China
Junhan Zhao United States
Vincenzo De Angelis Italy
Tony Wing Chung Mak Hong Kong
Kan Deng China
Tao Gan China
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Citations per field
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Citations per year

Countries citing papers authored by Alessandro Pappalardo

Since Specialization
Citations

This map shows the geographic impact of Alessandro Pappalardo'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 Alessandro Pappalardo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro Pappalardo more than expected).

Fields of papers citing papers by Alessandro Pappalardo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alessandro Pappalardo. 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 Alessandro Pappalardo. The network helps show where Alessandro Pappalardo may publish in the future.

Co-authorship network of co-authors of Alessandro Pappalardo

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Pappalardo. A scholar is included among the top collaborators of Alessandro Pappalardo 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 Alessandro Pappalardo. Alessandro Pappalardo 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 1
2 3
3 3
4 8
5 4
6 23
7 3
8 26
9 1
10 20
11 41
12 103
13 41
14 8
15 15
16
The Spicy Project: A New Approach to Data Matching.
1
17 60
18 3
19 73
20
A reappraisal of the factors affecting early patency of aortocoronary saphenous vein bypass grafts. Current experience with extensive revascularization employing sequential grafting techniques.
1

About Alessandro Pappalardo

Alessandro Pappalardo is a scholar working on Genetics, Cardiology and Cardiovascular Medicine and Artificial Intelligence, having authored 31 papers that have together received 784 indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (7 papers), Acute Myocardial Infarction Research (4 papers) and Cardiac Imaging and Diagnostics (3 papers). The work is most often cited by research in Hematology (125 citations), Genetics (103 citations) and Radiology, Nuclear Medicine and Imaging (182 citations). Alessandro Pappalardo has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Salvatore Raunich, Giansalvatore Mecca, Alessandro Manzoli, Vito Ramazzotti, Fabrizio Imola, Mario Albertucci, Francesco Prati, Alessandro Di Giorgio, Maria Teresa Mallus and Michaela Blott. Their work appears in journals such as Circulation, Journal of Clinical Oncology and Journal of the American College of Cardiology.

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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