Stefano Pansini

42 total papers · 1.2k total citations
30 papers, 867 citations indexed

About

Stefano Pansini is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Epidemiology. According to data from OpenAlex, Stefano Pansini has authored 30 papers receiving a total of 867 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cardiology and Cardiovascular Medicine, 19 papers in Surgery and 12 papers in Epidemiology. Recurrent topics in Stefano Pansini's work include Cardiac Valve Diseases and Treatments (14 papers), Cardiac, Anesthesia and Surgical Outcomes (8 papers) and Infective Endocarditis Diagnosis and Management (8 papers). Stefano Pansini is often cited by papers focused on Cardiac Valve Diseases and Treatments (14 papers), Cardiac, Anesthesia and Surgical Outcomes (8 papers) and Infective Endocarditis Diagnosis and Management (8 papers). Stefano Pansini collaborates with scholars based in Italy, United States and Belarus. Stefano Pansini's co-authors include M Morea, Gianmaria Ottino, F Orzan, Michele di Summa, Paolo Costa, Giuseppe Rocca, Chiara Comoglio, Maria Vittoria Tallone, Ruggero De Paulis and Angela Pucci and has published in prestigious journals such as American Heart Journal, Transplantation and Journal of Thoracic and Cardiovascular Surgery.

In The Last Decade

Stefano Pansini

29 papers receiving 812 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Stefano Pansini	548	517	395	198	47	30	867
Dumbor L. Ngaage	695 1.3×	478 0.9×	247 0.6×	117 0.6×	43 0.9×	60	999
Sreekumar Subramanian	423 0.8×	396 0.8×	466 1.2×	185 0.9×	49 1.0×	43	808
Silvia Cirri	296 0.5×	353 0.7×	220 0.6×	185 0.9×	33 0.7×	45	757
Pierre Wauthy	510 0.9×	218 0.4×	554 1.4×	250 1.3×	29 0.6×	36	810
Igor Zindovic	436 0.8×	191 0.4×	542 1.4×	145 0.7×	21 0.4×	51	766
Emmanouil Ι. Kapetanakis	535 1.0×	517 1.0×	240 0.6×	73 0.4×	31 0.7×	61	877
Manoj Kuduvalli	491 0.9×	381 0.7×	376 1.0×	122 0.6×	33 0.7×	52	928
Andrea L. Axtell	402 0.7×	360 0.7×	219 0.6×	179 0.9×	42 0.9×	45	829
Matthew Slater	222 0.4×	626 1.2×	298 0.8×	183 0.9×	18 0.4×	34	929
James V. Richardson	375 0.7×	420 0.8×	498 1.3×	500 2.5×	42 0.9×	31	988

Countries citing papers authored by Stefano Pansini

Since Specialization

Citations

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

Fields of papers citing papers by Stefano Pansini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Pansini

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Pansini. A scholar is included among the top collaborators of Stefano Pansini 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 Stefano Pansini. Stefano Pansini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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