Sergio Pasian

25 papers receiving 595 citations

Peers

Sergio Pasian
Comparison fields: 5 of 48
  • Cardiology and Cardiovascular Medicine 472
  • Health Informatics 18
  • Epidemiology 394
  • Radiology, Nuclear Medicine and Imaging 182
  • Pulmonary and Respiratory Medicine 226
Replace Marco Costa with:
Marco Costa Portugal
Aryabod Razipour United States
Anja Stundl Germany
Luba Frank United States
Anne S. Chin United States
Timothy Colen Canada
Evann Eisenberg United States
Panagiotis Tasoudis United States
Annamária Kosztin Hungary
Yuichiro Kado United States
Sergio Pasian relative to Marco Costa Portugal Marco Costa's profile →
Citations per field
00.5×5.7×
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Citations per year

Countries citing papers authored by Sergio Pasian

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Pasian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sergio Pasian, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sergio Pasian Line = papers co-authored together Sergio Pasian links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013207
2 201988
3 201464
4 201654
5 201631
6 201420
7 201418
8 201816
9 201416
10 202115
11 201515
12 201514
13 201511
14 20158
15 20205
16 20204
17 20174
18 20204
19 20134
20 20203

About Sergio Pasian

Sergio Pasian is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Surgery, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 26 papers that have together received 609 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (18 papers), Infective Endocarditis Diagnosis and Management (16 papers), Aortic Disease and Treatment Approaches (6 papers), Coronary Interventions and Diagnostics (5 papers), Cardiac Structural Anomalies and Repair (5 papers), Lung Cancer Diagnosis and Treatment (3 papers), Cardiovascular Function and Risk Factors (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (472 citations), Health Informatics (18 citations), Epidemiology (394 citations), Radiology, Nuclear Medicine and Imaging (182 citations) and Pulmonary and Respiratory Medicine (226 citations). Sergio Pasian has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Josep Rodés‐Cabau, Éric Dumont, Henrique Barbosa Ribeiro, Robert DeLarochellière, Ricardo Allende, Marina Ureña, Mélanie Côté, Daniel Doyle, Hugo De Larochellière and Luis Nombela‐Franco. Their work appears in journals such as JACC: Cardiovascular Interventions, The Annals of Thoracic Surgery, Revista Española de Cardiología (English Edition), The American Journal of Cardiology 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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