Paymon Azizi

29 total papers · 560 total citations
18 papers, 395 citations indexed

About

Paymon Azizi is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Paymon Azizi has authored 18 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 8 papers in Surgery and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Paymon Azizi's work include Aortic aneurysm repair treatments (4 papers), Acute Myocardial Infarction Research (4 papers) and Cardiac, Anesthesia and Surgical Outcomes (3 papers). Paymon Azizi is often cited by papers focused on Aortic aneurysm repair treatments (4 papers), Acute Myocardial Infarction Research (4 papers) and Cardiac, Anesthesia and Surgical Outcomes (3 papers). Paymon Azizi collaborates with scholars based in Canada, United States and Australia. Paymon Azizi's co-authors include Warren L. Lee, Bryan Heit, Changsen Wang, Steffen‐Sebastian Bolz, Amira Klip, Jun Liu, Peter C. Austin, Maria Koh, Dennis T. Ko and Harindra C. Wijeysundera and has published in prestigious journals such as Diabetes, Molecular Biology of the Cell and Cardiovascular Research.

In The Last Decade

Paymon Azizi

17 papers receiving 385 citations

Author Peers

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

Author Last Decade Papers Cites
Paymon Azizi 126 93 88 78 67 18 395
Aydın Güçlü 80 0.6× 101 1.1× 91 1.0× 73 0.9× 84 1.3× 23 400
Joanna Suraj 88 0.7× 102 1.1× 57 0.6× 41 0.5× 55 0.8× 23 343
Weili Pan 82 0.7× 110 1.2× 90 1.0× 39 0.5× 56 0.8× 26 349
Yi Wang 124 1.0× 49 0.5× 98 1.1× 45 0.6× 46 0.7× 19 357
Ida U Njerve 159 1.3× 117 1.3× 47 0.5× 67 0.9× 67 1.0× 23 369
Anna Bar 120 1.0× 99 1.1× 55 0.6× 32 0.4× 96 1.4× 27 366
Biao Xu 105 0.8× 201 2.2× 43 0.5× 47 0.6× 74 1.1× 17 440
Hengdao Liu 62 0.5× 182 2.0× 68 0.8× 72 0.9× 50 0.7× 26 389
Lillemor Mattsson-Hultén 87 0.7× 121 1.3× 137 1.6× 77 1.0× 28 0.4× 12 371
Hitoshi Omi 80 0.6× 91 1.0× 61 0.7× 61 0.8× 43 0.6× 12 337

Countries citing papers authored by Paymon Azizi

Since Specialization
Citations

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

Fields of papers citing papers by Paymon Azizi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paymon Azizi

This figure shows the co-authorship network connecting the top 25 collaborators of Paymon Azizi. A scholar is included among the top collaborators of Paymon Azizi 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 Paymon Azizi. Paymon Azizi 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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