Peyman Tabrizi

14 total papers · 674 total citations
13 papers, 534 citations indexed

About

Peyman Tabrizi is a scholar working on Epidemiology, Surgery and Neurology. According to data from OpenAlex, Peyman Tabrizi has authored 13 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Surgery and 4 papers in Neurology. Recurrent topics in Peyman Tabrizi's work include Vascular Malformations Diagnosis and Treatment (4 papers), Head and Neck Surgical Oncology (3 papers) and Virus-based gene therapy research (3 papers). Peyman Tabrizi is often cited by papers focused on Vascular Malformations Diagnosis and Treatment (4 papers), Head and Neck Surgical Oncology (3 papers) and Virus-based gene therapy research (3 papers). Peyman Tabrizi collaborates with scholars based in United States. Peyman Tabrizi's co-authors include Berislav V. Zloković, Hiroyuki Shimada, Walter E. Laug, Tobey J. MacDonald, Takashi Taga, David A. Cheresh, Martin Weiß, J. Gordon McComb, Robert F. Spetzler and Franco DeMonte and has published in prestigious journals such as Arteriosclerosis Thrombosis and Vascular Biology, Journal of neurosurgery and Neurosurgery.

In The Last Decade

Peyman Tabrizi

13 papers receiving 525 citations

Author Peers

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

Author Last Decade Papers Cites
Peyman Tabrizi 214 122 120 116 114 13 534
Vincenza Caolo 310 1.4× 74 0.6× 46 0.4× 42 0.4× 69 0.6× 17 551
Ilse Timmerman 269 1.3× 73 0.6× 67 0.6× 90 0.8× 91 0.8× 18 484
Joshua M. Boucher 350 1.6× 40 0.3× 39 0.3× 60 0.5× 140 1.2× 13 575
Takuzou Moriyama 206 1.0× 41 0.3× 67 0.6× 69 0.6× 104 0.9× 14 495
M. Mirakhur 175 0.8× 38 0.3× 44 0.4× 58 0.5× 83 0.7× 17 524
Elaine M. Sassoon 131 0.6× 60 0.5× 66 0.6× 36 0.3× 103 0.9× 21 588
Patrick Laplante 175 0.8× 79 0.6× 44 0.4× 83 0.7× 60 0.5× 11 551
Kazuhito Matsuzawa 223 1.0× 55 0.5× 44 0.4× 58 0.5× 86 0.8× 14 511
Kou Nakagawa 259 1.2× 25 0.2× 113 0.9× 111 1.0× 159 1.4× 27 605
R. J. Weinel 219 1.0× 132 1.1× 73 0.6× 44 0.4× 133 1.2× 16 595

Countries citing papers authored by Peyman Tabrizi

Since Specialization
Citations

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

Fields of papers citing papers by Peyman Tabrizi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peyman Tabrizi

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