Samuel Unzek

67 total papers · 2.2k total citations
36 papers, 1.5k citations indexed

About

Samuel Unzek is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Samuel Unzek has authored 36 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cardiology and Cardiovascular Medicine, 13 papers in Surgery and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Samuel Unzek's work include Cardiac Imaging and Diagnostics (7 papers), Infective Endocarditis Diagnosis and Management (5 papers) and Cardiovascular Function and Risk Factors (4 papers). Samuel Unzek is often cited by papers focused on Cardiac Imaging and Diagnostics (7 papers), Infective Endocarditis Diagnosis and Management (5 papers) and Cardiovascular Function and Risk Factors (4 papers). Samuel Unzek collaborates with scholars based in United States, Pakistan and India. Samuel Unzek's co-authors include Marc S. Penn, Zoran Popović, Eric J. Topol, Stephen G. Ellis, Corey K. Goldman, Paul E. DiCorleto, Arman T. Askari, James D. Thomas, Farhad Forudi and Aleksandr Rovner and has published in prestigious journals such as The Lancet, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Samuel Unzek

30 papers receiving 1.5k citations

Hit Papers

Effect of stromal-cell-de... 2003 2026 2010 2018 2003 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Samuel Unzek 601 551 501 434 217 36 1.5k
Aleksandr Rovner 513 0.9× 458 0.8× 437 0.9× 578 1.3× 194 0.9× 22 1.5k
Jeffrey Zimmet 487 0.8× 625 1.1× 405 0.8× 273 0.6× 114 0.5× 38 1.6k
Torstein Egeland 789 1.3× 563 1.0× 763 1.5× 248 0.6× 142 0.7× 40 1.8k
Hiroshi Kamihata 648 1.1× 712 1.3× 509 1.0× 620 1.4× 100 0.5× 39 1.7k
Hans Theiß 498 0.8× 394 0.7× 300 0.6× 638 1.5× 278 1.3× 68 1.5k
Niladri Mal 580 1.0× 427 0.8× 499 1.0× 338 0.8× 115 0.5× 19 1.2k
David Simper 595 1.0× 755 1.4× 394 0.8× 236 0.5× 127 0.6× 19 1.4k
Perpétua Pinto‐do‐Ó 552 0.9× 902 1.6× 235 0.5× 302 0.7× 155 0.7× 54 1.8k
Karl‐Henrik Grinnemo 643 1.1× 749 1.4× 380 0.8× 265 0.6× 110 0.5× 54 1.6k
Wulf Ito 562 0.9× 1.0k 1.9× 186 0.4× 249 0.6× 206 0.9× 44 1.7k

Countries citing papers authored by Samuel Unzek

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Unzek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Unzek

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