Steven Dzwonczyk

40 total papers · 2.0k total citations
36 papers, 1.7k citations indexed

About

Steven Dzwonczyk is a scholar working on Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, Steven Dzwonczyk has authored 36 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Pathology and Forensic Medicine, 17 papers in Cardiology and Cardiovascular Medicine and 13 papers in Molecular Biology. Recurrent topics in Steven Dzwonczyk's work include Cardiac Ischemia and Reperfusion (27 papers), Cardiac electrophysiology and arrhythmias (15 papers) and Ion channel regulation and function (8 papers). Steven Dzwonczyk is often cited by papers focused on Cardiac Ischemia and Reperfusion (27 papers), Cardiac electrophysiology and arrhythmias (15 papers) and Ion channel regulation and function (8 papers). Steven Dzwonczyk collaborates with scholars based in United States, Germany and Sweden. Steven Dzwonczyk's co-authors include Paul G. Sleph, G. J. Grover, Gary J. Grover, Charles S. Parham, Diane E. Normandin, Carol A. Sargent, Suzanne Moreland, Diane M. McMullen, Karnail S. Atwal and John R. McCullough and has published in prestigious journals such as Circulation, Circulation Research and Journal of Medicinal Chemistry.

In The Last Decade

Steven Dzwonczyk

36 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Steven Dzwonczyk 1.0k 603 580 454 343 36 1.7k
Nicholas J. Lodge 932 0.9× 395 0.7× 526 0.9× 1.0k 2.2× 339 1.0× 72 2.3k
Brijeshkumar S. Patel 986 1.0× 425 0.7× 565 1.0× 479 1.1× 121 0.4× 24 2.0k
A Manning 993 1.0× 341 0.6× 1.1k 1.8× 624 1.4× 124 0.4× 62 2.2k
D HEARSE 1.4k 1.3× 622 1.0× 1.0k 1.7× 545 1.2× 48 0.1× 51 2.2k
J. M Downey 1.7k 1.7× 927 1.5× 634 1.1× 553 1.2× 43 0.1× 31 2.4k
B R Lucchesi 957 0.9× 349 0.6× 808 1.4× 547 1.2× 31 0.1× 34 2.3k
Yu-Ting Xuan 1.3k 1.2× 518 0.9× 429 0.7× 613 1.4× 33 0.1× 24 2.2k
Michael E. Perlman 428 0.4× 208 0.3× 313 0.5× 722 1.6× 162 0.5× 32 1.7k
Pamela B. Garlick 698 0.7× 257 0.4× 617 1.1× 628 1.4× 63 0.2× 47 2.2k
Sonia Genade 713 0.7× 383 0.6× 409 0.7× 409 0.9× 26 0.1× 45 1.3k

Countries citing papers authored by Steven Dzwonczyk

Since Specialization
Citations

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

Fields of papers citing papers by Steven Dzwonczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Dzwonczyk

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