Steven Dzwonczyk

36 papers receiving 1.7k citations

Peers

Steven Dzwonczyk
Comparison fields: 5 of 80
  • Developmental Neuroscience 309
  • Emergency Medicine 604
  • Pathology and Forensic Medicine 1.0k
  • Cardiology and Cardiovascular Medicine 580
  • Organic Chemistry 343
Replace Paul G. Sleph with:
Paul G. Sleph United States
Charles S. Parham United States
A Ziegelhöffer Slovakia
Carol A. Sargent United States
Αναστασία Ζώγα Greece
Jeannine Moore United States
S. Jolly United States
Diane E. Normandin United States
Karen P. Burton United States
Mark J. Kohr United States
Steven Dzwonczyk relative to Paul G. Sleph United States Paul G. Sleph's profile →
Citations per field
00.5×1.5×
Paul G. Sleph · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Steven Dzwonczyk, 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 Steven Dzwonczyk Line = papers co-authored together Steven Dzwonczyk links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995237
2 1992206
3 1993125
4 1991122
5 1990106
6 199376
7 199175
8 199075
9 199760
10 199659
11 199055
12 199153
13 199352
14 199541
15 199541
16 199040
17 199134
18 199532
19 199527
20 199324

About Steven Dzwonczyk

Steven Dzwonczyk is a scholar working on Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine, Molecular Biology, Emergency Medicine and Developmental Neuroscience, having authored 36 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (27 papers), Cardiac electrophysiology and arrhythmias (15 papers), Ion channel regulation and function (8 papers), Cardiac Arrest and Resuscitation (8 papers), Anesthesia and Neurotoxicity Research (6 papers), Fuel Cells and Related Materials (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Analytical Methods in Pharmaceuticals (2 papers). The work is most often cited by research in Developmental Neuroscience (309 citations), Emergency Medicine (604 citations), Pathology and Forensic Medicine (1.0k citations), Cardiology and Cardiovascular Medicine (580 citations) and Organic Chemistry (343 citations). Steven Dzwonczyk has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Paul G. Sleph, G. J. Grover, Gary J. Grover, Charles S. Parham, Diane E. Normandin, Carol A. Sargent, Diane M. McMullen, Suzanne Moreland, Karnail S. Atwal and John R. McCullough. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Journal of Cardiovascular Pharmacology, Journal of Medicinal Chemistry, European Journal of Pharmacology and Pharmacology.

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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