Michael Gralinski

89 total papers · 893 total citations
32 papers, 709 citations indexed

About

Michael Gralinski is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Michael Gralinski has authored 32 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cardiology and Cardiovascular Medicine, 7 papers in Molecular Biology and 7 papers in Pathology and Forensic Medicine. Recurrent topics in Michael Gralinski's work include Cardiac electrophysiology and arrhythmias (13 papers), Cardiac Ischemia and Reperfusion (7 papers) and Ion channel regulation and function (5 papers). Michael Gralinski is often cited by papers focused on Cardiac electrophysiology and arrhythmias (13 papers), Cardiac Ischemia and Reperfusion (7 papers) and Ion channel regulation and function (5 papers). Michael Gralinski collaborates with scholars based in United States, Peru and Mexico. Michael Gralinski's co-authors include Benedict R. Lucchesi, Kenneth S. Kilgore, Gregory S. Friedrichs, Simon Black, Edward M. Driscoll, Franz J. Hock, Peter J. Manley, J G McCormack, Michael A. Breider and Raymond J. Lipicky and has published in prestigious journals such as Circulation, Circulation Research and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Michael Gralinski

32 papers receiving 686 citations

Author Peers

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

Author						Papers	Cites
Michael Gralinski	343	199	150	99	70	32	709
Stanley R. Jolly	349 1.0×	137 0.7×	191 1.3×	167 1.7×	91 1.3×	31	716
Elaine J. Tanhehco	431 1.3×	193 1.0×	126 0.8×	188 1.9×	102 1.5×	29	823
Xin Zhao	208 0.6×	274 1.4×	98 0.7×	109 1.1×	70 1.0×	23	803
Fawzi Babiker	369 1.1×	258 1.3×	192 1.3×	67 0.7×	33 0.5×	40	852
Delvin R. Knight	204 0.6×	290 1.5×	181 1.2×	171 1.7×	42 0.6×	23	810
Xiaoyong Tong	158 0.5×	311 1.6×	190 1.3×	71 0.7×	96 1.4×	41	734
Atsuo Yanagisawa	500 1.5×	158 0.8×	92 0.6×	130 1.3×	27 0.4×	49	850
Lefer Am	189 0.6×	158 0.8×	172 1.1×	140 1.4×	91 1.3×	49	813
Márta Sárközy	235 0.7×	257 1.3×	155 1.0×	102 1.0×	48 0.7×	37	792
Sandrine Pons	268 0.8×	333 1.7×	284 1.9×	101 1.0×	33 0.5×	39	897

Countries citing papers authored by Michael Gralinski

Since Specialization

Citations

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

Fields of papers citing papers by Michael Gralinski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Gralinski

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