Michael Giewat

1.3k total citations
8 papers, 1.0k citations indexed

About

Michael Giewat is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Epidemiology. According to data from OpenAlex, Michael Giewat has authored 8 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 6 papers in Molecular Biology and 2 papers in Epidemiology. Recurrent topics in Michael Giewat's work include Cardiomyopathy and Myosin Studies (8 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Congenital heart defects research (2 papers). Michael Giewat is often cited by papers focused on Cardiomyopathy and Myosin Studies (8 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Congenital heart defects research (2 papers). Michael Giewat collaborates with scholars based in United States. Michael Giewat's co-authors include Christine E. Seidman, Jonathan G. Seidman, Christopher Semsarian, Bradley K. McConnell, Dimitrios Georgakopoulos, David A. Kass, Steven Reiken, Diane Fatkin, Ulrike Mende and Joachim P. Schmitt and has published in prestigious journals such as Journal of Clinical Investigation, Nature Medicine and Circulation Research.

In The Last Decade

Michael Giewat

8 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Michael Giewat United States	8	939	542	123	39	27	8	1.0k
Lien Lam Australia	13	554 0.6×	287 0.5×	112 0.9×	28 0.7×	22 0.8×	19	646
Snježana Miočiċ United States	9	611 0.7×	526 1.0×	48 0.4×	39 1.0×	12 0.4×	10	907
Faris Albayya United States	15	635 0.7×	466 0.9×	19 0.2×	20 0.5×	7 0.3×	25	801
Victoria A. Parsons United States	6	225 0.2×	299 0.6×	26 0.2×	59 1.5×	42 1.6×	9	470
Christopher R. Bartley United States	6	294 0.3×	243 0.4×	23 0.2×	63 1.6×	8 0.3×	6	441
Colleen Satorius United States	5	240 0.3×	232 0.4×	19 0.2×	32 0.8×	96 3.6×	6	468
Peter Yiqing Li Singapore	4	191 0.2×	264 0.5×	25 0.2×	50 1.3×	18 0.7×	5	410
Shigeru Hohda Japan	5	356 0.4×	325 0.6×	30 0.2×	53 1.4×	52 1.9×	5	560
Mahmud Uzzaman United States	11	194 0.2×	258 0.5×	25 0.2×	13 0.3×	18 0.7×	13	393
Pierre Coutu United States	13	640 0.7×	431 0.8×	9 0.1×	19 0.5×	19 0.7×	15	782

Countries citing papers authored by Michael Giewat

Since Specialization

Citations

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

Fields of papers citing papers by Michael Giewat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Giewat

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Giewat. A scholar is included among the top collaborators of Michael Giewat 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 Giewat. Michael Giewat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Semsarian, Christopher, Imran Ahmad, Michael Giewat, et al.. (2002). The L-type calcium channel inhibitor diltiazem prevents cardiomyopathy in a mouse model. Journal of Clinical Investigation. 109(8). 1013–1020. 208 indexed citations

2.

Semsarian, Christopher, Imran Ahmad, Michael Giewat, et al.. (2002). The L-type calcium channel inhibitor diltiazem prevents cardiomyopathy in a mouse model. Journal of Clinical Investigation. 109(8). 1013–1020. 184 indexed citations

3.

Semsarian, Christopher, Imran Ahmad, Michael Giewat, et al.. (2002). The L-type calcium channel inhibitor diltiazem prevents cardiomyopathy in a mouse model. Journal of Clinical Investigation. 109(8). 1013–1020. 8 indexed citations

4.

Semsarian, Christopher, Mick Healey, Diane Fatkin, et al.. (2001). A Polymorphic Modifier Gene Alters the Hypertrophic Response in a Murine Model of Familial Hypertrophic Cardiomyopathy. Journal of Molecular and Cellular Cardiology. 33(11). 2055–2060. 51 indexed citations

5.

McConnell, Bradley K., Diane Fatkin, Christopher Semsarian, et al.. (2001). Comparison of Two Murine Models of Familial Hypertrophic Cardiomyopathy. Circulation Research. 88(4). 383–389. 90 indexed citations

6.

Fatkin, Diane, Bradley K. McConnell, James O. Mudd, et al.. (2000). An abnormal Ca2+ response in mutant sarcomere protein–mediated familial hypertrophic cardiomyopathy. Journal of Clinical Investigation. 106(11). 1351–1359. 182 indexed citations

7.

Hayes, Enda, et al.. (2000). Single-Molecule Mechanics of R403Q Cardiac Myosin Isolated From the Mouse Model of Familial Hypertrophic Cardiomyopathy. Circulation Research. 86(7). 737–744. 181 indexed citations

8.

Georgakopoulos, Dimitrios, et al.. (1999). The pathogenesis of familial hypertrophic cardiomyopathy: Early and evolving effects from an α-cardiac myosin heavy chain missense mutation. Nature Medicine. 5(3). 327–330. 112 indexed citations

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.

Explore authors with similar magnitude of impact