Peter Karczewski

3.4k citations
61 papers · 2.8k · h-index 26

Impact in

Papers in

Peter Karczewski

61 papers receiving 2.8k citations

Peers

Peter Karczewski
Comparison fields: 5 of 92
  • Cardiology and Cardiovascular Medicine 1.8k
  • Molecular Biology 1.9k
  • Cellular and Molecular Neuroscience 348
  • Pathology and Forensic Medicine 174
  • Physiology 237
Replace Beata M. Wolska with:
Beata M. Wolska United States
Olha M. Koval United States
Yuejin Wu United States
Tomoe Y. Nakamura Japan
Anetta Wronska United States
Gopal J. Babu United States
Nicole Schmitt Denmark
Robert D. Harvey United States
Ilona Bódi United States
Hervé Le Marec France
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Citations per field
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Citations per year

Countries citing papers authored by Peter Karczewski

Since Specialization
Citations

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

Fields of papers citing papers by Peter Karczewski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995323
2 1999265
3 1999243
4 1999137
5 2001125
6 1999119
7 2003109
8 1999108
9 199393
10 199078
11 200873
12 199967
13 200265
14 199662
15 200061
16 200155
17 199653
18 199653
19 199552
20 200150

About Peter Karczewski

Peter Karczewski is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 61 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (25 papers), Ion channel regulation and function (20 papers), Cardiomyopathy and Myosin Studies (15 papers), Receptor Mechanisms and Signaling (13 papers), Cardiac Ischemia and Reperfusion (8 papers), Nitric Oxide and Endothelin Effects (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.8k citations), Molecular Biology (1.9k citations), Cellular and Molecular Neuroscience (348 citations), Pathology and Forensic Medicine (174 citations) and Physiology (237 citations). Peter Karczewski has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Ernst‐Georg Krause, Sabine Bartel, Robert H. G. Schwinger, Brigitte Hoch, Erland Erdmann, Hannelore Haase, Götz Münch, Roland Hetzer, Rudolf Meyer and Markus Flesch. Their work appears in journals such as Molecular and Cellular Biochemistry, Journal of Molecular and Cellular Cardiology, Journal of Cellular Biochemistry, Circulation and The FASEB Journal.

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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