J Daut

1.4k citations
26 papers · 1.2k · h-index 19

Impact in

Papers in

J Daut

25 papers receiving 1.1k citations

Peers

J Daut
Comparison fields: 5 of 95
  • Cardiology and Cardiovascular Medicine 550
  • Cellular and Molecular Neuroscience 343
  • Pathology and Forensic Medicine 286
  • Developmental Neuroscience 64
  • Molecular Biology 674
Replace Reg Chapman with:
Reg Chapman United Kingdom
M. C. Capogrossi United States
N. Sperelakis United States
Sabine Huke United States
Paul Vigne France
Elena Makhina United States
M Horácková Canada
Peter Karczewski Germany
Kim W. Chan United States
Anthony Collins United States
J Daut relative to Reg Chapman United Kingdom Reg Chapman's profile →
Citations per field
00.5×7.8×
Reg Chapman · 1×
Citations per year

Countries citing papers authored by J Daut

Since Specialization
Citations

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

Fields of papers citing papers by J Daut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside J Daut, 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 J Daut Line = papers co-authored together J Daut links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005181
2 2005129
3 197690
4 199188
5 199173
6 199471
7 199068
8 198858
9 197656
10 199650
11 198944
12 198837
13 199436
14 200729
15 198229
16 199827
17 199426
18 198325
19 198218
20 200011

About J Daut

J Daut is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine and Physiology, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (13 papers), Ion channel regulation and function (10 papers), Neuroscience and Neural Engineering (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Cardiomyopathy and Myosin Studies (4 papers), Cardiac Ischemia and Reperfusion (4 papers), Nitric Oxide and Endothelin Effects (3 papers) and Cardiovascular Effects of Exercise (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (550 citations), Cellular and Molecular Neuroscience (343 citations), Pathology and Forensic Medicine (286 citations), Developmental Neuroscience (64 citations) and Molecular Biology (674 citations). J Daut has collaborated with scholars based in Germany, United States and Russia. Frequent co-authors include Gerhard Mehrke, Denis Noble, Ira S. Cohen, G. Elzinga, Nicolas von Beckerath, Ulrich Pohl, Marylou Zuzarte, G Isenberg, Regina Preisig‐Müller and C. Putzke. Their work appears in journals such as The Journal of Physiology, Cardiovascular Research, Journal of Molecular and Cellular Cardiology, Cytogenetic and Genome Research and Pflügers Archiv - European Journal of Physiology.

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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