J Daut
Impact in
-
- Cardiac electrophysiology and arrhythmias
- Developmental Neuroscience top 5%
- Anesthesia and Neurotoxicity Research
Papers in
-
- Cardiac electrophysiology and arrhythmias 15
- Cardiomyopathy and Myosin Studies 4
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- Neuroscience and Neuropharmacology Research 5
- Neuroscience and Neural Engineering 4
- Co-authors
- Gerhard MehrkeIra S. CohenDenis NobleG. ElzingaNicolas von BeckerathUlrich PohlMarylou ZuzarteC. Putzke
- Journals
- The Journal of Physiology (13 papers)Cardiovascular Research (5 papers)Journal of Molecular and Cellular Cardiology (4 papers)Pflügers Archiv - European Journal of Physiology (1 paper)Cytogenetic and Genome Research (1 paper)
- Partner nations
- GermanySlovakiaUnited States
In The Last Decade
J Daut
25 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 95
- Cardiology and Cardiovascular Medicine 584
- Developmental Neuroscience 83
- Cellular and Molecular Neuroscience 354
- Pathology and Forensic Medicine 299
- Molecular Biology 700
Countries citing papers authored by J Daut
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 29 | |
| 2 | 2005 | 180 | |
| 3 | 2005 | 126 | |
| 4 | 2000 | 11 | |
| 5 | 1998 | 27 | |
| 6 | 1997 | 1 | |
| 7 | 1996 | 50 | |
| 8 | 1994 | 9 | |
| 9 | 1994 | 26 | |
| 10 | 1994 | 36 | |
| 11 | 1994 | 71 | |
| 12 | 1991 | 88 | |
| 13 | 1991 | 72 | |
| 14 | 1990 | 68 | |
| 15 | 1989 | 44 | |
| 16 | 1988 | 37 | |
| 17 | 1988 | 58 | |
| 18 | 1983 | 25 | |
| 19 | 1982 | 29 | |
| 20 | 1982 | 18 |
About J Daut
J Daut is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Electrochemistry, Pathology and Forensic Medicine and Developmental Neuroscience, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (15 papers), Ion channel regulation and function (11 papers), Neuroscience and Neuropharmacology Research (5 papers), Cardiac Ischemia and Reperfusion (5 papers), Cardiomyopathy and Myosin Studies (4 papers), Neuroscience and Neural Engineering (4 papers), Nitric Oxide and Endothelin Effects (3 papers) and thermodynamics and calorimetric analyses (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (584 citations), Developmental Neuroscience (83 citations), Cellular and Molecular Neuroscience (354 citations), Pathology and Forensic Medicine (299 citations) and Molecular Biology (700 citations). J Daut has collaborated with scholars based in Germany, Slovakia and United States. Frequent co-authors include Gerhard Mehrke, Ira S. Cohen, Denis Noble, G. Elzinga, Nicolas von Beckerath, Ulrich Pohl, Marylou Zuzarte, C. Putzke, G Isenberg and Regina Preisig‐Müller. Their work appears in journals such as The Journal of Physiology, Cardiovascular Research, Journal of Molecular and Cellular Cardiology, Pflügers Archiv - European Journal of Physiology and Cytogenetic and Genome Research.
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.