Nataliya Dybkova
- Cardiology and Cardiovascular Medicine top 1%
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Pathology and Forensic Medicine
- Physiology
- Co-authors
- Lars S. MaierGerd HasenfußStefan WagnerDonald M. BersJoan Heller BrownSamuel SossallaLarissa FabritzStefan Neef
- Topics
- Cardiac electrophysiology and arrhythmias (24 papers)Ion channel regulation and function (21 papers)Cardiomyopathy and Myosin Studies (6 papers)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Nataliya Dybkova
27 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 81
- Cardiology and Cardiovascular Medicine 1.3k
- Molecular Biology 1.2k
- Cellular and Molecular Neuroscience 299
- Pathology and Forensic Medicine 110
- Physiology 85
Countries citing papers authored by Nataliya Dybkova
This map shows the geographic impact of Nataliya Dybkova'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 Nataliya Dybkova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nataliya Dybkova more than expected).
Fields of papers citing papers by Nataliya Dybkova
This network shows the impact of papers produced by Nataliya Dybkova. 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 Nataliya Dybkova. The network helps show where Nataliya Dybkova may publish in the future.
Co-authorship network of co-authors of Nataliya Dybkova
This figure shows the co-authorship network connecting the top 25 collaborators of Nataliya Dybkova. A scholar is included among the top collaborators of Nataliya Dybkova 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 Nataliya Dybkova. Nataliya Dybkova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 19 | |
| 4 | 8 | |
| 5 | 16 | |
| 6 | 25 | |
| 7 | 27 | |
| 8 | 28 | |
| 9 | 4 | |
| 10 | 57 | |
| 11 | 42 | |
| 12 | 46 | |
| 13 | 28 | |
| 14 | 69 | |
| 15 | 166 | |
| 16 | 12 | |
| 17 | 400 | |
| 18 | 10 | |
| 19 | 144 | |
| 20 | 25 |
About Nataliya Dybkova
Nataliya Dybkova is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience, having authored 27 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (24 papers), Ion channel regulation and function (21 papers) and Cardiomyopathy and Myosin Studies (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.3k citations), Molecular Biology (1.2k citations) and Cellular and Molecular Neuroscience (299 citations). Nataliya Dybkova has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Lars S. Maier, Gerd Hasenfuß, Stefan Wagner, Donald M. Bers, Joan Heller Brown, Samuel Sossalla, Larissa Fabritz, Stefan Neef, Paulus Kirchhof and Sebastian K.G. Maier. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.
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.