Eva Rasenack

846 citations
8 papers · 632 indexed · h-index 5

Impact in

Papers in

Eva Rasenack

7 papers receiving 626 citations

Peers

Eva Rasenack
Comparison fields: 5 of 51
  • Cardiology and Cardiovascular Medicine 561
  • Cellular and Molecular Neuroscience 130
  • Electrochemistry 39
  • Molecular Biology 433
  • Pathology and Forensic Medicine 51
Replace Nidas A. Undrovinas with:
Nidas A. Undrovinas United States
Csaba Lengyel Hungary
Thomas Sowa Germany
Silvia Suffredini Italy
Sophie Schobesberger United Kingdom
Zhong Jian United States
Katharina Ort Germany
Klaus Schlotthauer United States
Robert J. Goodrow United States
Jonas Herting Germany
Eva Rasenack relative to Nidas A. Undrovinas United States Nidas A. Undrovinas's profile →
Citations per field
00.5×6.7×
Nidas A. Undrovinas · 1×
Citations per year

Countries citing papers authored by Eva Rasenack

Since Specialization
Citations

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

Fields of papers citing papers by Eva Rasenack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2006400
2 2008207
3 20219
4 20247
5 20125
6 20223
7 20241
8 20250

About Eva Rasenack

Eva Rasenack is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Infectious Diseases, having authored 8 papers that have together received 632 indexed citations. Recurring topics across this work include Cardiac Arrhythmias and Treatments (5 papers), Atrial Fibrillation Management and Outcomes (5 papers), Cardiac electrophysiology and arrhythmias (4 papers), Cardiac pacing and defibrillation studies (4 papers), Ion channel regulation and function (2 papers), Cardiac Imaging and Diagnostics (1 paper), Neuroscience and Neural Engineering (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (561 citations), Cellular and Molecular Neuroscience (130 citations), Electrochemistry (39 citations), Molecular Biology (433 citations) and Pathology and Forensic Medicine (51 citations). Eva Rasenack has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Gerd Hasenfuß, Lars S. Maier, Stefan Wagner, Claudius Jacobshagen, Larissa Fabritz, Nataliya Dybkova, Sebastian K.G. Maier, Tong Zhang, Donald M. Bers and Joan Heller Brown. Their work appears in journals such as Journal of Interventional Cardiac Electrophysiology, Heart and Vessels, Journal of Clinical Investigation, Journal of Molecular and Cellular Cardiology and Clinical Research in Cardiology.

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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