Eva Graf
Impact in
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- Cardiac electrophysiology and arrhythmias
- Atrial Fibrillation Management and Outcomes
- Cardiac Arrhythmias and Treatments
- Genetics top 10%
- Mesenchymal stem cell research
Papers in
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- Ion channel regulation and function 6
- Pluripotent Stem Cells Research 2
- Sphingolipid Metabolism and Signaling 2
- Ion Transport and Channel Regulation 1
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- Cardiac electrophysiology and arrhythmias 5
- Co-authors
- Ursula Ravens (14 shared papers)Erich Wettwer (4 shared papers)Torsten Christ (4 shared papers)Dobromir Dobrev (4 shared papers)Ihor Zahanich (5 shared papers)Herbert M. Himmel (4 shared papers)Sabine Boxberger (4 shared papers)Jürgen F. Heubach (5 shared papers)
- Journals
- Circulation (2 papers)The Journal of Physiology (2 papers)Molecular Pharmacology (2 papers)Basic Research in Cardiology (1 paper)Cell Research (1 paper)
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
Eva Graf
14 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 75
- Cardiology and Cardiovascular Medicine 550
- Genetics 106
- Molecular Biology 606
- Cellular and Molecular Neuroscience 150
- Cell Biology 60
Countries citing papers authored by Eva Graf
This map shows the geographic impact of Eva Graf'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 Graf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Graf more than expected).
Fields of papers citing papers by Eva Graf
This network shows the impact of papers produced by Eva Graf. 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 Graf. The network helps show where Eva Graf may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Graf, 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 | 2001 | 253 | |
| 2 | 2004 | 227 | |
| 3 | 2003 | 173 | |
| 4 | 2005 | 93 | |
| 5 | 2000 | 75 | |
| 6 | 2006 | 66 | |
| 7 | 2005 | 48 | |
| 8 | 2003 | 39 | |
| 9 | 2009 | 29 | |
| 10 | 2001 | 21 | |
| 11 | 2005 | 21 | |
| 12 | 2001 | 20 | |
| 13 | 2006 | 13 | |
| 14 | 2002 | 5 | |
| 15 | 2000 | 0 |
About Eva Graf
Eva Graf is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Genetics and Pathology and Forensic Medicine, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ion channel regulation and function (6 papers), Cardiac electrophysiology and arrhythmias (5 papers), Neuroscience and Neural Engineering (3 papers), Pluripotent Stem Cells Research (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Sphingolipid Metabolism and Signaling (2 papers), Ion Transport and Channel Regulation (1 paper) and Estrogen and related hormone effects (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (550 citations), Genetics (106 citations), Molecular Biology (606 citations), Cellular and Molecular Neuroscience (150 citations) and Cell Biology (60 citations). Eva Graf has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Ursula Ravens, Erich Wettwer, Torsten Christ, Dobromir Dobrev, Ihor Zahanich, Herbert M. Himmel, Sabine Boxberger, Jürgen F. Heubach, S. Schüler and Ottó Hála. Their work appears in journals such as Circulation, The Journal of Physiology, Molecular Pharmacology, Basic Research in Cardiology and Cell 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.