Sabine Haßfeld
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Pulmonary and Respiratory Medicine
- Epidemiology
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Thomas ScheffoldBurkert PieskeCesare CuspidiMarijana TadićChristian GeierAndreas PerrotRainer DietzMaximilian Posch
- Topics
- Cardiovascular Function and Risk Factors (5 papers)Cardiomyopathy and Myosin Studies (4 papers)Chemotherapy-induced cardiotoxicity and mitigation (3 papers)
- Partner nations
- GermanyItalyUnited Kingdom
In The Last Decade
Sabine Haßfeld
11 papers receiving 326 citations
Peers
Comparison fields: 5 of 66
- Cardiology and Cardiovascular Medicine 238
- Molecular Biology 157
- Pulmonary and Respiratory Medicine 42
- Epidemiology 41
- Radiology, Nuclear Medicine and Imaging 28
Countries citing papers authored by Sabine Haßfeld
This map shows the geographic impact of Sabine Haßfeld'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 Sabine Haßfeld with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabine Haßfeld more than expected).
Fields of papers citing papers by Sabine Haßfeld
This network shows the impact of papers produced by Sabine Haßfeld. 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 Sabine Haßfeld. The network helps show where Sabine Haßfeld may publish in the future.
Co-authorship network of co-authors of Sabine Haßfeld
This figure shows the co-authorship network connecting the top 25 collaborators of Sabine Haßfeld. A scholar is included among the top collaborators of Sabine Haßfeld 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 Sabine Haßfeld. Sabine Haßfeld is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 16 | |
| 3 | 4 | |
| 4 | 18 | |
| 5 | 1 | |
| 6 | 41 | |
| 7 | 1 | |
| 8 | 118 | |
| 9 | 98 | |
| 10 | Recurrent in-stent restenosis is not associated with the angiotensin-converting enzyme D/I, angiotensinogen Thr174Met and Met235Thr, and the angiotensin-II receptor 1 A1166C polymorphism. | 7 |
| 11 | 15 | |
| 12 | 8 |
About Sabine Haßfeld
Sabine Haßfeld is a scholar working on Cardiology and Cardiovascular Medicine, Obstetrics and Gynecology and Pulmonary and Respiratory Medicine, having authored 12 papers that have together received 329 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (5 papers), Cardiomyopathy and Myosin Studies (4 papers) and Chemotherapy-induced cardiotoxicity and mitigation (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (238 citations), Molecular Biology (157 citations) and Developmental Neuroscience (9 citations). Sabine Haßfeld has collaborated with scholars based in Germany, Italy and United Kingdom. Frequent co-authors include Thomas Scheffold, Burkert Pieske, Cesare Cuspidi, Marijana Tadić, Christian Geier, Andreas Perrot, Rainer Dietz, Maximilian Posch, Daniel A. Morris and Elisabeth Ehler. Their work appears in journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Human Molecular Genetics.
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.