Sven Waßmann
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- Renin-Angiotensin System Studies 14
- Blood Pressure and Hypertension Studies 11
- Antiplatelet Therapy and Cardiovascular Diseases 11
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- Hormonal Regulation and Hypertension 11
- Biochemistry top 1%
- Physiology top 2%
- Immunology top 5%
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- Lipoproteins and Cardiovascular Health 20
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- Receptor Mechanisms and Signaling 12
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- Health Systems, Economic Evaluations, Quality of Life 10
- Pharmaceutical Economics and Policy 10
Sven Waßmann
93 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Cardiology and Cardiovascular Medicine 2.5k
- Endocrinology, Diabetes and Metabolism 1.3k
- Biochemistry 338
- Physiology 1.1k
- Immunology 890
Countries citing papers authored by Sven Waßmann
This map shows the geographic impact of Sven Waßmann'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 Sven Waßmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sven Waßmann more than expected).
Fields of papers citing papers by Sven Waßmann
This network shows the impact of papers produced by Sven Waßmann. 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 Sven Waßmann. The network helps show where Sven Waßmann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sven Waßmann, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 0 | |
| 6 | Effects of Single Pill Combinations Compared to Identical Multi Pill Therapy on Outcomes in Hypertension, Dyslipidemia and Secondary Cardiovascular Prevention: The START-Study | 2022 | 12 |
| 7 | 2018 | 123 | |
| 8 | 2010 | 12 | |
| 9 | 2008 | 16 | |
| 10 | 2007 | 56 | |
| 11 | 2007 | 143 | |
| 12 | 2006 | 164 | |
| 13 | 2006 | 22 | |
| 14 | 2006 | 33 | |
| 15 | 2005 | 234 | |
| 16 | 2005 | 31 | |
| 17 | 2003 | 51 | |
| 18 | 2001 | 285 | |
| 19 | 2001 | 17 | |
| 20 | 2000 | 42 |
About Sven Waßmann
Sven Waßmann is a scholar working on Family Practice, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 101 papers that have together received 7.0k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (20 papers), Renin-Angiotensin System Studies (14 papers), Receptor Mechanisms and Signaling (12 papers), Blood Pressure and Hypertension Studies (11 papers), Hormonal Regulation and Hypertension (11 papers), Antiplatelet Therapy and Cardiovascular Diseases (11 papers), Health Systems, Economic Evaluations, Quality of Life (10 papers) and Pharmaceutical Economics and Policy (10 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.5k citations), Endocrinology, Diabetes and Metabolism (1.3k citations) and Biochemistry (338 citations). Sven Waßmann has collaborated with scholars based in Germany, Austria and Norway. Frequent co-authors include Georg Nickenig, Michael Böhm, Ulrich Laufs, Nikos Werner, Kerstin Strehlow, Kerstin Wassmann, Anselm T. Bäumer, Kirsten Müller, Thomas Czech and Wolfgang Linz. Their work appears in journals such as European Heart Journal - Cardiovascular Pharmacotherapy, European Heart Journal, Circulation Research, Circulation and Hypertension.
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.