Christian Werner
- Aging top 1%
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- Heart Failure Treatment and Management 8
- Cardiovascular Function and Risk Factors 6
- Blood Pressure and Hypertension Studies 6
- Cardiac pacing and defibrillation studies 5
- Physiology top 5%
- Adipose Tissue and Metabolism 6
- Telomeres, Telomerase, and Senescence 6
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- Lipoproteins and Cardiovascular Health 7
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- Angiogenesis and VEGF in Cancer 5
Christian Werner
71 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 126
- Aging 225
- Cardiology and Cardiovascular Medicine 677
- Physiology 689
- Critical Care and Intensive Care Medicine 84
- Anesthesiology and Pain Medicine 86
Countries citing papers authored by Christian Werner
This map shows the geographic impact of Christian Werner'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 Christian Werner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Werner more than expected).
Fields of papers citing papers by Christian Werner
This network shows the impact of papers produced by Christian Werner. 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 Christian Werner. The network helps show where Christian Werner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christian Werner, 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 | 2024 | 0 | |
| 2 | 2022 | 13 | |
| 3 | 2021 | 23 | |
| 4 | 2020 | 13 | |
| 5 | 2019 | 9 | |
| 6 | 2018 | 47 | |
| 7 | 2017 | 67 | |
| 8 | 2015 | 17 | |
| 9 | 2015 | 13 | |
| 10 | 2014 | 11 | |
| 11 | Abstract 18220: High-intensity Interval Training Reduces P53 Expression and Increases Telomerase Activity in Circulating Mononuclear Cells of Untrained Subjects | 2012 | 4 |
| 12 | Abstract 16261: PPAR-Gamma Agonist-Induced Telomerase Activation in Endothelial Cells and Endothelial Progenitor Cells is Mediated by the Survival Kinase Akt | 2011 | 1 |
| 13 | 2010 | 25 | |
| 14 | 2010 | 30 | |
| 15 | 2008 | 193 | |
| 16 | 2007 | 56 | |
| 17 | 2006 | 3 | |
| 18 | 2001 | 131 | |
| 19 | 1997 | 51 | |
| 20 | 1997 | 21 |
About Christian Werner
Christian Werner is a scholar working on Cardiology and Cardiovascular Medicine, Critical Care and Intensive Care Medicine and Aging, having authored 74 papers that have together received 2.5k indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (8 papers), Lipoproteins and Cardiovascular Health (7 papers), Adipose Tissue and Metabolism (6 papers), Cardiovascular Function and Risk Factors (6 papers), Blood Pressure and Hypertension Studies (6 papers), Telomeres, Telomerase, and Senescence (6 papers), Cardiac pacing and defibrillation studies (5 papers) and Angiogenesis and VEGF in Cancer (5 papers). The work is most often cited by research in Aging (225 citations), Cardiology and Cardiovascular Medicine (677 citations) and Physiology (689 citations). Christian Werner has collaborated with scholars based in Germany, Switzerland and Spain. Frequent co-authors include Michael Böhm, Ulrich Laufs, Christoph Gensch, Janine Pöss, Judith Haendeler, Tim Meyer, Thomas Widmann, Jochen Schulte am Esch, Christel H. Kamani and Michael M. Hoffmann. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.
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.