Ulrich Laufs
- Surgery top 0.05%
- Cardiology and Cardiovascular Medicine top 0.1%
- Molecular Biology top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.2%
- Physiology top 0.5%
- Co-authors
- James K. LiaoMichael BöhmMatthias EndresGeorg NickenigJorge PlutzkySven WaßmannNikos WernerAdam Oesterle
- Topics
- Lipoproteins and Cardiovascular Health (162 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (48 papers)Cardiovascular Function and Risk Factors (38 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Ulrich Laufs
473 papers receiving 27.6k citations
Hit Papers
Peers
Comparison fields: 5 of 185
- Surgery 10.6k
- Cardiology and Cardiovascular Medicine 9.6k
- Molecular Biology 7.3k
- Endocrinology, Diabetes and Metabolism 3.7k
- Physiology 3.6k
Countries citing papers authored by Ulrich Laufs
This map shows the geographic impact of Ulrich Laufs'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 Ulrich Laufs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulrich Laufs more than expected).
Fields of papers citing papers by Ulrich Laufs
This network shows the impact of papers produced by Ulrich Laufs. 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 Ulrich Laufs. The network helps show where Ulrich Laufs may publish in the future.
Co-authorship network of co-authors of Ulrich Laufs
This figure shows the co-authorship network connecting the top 25 collaborators of Ulrich Laufs. A scholar is included among the top collaborators of Ulrich Laufs 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 Ulrich Laufs. Ulrich Laufs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 17 | |
| 11 | 9 | |
| 12 | 2 | |
| 13 | 41 | |
| 14 | 17 | |
| 15 | 20 | |
| 16 | 27 | |
| 17 | 16 | |
| 18 | 3 | |
| 19 | Abstract 18220: High-intensity Interval Training Reduces P53 Expression and Increases Telomerase Activity in Circulating Mononuclear Cells of Untrained Subjects | 4 |
| 20 | 234 |
About Ulrich Laufs
Ulrich Laufs is a scholar working on Family Practice, Cardiology and Cardiovascular Medicine and Surgery, having authored 507 papers that have together received 28.3k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (162 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (48 papers) and Cardiovascular Function and Risk Factors (38 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (9.6k citations), Surgery (10.6k citations) and Endocrinology, Diabetes and Metabolism (3.7k citations). Ulrich Laufs has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include James K. Liao, Michael Böhm, Matthias Endres, Georg Nickenig, Jorge Plutzky, Sven Waßmann, Nikos Werner, Adam Oesterle, Florian Custodis and Karen Gertz. Their work appears in journals such as Proceedings of the National Academy of Sciences, JAMA and Journal of Biological Chemistry.
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.