R. Clasen
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Physiology top 10%
- Epidemiology
- Co-authors
- Thomas UngerMichael SchuppUlrich KintscherJürgen JankeC SprangMarkus ClemenzMaxim KrikovAnna Foryst‐Ludwig
- Topics
- Peroxisome Proliferator-Activated Receptors (3 papers)Receptor Mechanisms and Signaling (2 papers)Adipose Tissue and Metabolism (2 papers)
- Journals
- CirculationPainHypertension
- Partner nations
- Germany
In The Last Decade
R. Clasen
8 papers receiving 882 citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Cardiology and Cardiovascular Medicine 390
- Molecular Biology 307
- Endocrinology, Diabetes and Metabolism 299
- Physiology 258
- Epidemiology 222
Countries citing papers authored by R. Clasen
This map shows the geographic impact of R. Clasen'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 R. Clasen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Clasen more than expected).
Fields of papers citing papers by R. Clasen
This network shows the impact of papers produced by R. Clasen. 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 R. Clasen. The network helps show where R. Clasen may publish in the future.
Co-authorship network of co-authors of R. Clasen
This figure shows the co-authorship network connecting the top 25 collaborators of R. Clasen. A scholar is included among the top collaborators of R. Clasen 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 R. Clasen. R. Clasen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 230 | |
| 2 | Angiotensin Type 1 Receptor Blockers Induce Peroxisome Proliferator–Activated Receptor-γ Activitybreakdown → | 592 |
| 3 | 44 | |
| 4 | [The effects of 500 ml 10% hydroxyethyl starch 200/0.5 and 10% dextran 40 on blood volume, colloid osmotic pressure and renal function in human volunteers (author's transl)]. | 33 |
| 5 | 4 | |
| 6 | [Changes of carbohydrate and fat metabolism under spinal anaesthesia or neuroleptanaesthesia and operation (author's transl)]. | 4 |
| 7 | 2 | |
| 8 | 4 |
About R. Clasen
R. Clasen is a scholar working on Physiology, Clinical Biochemistry and Management of Technology and Innovation, having authored 8 papers that have together received 913 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (3 papers), Receptor Mechanisms and Signaling (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (299 citations), Cardiology and Cardiovascular Medicine (390 citations) and Biochemistry (86 citations). R. Clasen has collaborated with scholars based in Germany. Frequent co-authors include Thomas Unger, Michael Schupp, Ulrich Kintscher, Jürgen Janke, C Sprang, Markus Clemenz, Maxim Krikov, Anna Foryst‐Ludwig, Christa Thöne‐Reineke and Hans Köhler. Their work appears in journals such as Circulation, Pain 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.