R. Siekmeier
Impact in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Clinical Biochemistry top 5%
- Paraoxonase enzyme and polymorphisms
Papers in
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- Diabetes, Cardiovascular Risks, and Lipoproteins 13
- Co-authors
- Winfried MärzG. ScheuchWerner GroßTanja B. GrammerGross WlW JaroßHubert ScharnaglS. Bergmann
- Journals
- Advances in experimental medicine and biology (15 papers)Journal of Aerosol Science (12 papers)Clinical Chemistry and Laboratory Medicine (CCLM) (5 papers)Clinical Chemistry (5 papers)Journal of Cardiovascular Pharmacology and Therapeutics (3 papers)
- Partner nations
- GermanyAustriaSwitzerland
In The Last Decade
R. Siekmeier
81 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 116
- Endocrinology, Diabetes and Metabolism 231
- Clinical Biochemistry 76
- Biochemistry 65
- Medical Laboratory Technology 16
- Cardiology and Cardiovascular Medicine 186
Countries citing papers authored by R. Siekmeier
This map shows the geographic impact of R. Siekmeier'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. Siekmeier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Siekmeier more than expected).
Fields of papers citing papers by R. Siekmeier
This network shows the impact of papers produced by R. Siekmeier. 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. Siekmeier. The network helps show where R. Siekmeier may publish in the future.
Co-authorship network
The 25 scholars most cited alongside R. Siekmeier, 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 | 1 | |
| 2 | 2016 | 6 | |
| 3 | 2016 | 5 | |
| 4 | 2014 | 11 | |
| 5 | 2014 | 33 | |
| 6 | 2013 | 4 | |
| 7 | 2013 | 5 | |
| 8 | 2012 | 2 | |
| 9 | 2012 | 4 | |
| 10 | 2010 | 5 | |
| 11 | 2009 | 6 | |
| 12 | 2007 | 10 | |
| 13 | 2006 | 2 | |
| 14 | 2006 | 4 | |
| 15 | 2000 | 20 | |
| 16 | 1994 | 5 | |
| 17 | 1993 | 20 | |
| 18 | 1993 | 69 | |
| 19 | 1993 | 21 | |
| 20 | 1988 | 10 |
About R. Siekmeier
R. Siekmeier is a scholar working on Medical Laboratory Technology, Endocrinology, Diabetes and Metabolism, Cancer Research, Pulmonary and Respiratory Medicine and Physiology, having authored 87 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (19 papers), Inhalation and Respiratory Drug Delivery (17 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (11 papers), Adipokines, Inflammation, and Metabolic Diseases (10 papers), Cancer, Lipids, and Metabolism (8 papers), Asthma and respiratory diseases (7 papers) and Biosimilars and Bioanalytical Methods (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (231 citations), Clinical Biochemistry (76 citations), Biochemistry (65 citations), Medical Laboratory Technology (16 citations) and Cardiology and Cardiovascular Medicine (186 citations). R. Siekmeier has collaborated with scholars based in Germany, Austria and Switzerland. Frequent co-authors include Winfried März, G. Scheuch, Werner Groß, Tanja B. Grammer, Gross Wl, W Jaroß, Hubert Scharnagl, S. Bergmann, Heinrich Wieland and Marcus E. Kleber. Their work appears in journals such as Advances in experimental medicine and biology, Journal of Aerosol Science, Clinical Chemistry and Laboratory Medicine (CCLM), Clinical Chemistry and Journal of Cardiovascular Pharmacology and Therapeutics.
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.