L.M. Scheek
Impact in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
Papers in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 11
- Surgery 9
- Cholesterol and Lipid Metabolism 7
- Lipoproteins and Cardiovascular Health 3
- Co-authors
- Arie van Tol (20 shared papers)Teus van Gent (13 shared papers)Rini de Crom (7 shared papers)Rien van Haperen (6 shared papers)Pieter H.E. Groot (3 shared papers)Hans Jansen (3 shared papers)Inge M. Lankhuizen (3 shared papers)Mira Katan (2 shared papers)
- Journals
- Journal of Lipid Research (4 papers)Biochemical Journal (3 papers)Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids (2 papers)Atherosclerosis (2 papers)Metabolism (1 paper)
- Partner nations
- NetherlandsFinlandJapan
In The Last Decade
L.M. Scheek
24 papers receiving 851 citations
Peers
Comparison fields: 5 of 70
- Endocrinology, Diabetes and Metabolism 356
- Biochemistry 97
- Clinical Biochemistry 85
- Biochemistry 55
- Surgery 269
Countries citing papers authored by L.M. Scheek
This map shows the geographic impact of L.M. Scheek'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 L.M. Scheek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L.M. Scheek more than expected).
Fields of papers citing papers by L.M. Scheek
This network shows the impact of papers produced by L.M. Scheek. 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 L.M. Scheek. The network helps show where L.M. Scheek may publish in the future.
Co-authors
The 25 scholars most cited alongside L.M. Scheek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 111 | |
| 2 | 2002 | 75 | |
| 3 | 1983 | 65 | |
| 4 | 2001 | 53 | |
| 5 | 1998 | 50 | |
| 6 | 2002 | 45 | |
| 7 | 2004 | 42 | |
| 8 | 2004 | 40 | |
| 9 | 2001 | 39 | |
| 10 | 2004 | 37 | |
| 11 | 2000 | 36 | |
| 12 | 1995 | 35 | |
| 13 | 1997 | 34 | |
| 14 | 2003 | 32 | |
| 15 | 1994 | 32 | |
| 16 | 1978 | 31 | |
| 17 | 2001 | 29 | |
| 18 | 1983 | 29 | |
| 19 | 1991 | 28 | |
| 20 | 2005 | 15 |
About L.M. Scheek
L.M. Scheek is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Biochemistry, Cancer Research and Molecular Biology, having authored 24 papers that have together received 891 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers), Cholesterol and Lipid Metabolism (7 papers), Cancer, Lipids, and Metabolism (6 papers), Lipid metabolism and biosynthesis (6 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Lipoproteins and Cardiovascular Health (3 papers), Alcohol Consumption and Health Effects (3 papers) and Lipid metabolism and disorders (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (356 citations), Biochemistry (97 citations), Clinical Biochemistry (85 citations), Biochemistry (55 citations) and Surgery (269 citations). L.M. Scheek has collaborated with scholars based in Netherlands, Finland and Japan. Frequent co-authors include Arie van Tol, Teus van Gent, Rini de Crom, Rien van Haperen, Pieter H.E. Groot, Hans Jansen, Inge M. Lankhuizen, Mira Katan, Pim Visser and Frank Grosveld. Their work appears in journals such as Journal of Lipid Research, Biochemical Journal, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids, Atherosclerosis and Metabolism.
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.