L.M. Scheek
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- Diabetes, Cardiovascular Risks, and Lipoproteins 12
- Biochemistry top 5%
- Lipid metabolism and biosynthesis 6
- Clinical Biochemistry top 5%
- Biochemistry top 10%
- Lipid metabolism and biosynthesis 6
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- Cancer, Lipids, and Metabolism 7
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- Cholesterol and Lipid Metabolism 9
- Lipoproteins and Cardiovascular Health 4
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- Peroxisome Proliferator-Activated Receptors 4
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- Lipid metabolism and disorders 3
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- Alcohol Consumption and Health Effects 3
- Co-authors
- Arie van TolTeus van GentRini de CromPieter H.E. GrootRien van HaperenHans JansenInge M. LankhuizenMira Katan
- Journals
- Journal of Lipid Research (4 papers)Biochemical Journal (3 papers)Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids (2 papers)
- Partner nations
- NetherlandsFinlandUnited Kingdom
In The Last Decade
L.M. Scheek
24 papers receiving 847 citations
Peers
Comparison fields: 5 of 73
- Endocrinology, Diabetes and Metabolism 429
- Biochemistry 131
- Clinical Biochemistry 96
- Biochemistry 68
- Cancer Research 129
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 9 | |
| 2 | 2005 | 15 | |
| 3 | 2005 | 10 | |
| 4 | 2004 | 42 | |
| 5 | 2004 | 40 | |
| 6 | 2004 | 35 | |
| 7 | 2003 | 32 | |
| 8 | 2002 | 74 | |
| 9 | 2002 | 111 | |
| 10 | 2002 | 45 | |
| 11 | 2001 | 39 | |
| 12 | 2001 | 53 | |
| 13 | 2000 | 36 | |
| 14 | 1998 | 13 | |
| 15 | 1998 | 50 | |
| 16 | 1997 | 34 | |
| 17 | 1995 | 35 | |
| 18 | 1994 | 31 | |
| 19 | 1991 | 28 | |
| 20 | 1983 | 29 |
About L.M. Scheek
L.M. Scheek is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism, Cancer Research, Clinical Biochemistry and Biochemistry, having authored 24 papers that have together received 887 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers), Cholesterol and Lipid Metabolism (9 papers), Cancer, Lipids, and Metabolism (7 papers), Lipid metabolism and biosynthesis (6 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Lipoproteins and Cardiovascular Health (4 papers), Lipid metabolism and disorders (3 papers) and Alcohol Consumption and Health Effects (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (429 citations), Biochemistry (131 citations), Clinical Biochemistry (96 citations), Biochemistry (68 citations) and Cancer Research (129 citations). L.M. Scheek has collaborated with scholars based in Netherlands, Finland and United Kingdom. Frequent co-authors include Arie van Tol, Teus van Gent, Rini de Crom, Pieter H.E. Groot, Rien van Haperen, 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 Annals of Nutrition 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.