E.C.M. de Wit
Impact in
- Surgery top 10%
- Cholesterol and Lipid Metabolism
- Lipoproteins and Cardiovascular Health
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
- Surgery 11
- Cholesterol and Lipid Metabolism 11
-
- Peroxisome Proliferator-Activated Receptors 3
- Co-authors
- P. Hans (11 shared papers)Louis M. Havekes (6 shared papers)Sabine M. Post (4 shared papers)Hans van der Boom (3 shared papers)Jaap Twisk (3 shared papers)Wim van Duyvenvoorde (4 shared papers)Dianne J. Delsing (2 shared papers)Arnoud van der Laarse (1 shared paper)
- Journals
- Biochemical Journal (4 papers)Arteriosclerosis Thrombosis and Vascular Biology (2 papers)Biochemical Pharmacology (2 papers)Journal of Cardiovascular Pharmacology (1 paper)Diabetologia (1 paper)
- Partner nations
- Netherlands
In The Last Decade
E.C.M. de Wit
14 papers receiving 489 citations
Peers
Comparison fields: 5 of 56
- Surgery 364
- Endocrinology, Diabetes and Metabolism 124
- Cancer Research 100
- Biochemistry 40
- Oncology 104
Countries citing papers authored by E.C.M. de Wit
This map shows the geographic impact of E.C.M. de Wit'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 E.C.M. de Wit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E.C.M. de Wit more than expected).
Fields of papers citing papers by E.C.M. de Wit
This network shows the impact of papers produced by E.C.M. de Wit. 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 E.C.M. de Wit. The network helps show where E.C.M. de Wit may publish in the future.
Co-authors
The 25 scholars most cited alongside E.C.M. de Wit, 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 | 1987 | 107 | |
| 2 | 2001 | 106 | |
| 3 | 1999 | 61 | |
| 4 | 1997 | 55 | |
| 5 | 1986 | 52 | |
| 6 | 1995 | 47 | |
| 7 | 2001 | 43 | |
| 8 | 2004 | 17 | |
| 9 | 1994 | 7 | |
| 10 | 1999 | 5 | |
| 11 | 2000 | 5 | |
| 12 | 1999 | 5 | |
| 13 | 1999 | 3 | |
| 14 | 2002 | 1 |
About E.C.M. de Wit
E.C.M. de Wit is a scholar working on Surgery, Molecular Biology, Oncology, Cancer Research and Endocrinology, Diabetes and Metabolism, having authored 14 papers that have together received 514 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (11 papers), Cancer, Lipids, and Metabolism (5 papers), Drug Transport and Resistance Mechanisms (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Atherosclerosis and Cardiovascular Diseases (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Surgery (364 citations), Endocrinology, Diabetes and Metabolism (124 citations), Cancer Research (100 citations), Biochemistry (40 citations) and Oncology (104 citations). E.C.M. de Wit has collaborated with scholars based in Netherlands. Frequent co-authors include P. Hans, Louis M. Havekes, Sabine M. Post, Hans van der Boom, Jaap Twisk, Wim van Duyvenvoorde, Dianne J. Delsing, Arnoud van der Laarse, J. Wouter Jukema and Erik H. Offerman. Their work appears in journals such as Biochemical Journal, Arteriosclerosis Thrombosis and Vascular Biology, Biochemical Pharmacology, Journal of Cardiovascular Pharmacology and Diabetologia.
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.