Jaap Twisk
Impact in
- Genetics top 2%
- Virus-based gene therapy research
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
- Co-authors
- Theo J.C. van BerkelMiranda Van EckP. HansDaniel GaudetDiane BrissonI. Sophie T. BosJulie MéthotJ. de Wal
- Journals
- Human Gene Therapy (8 papers)Biochemical Journal (4 papers)Arteriosclerosis Thrombosis and Vascular Biology (3 papers)Journal of Clinical Investigation (2 papers)Atherosclerosis Supplements (2 papers)
- Partner nations
- NetherlandsCanadaGermany
In The Last Decade
Jaap Twisk
49 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 99
- Genetics 884
- Endocrinology, Diabetes and Metabolism 522
- Oncology 754
- Surgery 1.2k
- Cardiology and Cardiovascular Medicine 543
Countries citing papers authored by Jaap Twisk
This map shows the geographic impact of Jaap Twisk'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 Jaap Twisk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaap Twisk more than expected).
Fields of papers citing papers by Jaap Twisk
This network shows the impact of papers produced by Jaap Twisk. 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 Jaap Twisk. The network helps show where Jaap Twisk may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jaap Twisk, 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 | 2013 | 107 | |
| 2 | 2012 | 122 | |
| 3 | Abstract 16900: Gene Therapy With Alipogene Tiparvovec Results in Enhanced Post-Prandial Clearance of Low Density Chylomicrons in LPLD Patients | 2010 | 2 |
| 4 | 2010 | 50 | |
| 5 | 2009 | 14 | |
| 6 | 2009 | 52 | |
| 7 | 2008 | 145 | |
| 8 | 2007 | 10 | |
| 9 | 2006 | 11 | |
| 10 | 2006 | 68 | |
| 11 | 2006 | 5 | |
| 12 | 2004 | 110 | |
| 13 | 2004 | 63 | |
| 14 | 2003 | 8 | |
| 15 | 2003 | 198 | |
| 16 | 2000 | 199 | |
| 17 | 1995 | 63 | |
| 18 | 1995 | 18 | |
| 19 | 1994 | 3 | |
| 20 | 1993 | 36 |
About Jaap Twisk
Jaap Twisk is a scholar working on Genetics, Oncology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Surgery, having authored 49 papers that have together received 2.9k indexed citations. Recurring topics across this work include Virus-based gene therapy research (15 papers), Cholesterol and Lipid Metabolism (15 papers), Diabetes and associated disorders (14 papers), Drug Transport and Resistance Mechanisms (12 papers), Lipid metabolism and disorders (9 papers), Liver Disease Diagnosis and Treatment (4 papers), Cancer, Lipids, and Metabolism (4 papers) and CRISPR and Genetic Engineering (4 papers). The work is most often cited by research in Genetics (884 citations), Endocrinology, Diabetes and Metabolism (522 citations), Oncology (754 citations), Surgery (1.2k citations) and Cardiology and Cardiovascular Medicine (543 citations). Jaap Twisk has collaborated with scholars based in Netherlands, Canada and Germany. Frequent co-authors include Theo J.C. van Berkel, Miranda Van Eck, P. Hans, Daniel Gaudet, Diane Brisson, I. Sophie T. Bos, Julie Méthot, J. de Wal, Jan Albert Kuivenhoven and John J.P. Kastelein. Their work appears in journals such as Human Gene Therapy, Biochemical Journal, Arteriosclerosis Thrombosis and Vascular Biology, Journal of Clinical Investigation and Atherosclerosis Supplements.
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.