Jaap Twisk

3.6k citations
49 papers · 2.9k indexed · h-index 27

Impact in

Papers in

    • Virus-based gene therapy research 15
    • Diabetes and associated disorders 14
    • Drug Transport and Resistance Mechanisms 12

Jaap Twisk

49 papers receiving 2.8k citations

Peers

Jaap Twisk
Comparison fields: 5 of 99
  • Genetics 884
  • Endocrinology, Diabetes and Metabolism 522
  • Oncology 754
  • Surgery 1.2k
  • Cardiology and Cardiovascular Medicine 543
Replace Martine I. Darville with:
Martine I. Darville Belgium
Alessandro Cama Italy
Phoebe E. Fielding United States
Joshua R. Schultz United States
Sally P.A. McCormick New Zealand
Ying‐Hue Lee United States
Patrick Linsel‐Nitschke Germany
Damien C. Wilpitz United States
Li‐Shin Huang United States
Ruud Out Netherlands
Jaap Twisk relative to Martine I. Darville Belgium Martine I. Darville's profile →
Citations per field
00.5×
Martine I. Darville · 1×
Citations per year

Countries citing papers authored by Jaap Twisk

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jaap Twisk Line = papers co-authored together Jaap Twisk links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2013107
2 2012122
3
Abstract 16900: Gene Therapy With Alipogene Tiparvovec Results in Enhanced Post-Prandial Clearance of Low Density Chylomicrons in LPLD Patients
20102
4 201050
5 200914
6 200952
7 2008145
8 200710
9 200611
10 200668
11 20065
12 2004110
13 200463
14 20038
15 2003198
16 2000199
17 199563
18 199518
19 19943
20 199336

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.

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