J. de Wal
Impact in
-
- Lipid metabolism and disorders
- Genetics top 10%
- Virus-based gene therapy research
Papers in
-
- Lipid metabolism and disorders 7
- Genetics 6
- Diabetes and associated disorders 6
- Chronic Lymphocytic Leukemia Research 1
- Co-authors
- Daniel Gaudet (8 shared papers)Diane Brisson (7 shared papers)Jaap Twisk (4 shared papers)Julie Méthot (5 shared papers)Karine Tremblay (4 shared papers)S. Déry (4 shared papers)G Tremblay (1 shared paper)N. van den Bulk (3 shared papers)
- Journals
- Atherosclerosis Supplements (3 papers)Circulation (2 papers)Gene Therapy (1 paper)Gastroenterology (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)
- Partner nations
- Canada
In The Last Decade
J. de Wal
8 papers receiving 509 citations
Peers
Comparison fields: 5 of 43
- Cardiology and Cardiovascular Medicine 215
- Genetics 259
- Endocrinology, Diabetes and Metabolism 87
- Molecular Biology 253
- Oncology 79
Countries citing papers authored by J. de Wal
This map shows the geographic impact of J. de Wal'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 J. de Wal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. de Wal more than expected).
Fields of papers citing papers by J. de Wal
This network shows the impact of papers produced by J. de Wal. 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 J. de Wal. The network helps show where J. de Wal may publish in the future.
Co-authors
The 25 scholars most cited alongside J. de Wal, 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 | 2012 | 308 | |
| 2 | 2012 | 123 | |
| 3 | 2010 | 86 | |
| 4 | 2012 | 3 | |
| 5 | Abstract 16900: Gene Therapy With Alipogene Tiparvovec Results in Enhanced Post-Prandial Clearance of Low Density Chylomicrons in LPLD Patients | 2010 | 2 |
| 6 | 2010 | 2 | |
| 7 | Abstract 2093: AAV1-LPLS447X Gene Therapy With Alipogene Tiparvovec Prevents Pancreatitis in Lipoprotein Lipase Deficiency | 2009 | 1 |
| 8 | 2010 | 1 |
About J. de Wal
J. de Wal is a scholar working on Cardiology and Cardiovascular Medicine, Genetics, Surgery, Genetics and Pulmonary and Respiratory Medicine, having authored 8 papers that have together received 526 indexed citations. Recurring topics across this work include Lipid metabolism and disorders (7 papers), Diabetes and associated disorders (6 papers), Diabetes Management and Research (1 paper), Erythrocyte Function and Pathophysiology (1 paper), Chronic Lymphocytic Leukemia Research (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Pancreatitis Pathology and Treatment (1 paper) and Cystic Fibrosis Research Advances (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (215 citations), Genetics (259 citations), Endocrinology, Diabetes and Metabolism (87 citations), Molecular Biology (253 citations) and Oncology (79 citations). J. de Wal has collaborated with scholars based in Canada. Frequent co-authors include Daniel Gaudet, Diane Brisson, Jaap Twisk, Julie Méthot, Karine Tremblay, S. Déry, G Tremblay, N. van den Bulk, S van Deventer and René Gagnon. Their work appears in journals such as Atherosclerosis Supplements, Circulation, Gene Therapy, Gastroenterology and The Journal of Clinical Endocrinology & 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.