J. de Wal

699 total citations
8 papers, 519 citations indexed

About

J. de Wal is a scholar working on Cardiology and Cardiovascular Medicine, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, J. de Wal has authored 8 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 7 papers in Genetics and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in J. de Wal's work include Diabetes and associated disorders (7 papers), Lipid metabolism and disorders (7 papers) and Diabetes Management and Research (2 papers). J. de Wal is often cited by papers focused on Diabetes and associated disorders (7 papers), Lipid metabolism and disorders (7 papers) and Diabetes Management and Research (2 papers). J. de Wal collaborates with scholars based in Canada. J. de Wal's co-authors include Diane Brisson, Daniel Gaudet, Jaap Twisk, Julie Méthot, Karine Tremblay, S. Déry, N. van den Bulk, S van Deventer, G Tremblay and André C. Carpentier and has published in prestigious journals such as Circulation, Gastroenterology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

J. de Wal

8 papers receiving 501 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
J. de Wal Canada	4	275	270	226	125	122	8	519
S. Déry Canada	3	213 0.8×	204 0.8×	164 0.7×	87 0.7×	88 0.7×	5	392
S van Deventer Netherlands	6	216 0.8×	185 0.7×	117 0.5×	57 0.5×	85 0.7×	11	402
N. van den Bulk Canada	3	172 0.6×	169 0.6×	119 0.5×	57 0.5×	66 0.5×	3	307
Taco Bruin Netherlands	12	106 0.4×	134 0.5×	413 1.8×	393 3.1×	259 2.1×	21	662
Deepika Balakrishna United States	9	184 0.7×	85 0.3×	52 0.2×	50 0.4×	99 0.8×	11	441
P. Fain United States	9	124 0.5×	219 0.8×	315 1.4×	104 0.8×	63 0.5×	10	542
Frank Dastvan United States	9	34 0.1×	223 0.8×	64 0.3×	24 0.2×	58 0.5×	9	418
Sae Uno Japan	11	420 1.5×	68 0.3×	20 0.1×	312 2.5×	383 3.1×	18	604
Adrien Lupieri United States	9	59 0.2×	108 0.4×	54 0.2×	23 0.2×	24 0.2×	16	278
Shih-Chong Tsai United States	7	47 0.2×	286 1.1×	41 0.2×	12 0.1×	61 0.5×	8	369

Countries citing papers authored by J. de Wal

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of J. de Wal

This figure shows the co-authorship network connecting the top 25 collaborators of J. de Wal. A scholar is included among the top collaborators of J. de Wal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. de Wal. J. de Wal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Carpentier, André C., Frédérique Frisch, Sébastien M. Labbé, et al.. (2012). Effect of Alipogene Tiparvovec (AAV1-LPL^S447X) on Postprandial Chylomicron Metabolism in Lipoprotein Lipase-Deficient Patients. The Journal of Clinical Endocrinology & Metabolism. 97(5). 1635–1644. 122 indexed citations

Bruno, Marco J., Mark Deakin, Philippe Ruszniewski, et al.. (2012). 557 Alipogene Tiparvovec Gene Therapy Reduces the Risk of Acute Pancreatitis in Patients With Lipoprotein Lipase Deficiency. Gastroenterology. 142(5). S–112. 3 indexed citations

Gaudet, Daniel, Julie Méthot, S. Déry, et al.. (2012). Efficacy and long-term safety of alipogene tiparvovec (AAV1-LPLS447X) gene therapy for lipoprotein lipase deficiency: an open-label trial. Gene Therapy. 20(4). 361–369. 302 indexed citations

Carpentier, André C., Frédérique Frisch, Sébastien M. Labbé, et al.. (2010). Abstract 16900: Gene Therapy With Alipogene Tiparvovec Results in Enhanced Post-Prandial Clearance of Low Density Chylomicrons in LPLD Patients. Circulation. 122. 2 indexed citations

Gaudet, Daniel, J. de Wal, Karine Tremblay, et al.. (2010). Review of the clinical development of alipogene tiparvovec gene therapy for lipoprotein lipase deficiency. Atherosclerosis Supplements. 11(1). 55–60. 86 indexed citations

Gaudet, Daniel, Julie Méthot, C Gagné, et al.. (2010). Gene Therapy With Alipogene Tiparvovec Results in Enhanced Post-prandial Clearance of Chylomicrons in LPLD Patients. Atherosclerosis Supplements. 11(1). 74–74. 1 indexed citations

Gaudet, Daniel, et al.. (2010). L7 RESULTS OF FIRST FOLLOW UP STUDY WITH GENE THERAPY WITH ALIPOGENE TIPARVOVEC (AMT-011) IN LIPOPROTEIN LIPASE DEFICIENCY (LPLD). Atherosclerosis Supplements. 11(2). 15–15. 2 indexed citations

Franssen, Remco, Daniel Gaudet, Erik S.G. Stroes, et al.. (2009). Abstract 2093: AAV1-LPLS447X Gene Therapy With Alipogene Tiparvovec Prevents Pancreatitis in Lipoprotein Lipase Deficiency. Circulation. 120. 1 indexed citations

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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