Barbara Sjouke

2.4k total citations · 2 hit papers
35 papers, 1.4k citations indexed

About

Barbara Sjouke is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Barbara Sjouke has authored 35 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Surgery, 12 papers in Endocrinology, Diabetes and Metabolism and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Barbara Sjouke's work include Lipoproteins and Cardiovascular Health (20 papers), Cancer, Lipids, and Metabolism (8 papers) and Lysosomal Storage Disorders Research (8 papers). Barbara Sjouke is often cited by papers focused on Lipoproteins and Cardiovascular Health (20 papers), Cancer, Lipids, and Metabolism (8 papers) and Lysosomal Storage Disorders Research (8 papers). Barbara Sjouke collaborates with scholars based in Netherlands, France and United States. Barbara Sjouke's co-authors include John J.P. Kastelein, G. Kees Hovingh, Gilles Lambert, Benjamin Choque, Joep C. Defesche, Albert Wiegman, Sigrid W. Fouchier, Joost Besseling, D. Meeike Kusters and Jacqueline de Graaf and has published in prestigious journals such as Journal of the American College of Cardiology, Scientific Reports and European Heart Journal.

In The Last Decade

Barbara Sjouke

35 papers receiving 1.4k citations

Hit Papers

The PCSK9 decade 2012 2026 2016 2021 2012 2014 100 200 300

Peers

Barbara Sjouke
Patrick M. Moriarty United States
Roeland Huijgen Netherlands
Clare Neuwirth United Kingdom
Joost Besseling Netherlands
Sigrid W. Fouchier Netherlands
Shazia Ali United States
Ros Whittall United Kingdom
Patrick M. Moriarty United States
Barbara Sjouke
Citations per year, relative to Barbara Sjouke Barbara Sjouke (= 1×) peers Patrick M. Moriarty

Countries citing papers authored by Barbara Sjouke

Since Specialization
Citations

This map shows the geographic impact of Barbara Sjouke'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 Barbara Sjouke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Sjouke more than expected).

Fields of papers citing papers by Barbara Sjouke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barbara Sjouke. 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 Barbara Sjouke. The network helps show where Barbara Sjouke may publish in the future.

Co-authorship network of co-authors of Barbara Sjouke

This figure shows the co-authorship network connecting the top 25 collaborators of Barbara Sjouke. A scholar is included among the top collaborators of Barbara Sjouke 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 Barbara Sjouke. Barbara Sjouke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dussen, Laura van, Marion M. Brands, Frédéric M. Vaz, et al.. (2024). Natural disease course of chronic visceral acid sphingomyelinase deficiency in adults: A first step toward treatment criteria. Journal of Inherited Metabolic Disease. 48(1). e12789–e12789. 2 indexed citations
2.
Dussen, Laura van, Johannes M. F. G. Aerts, Mario Maas, et al.. (2024). Acid sphingomyelinase deficiency and Gaucher disease in adults: Similarities and differences in two macrophage storage disorders. JIMD Reports. 65(5). 330–340. 1 indexed citations
3.
Veldwijk, Jorien, et al.. (2024). Different diseases, different needs: Patient preferences for gene therapy in lysosomal storage disorders, a probabilistic threshold technique survey. Orphanet Journal of Rare Diseases. 19(1). 367–367. 1 indexed citations
4.
Sjouke, Barbara, et al.. (2023). Glycoprotein non-metastatic protein B (GPNMB) plasma values in patients with chronic visceral acid sphingomyelinase deficiency. Molecular Genetics and Metabolism. 139(4). 107631–107631. 4 indexed citations
5.
Draijer, Laura G., Annet M. Bosch, Albert Wiegman, et al.. (2018). Screening for lysosomal acid lipase deficiency: A retrospective data mining study and evaluation of screening criteria. Atherosclerosis. 278. 174–179. 2 indexed citations
6.
Luirink, Ilse K., Marjet J.A.M. Braamskamp, Albert Wiegman, et al.. (2018). The clinical and molecular diversity of homozygous familial hypercholesterolemia in children: Results from the GeneTics of clinical homozygous hypercholesterolemia (GoTCHA) study. Journal of clinical lipidology. 13(2). 272–278. 11 indexed citations
7.
Sjouke, Barbara, Michael W.T. Tanck, Joep C. Defesche, et al.. (2017). Plasma lipoprotein(a) levels in patients with homozygous autosomal dominant hypercholesterolemia. Journal of clinical lipidology. 11(2). 507–514. 14 indexed citations
8.
Sjouke, Barbara, Joep C. Defesche, Merel L. Hartgers, et al.. (2016). Double-heterozygous autosomal dominant hypercholesterolemia: Clinical characterization of an underreported disease. Journal of clinical lipidology. 10(6). 1462–1469. 19 indexed citations
9.
Sjouke, Barbara, Michael W.T. Tanck, Sigrid W. Fouchier, et al.. (2016). Children with hypercholesterolemia of unknown cause: Value of genetic risk scores. Journal of clinical lipidology. 10(4). 851–859. 21 indexed citations
11.
Kastelein, John J.P., et al.. (2016). Thyroid Hormone Mimetics: the Past, Current Status and Future Challenges. Current Atherosclerosis Reports. 18(3). 14–14. 23 indexed citations
12.
Sjouke, Barbara, et al.. (2016). Sequencing for LIPA mutations in patients with a clinical diagnosis of familial hypercholesterolemia. Atherosclerosis. 251. 263–265. 25 indexed citations
13.
Raal, Frederick J., et al.. (2016). Phenotype diversity among patients with homozygous familial hypercholesterolemia: A cohort study. Atherosclerosis. 248. 238–244. 36 indexed citations
14.
Sjouke, Barbara, G. Kees Hovingh, John J.P. Kastelein, & Claudia Stefanutti. (2015). Homozygous autosomal dominant hypercholesterolaemia. Current Opinion in Lipidology. 26(3). 200–209. 42 indexed citations
15.
Besseling, Joost, Barbara Sjouke, & John J.P. Kastelein. (2015). Screening and treatment of familial hypercholesterolemia – Lessons from the past and opportunities for the future (based on the Anitschkow Lecture 2014). Atherosclerosis. 241(2). 597–606. 29 indexed citations
16.
Sjouke, Barbara, D. Meeike Kusters, Iris Kindt, et al.. (2014). HOMOZYGOUS AUTOSOMAL DOMINANT HYPERCHOLESTEROLEMIA IN THE NETHERLANDS: PREVALENCE, GENOTYPE-PHENOTYPE RELATIONSHIP AND CLINICAL OUTCOME. Journal of the American College of Cardiology. 63(12). A2050–A2050. 28 indexed citations
17.
Wijk, Diederik F. van, Barbara Sjouke, Amparo L. Figueroa, et al.. (2014). Nonpharmacological Lipoprotein Apheresis Reduces Arterial Inflammation in Familial Hypercholesterolemia. Journal of the American College of Cardiology. 64(14). 1418–1426. 76 indexed citations
18.
Sjouke, Barbara, Gisle Langslet, R Češka, et al.. (2014). Eprotirome in patients with familial hypercholesterolaemia (the AKKA trial): a randomised, double-blind, placebo-controlled phase 3 study. The Lancet Diabetes & Endocrinology. 2(6). 455–463. 88 indexed citations
19.
Sjouke, Barbara, Deepak Balak, Ulrich Beuers, Vlad Ratziu, & Erik S.G. Stroes. (2013). Is mipomersen ready for clinical implementation? A transatlantic dilemma. Current Opinion in Lipidology. 24(4). 301–306. 18 indexed citations
20.
Lambert, Gilles, Barbara Sjouke, Benjamin Choque, John J.P. Kastelein, & G. Kees Hovingh. (2012). The PCSK9 decade. Journal of Lipid Research. 53(12). 2515–2524. 346 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026