Iris Kindt

2.8k total citations · 1 hit paper
27 papers, 1.2k citations indexed

About

Iris Kindt is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Economics and Econometrics. According to data from OpenAlex, Iris Kindt has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Surgery, 9 papers in Endocrinology, Diabetes and Metabolism and 9 papers in Economics and Econometrics. Recurrent topics in Iris Kindt's work include Lipoproteins and Cardiovascular Health (24 papers), Health Systems, Economic Evaluations, Quality of Life (9 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers). Iris Kindt is often cited by papers focused on Lipoproteins and Cardiovascular Health (24 papers), Health Systems, Economic Evaluations, Quality of Life (9 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers). Iris Kindt collaborates with scholars based in Netherlands, United States and Australia. Iris Kindt's co-authors include John J.P. Kastelein, Barbara A. Hutten, Roeland Huijgen, Joost Besseling, G. Kees Hovingh, Joep C. Defesche, Maud N. Vissers, Eric J.G. Sijbrands, D. Meeike Kusters and Sigrid W. Fouchier and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and European Heart Journal.

In The Last Decade

Iris Kindt

26 papers receiving 1.1k citations

Hit Papers

Homozygous autosomal dominant hypercholesterolaemia in th... 2014 2026 2018 2022 2014 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Homozygous autosomal dominant hypercholesterolaemia in the Netherlands: prevalence, genotype–phenotype relationship, and clinical outcome
    2014 308 citations Barbara Sjouke, D. Meeike Kusters et al. European Heart Journal profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iris Kindt Netherlands 17 984 398 327 232 232 27 1.2k
Nelva Mata Spain 14 786 0.8× 294 0.7× 280 0.9× 201 0.9× 146 0.6× 20 952
Maya Safarova United States 15 522 0.5× 167 0.4× 159 0.5× 211 0.9× 116 0.5× 47 736
Seamus C. Harrison United Kingdom 12 492 0.5× 134 0.3× 142 0.4× 335 1.4× 95 0.4× 21 866
M.A.W. Umans-Eckenhausen Netherlands 7 450 0.5× 166 0.4× 123 0.4× 108 0.5× 93 0.4× 10 515
Robert A. Hegele Canada 5 509 0.5× 241 0.6× 199 0.6× 158 0.7× 55 0.2× 5 641
Sophie Béliard France 19 377 0.4× 257 0.6× 115 0.4× 213 0.9× 43 0.2× 54 782
Steven C. Hunt United States 4 462 0.5× 198 0.5× 154 0.5× 126 0.5× 58 0.3× 4 539
Liv Mundal Norway 13 412 0.4× 146 0.4× 143 0.4× 123 0.5× 120 0.5× 26 485
Maxine D. Fisher United States 18 203 0.2× 146 0.4× 77 0.2× 107 0.5× 126 0.5× 52 744
S. Di Giacomo Italy 17 450 0.5× 199 0.5× 95 0.3× 222 1.0× 43 0.2× 42 680

Countries citing papers authored by Iris Kindt

Since Specialization
Citations

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

Fields of papers citing papers by Iris Kindt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iris Kindt

This figure shows the co-authorship network connecting the top 25 collaborators of Iris Kindt. A scholar is included among the top collaborators of Iris Kindt 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 Iris Kindt. Iris Kindt 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.
Gidding, Samuel S., Cynthia L. Neben, Hannah Williams, et al.. (2020). Patient acceptance of genetic testing for familial hypercholesterolemia in the CASCADE FH Registry. Journal of clinical lipidology. 14(2). 218–223.e2. 20 indexed citations
2.
Ferranti, Sarah D. de, Peter Shrader, MacRae F. Linton, et al.. (2020). Children with Heterozygous Familial Hypercholesterolemia in the United States: Data from the Cascade Screening for Awareness and Detection-FH Registry. The Journal of Pediatrics. 229. 70–77. 10 indexed citations
3.
Brown, Emily, Brittney Murray, Iris Kindt, et al.. (2020). Perspectives from individuals with familial hypercholesterolemia on direct contact in cascade screening. Journal of Genetic Counseling. 29(6). 1142–1150. 13 indexed citations
4.
Wand, Hannah, Amy C. Sturm, Lori H. Erby, Iris Kindt, & William M. P. Klein. (2019). Genetic testing preferences and intentions in patients with clinically diagnosed familial hypercholesterolemia. Journal of Genetic Counseling. 29(6). 919–927. 1 indexed citations
5.
Kindt, Iris, Pedro Mata, & Joshua W. Knowles. (2017). The role of registries and genetic databases in familial hypercholesterolemia. Current Opinion in Lipidology. 28(2). 152–160. 35 indexed citations
6.
Besseling, Joost, Iris Kindt, Michel H. Hof, et al.. (2014). Severe heterozygous familial hypercholesterolemia and risk for cardiovascular disease: A study of a cohort of 14,000 mutation carriers. Atherosclerosis. 233(1). 219–223. 162 indexed citations
7.
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
8.
Sjouke, Barbara, D. Meeike Kusters, Iris Kindt, et al.. (2014). Homozygous autosomal dominant hypercholesterolaemia in the Netherlands: prevalence, genotype–phenotype relationship, and clinical outcome. European Heart Journal. 36(9). 560–565. 308 indexed citations breakdown →
9.
O’Brien, Emily C., Matthew T. Roe, Elizabeth Fraulo, et al.. (2013). Rationale and design of the familial hypercholesterolemia foundation CAscade SCreening for Awareness and DEtection of Familial Hypercholesterolemia registry. American Heart Journal. 167(3). 342–349.e17. 61 indexed citations
10.
Broekhuizen, Karen, Mireille N. M. van Poppel, Lando L. J. Koppes, et al.. (2012). Can Multiple Lifestyle Behaviours Be Improved in People with Familial Hypercholesterolemia? Results of a Parallel Randomised Controlled Trial. PLoS ONE. 7(12). e50032–e50032. 31 indexed citations
11.
Avis, Hans J., D. Meeike Kusters, Maud N. Vissers, et al.. (2012). Follow-Up of Children Diagnosed with Familial Hypercholesterolemia in a National Genetic Screening Program. The Journal of Pediatrics. 161(1). 99–103. 26 indexed citations
12.
Huijgen, Roeland, et al.. (2012). Improved access to life insurance after genetic diagnosis of familial hypercholesterolaemia: cross-sectional postal questionnaire study. European Journal of Human Genetics. 20(7). 722–728. 16 indexed citations
13.
14.
Broekhuizen, Karen, Mireille N. M. van Poppel, Lando L. J. Koppes, et al.. (2012). No significant improvement of cardiovascular disease risk indicators by a lifestyle intervention in people with Familial Hypercholesterolemia compared to usual care: results of a randomised controlled trial. BMC Research Notes. 5(1). 181–181. 26 indexed citations
15.
Huijgen, Roeland, Barbara A. Hutten, Iris Kindt, Maud N. Vissers, & John J.P. Kastelein. (2012). Discriminative Ability of LDL-Cholesterol to Identify Patients With Familial Hypercholesterolemia. Circulation Cardiovascular Genetics. 5(3). 354–359. 58 indexed citations
16.
Huijgen, Roeland, Maud N. Vissers, Iris Kindt, et al.. (2011). Assessment of Carotid Atherosclerosis in Normocholesterolemic Individuals With Proven Mutations in the Low-Density Lipoprotein Receptor or Apolipoprotein B Genes. Circulation Cardiovascular Genetics. 4(4). 413–417. 34 indexed citations
17.
Huijgen, Roeland, Iris Kindt, Sigrid W. Fouchier, et al.. (2010). Functionality of sequence variants in the genes coding for the low-density lipoprotein receptor and apolipoprotein B in individuals with inherited hypercholesterolemia. Human Mutation. 31(6). 752–760. 33 indexed citations
18.
Huijgen, Roeland, Iris Kindt, Eric J.G. Sijbrands, et al.. (2010). Two Years after Molecular Diagnosis of Familial Hypercholesterolemia: Majority on Cholesterol-Lowering Treatment but a Minority Reaches Treatment Goal. PLoS ONE. 5(2). e9220–e9220. 96 indexed citations
19.
Kindt, Iris, et al.. (2007). De praktijkondersteuner op zoek naar familiaire hypercholesterolemie. 2(1). 19–24.
20.
Knipscheer, H.C., Iris Kindt, A. van den Ende, et al.. (1997). Magnesium pyridoxal-5′-phosphate glutamate, "A vitamin B 6 derivative", does not affect lipoprotein levels in patients with familial hypercholesterolaemia. European Journal of Clinical Pharmacology. 51(6). 499–503. 4 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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