Rindert de Vries

848 total citations
24 papers, 714 citations indexed

About

Rindert de Vries is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Rindert de Vries has authored 24 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Endocrinology, Diabetes and Metabolism, 11 papers in Epidemiology and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Rindert de Vries's work include Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers), Cardiovascular Health and Disease Prevention (8 papers) and Adipokines, Inflammation, and Metabolic Diseases (7 papers). Rindert de Vries is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers), Cardiovascular Health and Disease Prevention (8 papers) and Adipokines, Inflammation, and Metabolic Diseases (7 papers). Rindert de Vries collaborates with scholars based in Netherlands, Denmark and France. Rindert de Vries's co-authors include Robin P.F. Dullaart, Wim J. Sluiter, Robin P. F. Dullaart, Arie van Tol, Frank G. Perton, Geesje M. Dallinga‐Thie, Paul J.W.H. Kappelle, Bruce H. R. Wolffenbuttel, Hieronymus A.M. Voorbij and Anneke C. Muller Kobold and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes and Clinica Chimica Acta.

In The Last Decade

Rindert de Vries

24 papers receiving 702 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rindert de Vries Netherlands	17	391	239	191	161	151	24	714
Kaihui Liang United States	15	281 0.7×	363 1.5×	103 0.5×	146 0.9×	143 0.9×	17	834
Kati Ylitalo Finland	16	365 0.9×	356 1.5×	124 0.6×	312 1.9×	212 1.4×	22	910
Felicia Y. T. Yap Australia	12	495 1.3×	266 1.1×	148 0.8×	102 0.6×	209 1.4×	15	1.0k
Mitsuo Tanimoto Japan	20	251 0.6×	143 0.6×	129 0.7×	198 1.2×	222 1.5×	45	1.1k
Hiromi Fujishima Japan	12	389 1.0×	206 0.9×	198 1.0×	96 0.6×	260 1.7×	12	1.0k
Gregory Proctor United States	5	187 0.5×	269 1.1×	174 0.9×	79 0.5×	279 1.8×	5	849
George J. Miller United Kingdom	16	240 0.6×	145 0.6×	74 0.4×	153 1.0×	206 1.4×	17	826
Stanislav Oravec Slovakia	16	217 0.6×	219 0.9×	103 0.5×	124 0.8×	65 0.4×	46	611
Christelle Foucher France	12	380 1.0×	331 1.4×	83 0.4×	138 0.9×	206 1.4×	24	810
Frank G. Perton Netherlands	13	293 0.7×	265 1.1×	91 0.5×	81 0.5×	106 0.7×	23	505

Countries citing papers authored by Rindert de Vries

Since Specialization

Citations

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

Fields of papers citing papers by Rindert de Vries

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rindert de Vries. 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 Rindert de Vries. The network helps show where Rindert de Vries may publish in the future.

Co-authorship network of co-authors of Rindert de Vries

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

All Works

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20 of 20 papers shown

Dullaart, Robin P.F., Rindert de Vries, & Joop D. Lefrandt. (2014). Increased large VLDL and small LDL particles are related to lower bilirubin in Type 2 diabetes mellitus. Clinical Biochemistry. 47(16-17). 170–175. 15 indexed citations

Triolo, M., Arjan J. Kwakernaak, Frank G. Perton, et al.. (2013). Low normal thyroid function enhances plasma cholesteryl ester transfer in Type 2 diabetes mellitus. Atherosclerosis. 228(2). 466–471. 18 indexed citations

Vries, Rindert de, Bert D. Dikkeschei, Wim J. Sluiter, et al.. (2012). Statin and Fibrate Combination Does not Additionally Lower Plasma Cholesteryl Ester Transfer in Type 2 Diabetes Mellitus. Clinical Laboratory. 59(01+02/2013). 1231–9. 7 indexed citations

Vries, Rindert de, Thomas Gautier, L. Joost van Pelt, et al.. (2012). Simvastatin but not bezafibrate decreases plasma lipoprotein-associated phospholipase A2 mass in type 2 diabetes mellitus: Relevance of high sensitive C-reactive protein, lipoprotein profile and low-density lipoprotein (LDL) electronegativity. European Journal of Internal Medicine. 23(7). 633–638. 11 indexed citations

Dullaart, Robin P.F., Paul J.W.H. Kappelle, & Rindert de Vries. (2012). Lower carotid intima media thickness is predicted by higher serum bilirubin in both non-diabetic and Type 2 diabetic subjects. Clinica Chimica Acta. 414. 161–165. 30 indexed citations

Mulder, Douwe J., Jan Freark de Boer, Reindert Graaff, et al.. (2011). Skin autofluorescence is inversely related to HDL anti-oxidative capacity in type 2 diabetes mellitus. Atherosclerosis. 218(1). 102–106. 21 indexed citations

Vries, Rindert de, Paul J.W.H. Kappelle, Geesje M. Dallinga‐Thie, & Robin P. F. Dullaart. (2011). Plasma phospholipid transfer protein activity is independently determined by obesity and insulin resistance in non-diabetic subjects. Atherosclerosis. 217(1). 253–259. 15 indexed citations

Dullaart, Robin P. F., et al.. (2011). Plasma Cholesteryl Ester Transfer, But Not Cholesterol Esterification, Is Related to Lipoprotein-Associated Phospholipase A2: Possible Contribution to an Atherogenic Lipoprotein Profile. The Journal of Clinical Endocrinology & Metabolism. 96(4). 1077–1084. 11 indexed citations

Vries, Rindert de, Frank G. Perton, Arie van Tol, & Robin P. F. Dullaart. (2011). Carotid intima media thickness is related positively to plasma pre ß-high density lipoproteins in non-diabetic subjects. Clinica Chimica Acta. 413(3-4). 473–477. 17 indexed citations

10.

Pelt, L. Joost van, Rindert de Vries, René A. Tio, et al.. (2011). Carotid intima media thickness is associated with plasma lipoprotein-associated phospholipase A2 mass in nondiabetic subjects but not in patients with type 2 diabetes. European Journal of Clinical Investigation. 41(8). 820–827. 16 indexed citations

11.

Kappelle, Paul J.W.H., Jan Freark de Boer, Frank G. Perton, et al.. (2011). Increased LCAT activity and hyperglycaemia decrease the antioxidative functionality of HDL. European Journal of Clinical Investigation. 42(5). 487–495. 54 indexed citations

12.

Lutgers, Helen L., Reindert Graaff, Rindert de Vries, Andries J. Smit, & Robin P.F. Dullaart. (2010). Carotid artery intima media thickness associates with skin autofluoresence in non‐diabetic subjects without clinically manifest cardiovascular disease. European Journal of Clinical Investigation. 40(9). 812–817. 40 indexed citations

13.

Kappelle, Paul J.W.H., Josefin Ahnström, Bert D. Dikkeschei, et al.. (2010). Plasma apolipoprotein M responses to statin and fibrate administration in type 2 diabetes mellitus. Atherosclerosis. 213(1). 247–250. 11 indexed citations

14.

Dullaart, Robin P. F., Peter Plomgaard, Rindert de Vries, Björn Dahlbäck, & Lars B. Nielsen. (2009). Plasma apolipoprotein M is reduced in metabolic syndrome but does not predict intima media thickness. Clinica Chimica Acta. 406(1-2). 129–133. 29 indexed citations

15.

Dullaart, Robin P. F., Albert K. Groen, Geesje M. Dallinga‐Thie, et al.. (2008). Fibroblast cholesterol efflux to plasma from metabolic syndrome subjects is not defective despite low high-density lipoprotein cholesterol. European Journal of Endocrinology. 158(1). 53–60. 29 indexed citations

16.

Dullaart, Robin P.F., Rindert de Vries, Wim J. Sluiter, & Hieronymus A.M. Voorbij. (2008). High plasma C‐reactive protein (CRP) is related to low paraoxonase‐I (PON‐I) activity independently of high leptin and low adiponectin in type 2 diabetes mellitus. Clinical Endocrinology. 70(2). 221–226. 50 indexed citations

17.

Dullaart, Robin P. F., Frank G. Perton, Wim J. Sluiter, Rindert de Vries, & Arie van Tol. (2008). Plasma Lecithin: Cholesterol Acyltransferase Activity Is Elevated in Metabolic Syndrome and Is an Independent Marker of Increased Carotid Artery Intima Media Thickness. The Journal of Clinical Endocrinology & Metabolism. 93(12). 4860–4866. 48 indexed citations

18.

Dullaart, Robin P. F., et al.. (2007). Carotid artery intima media thickness is inversely related to serum free thyroxine in euthyroid subjects. Clinical Endocrinology. 67(5). 668–673. 63 indexed citations

19.

Dullaart, Robin P.F., Rindert de Vries, Arie van Tol, & Wim J. Sluiter. (2007). Lower plasma adiponectin is a marker of increased intima-media thickness associated with type 2 diabetes mellitus and with male gender. European Journal of Endocrinology. 156(3). 387–394. 51 indexed citations

20.

Vries, Rindert de, Bruce H. R. Wolffenbuttel, Wim J. Sluiter, Arie van Tol, & Robin P.F. Dullaart. (2005). Post-heparin plasma lipoprotein lipase, but not hepatic lipase activity, is related to plasma adiponectin in type 2 diabetic patients and healthy subjects.. PubMed. 51(7-8). 403–9. 29 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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