Minke H. de Ru

511 total citations
9 papers, 408 citations indexed

About

Minke H. de Ru is a scholar working on Physiology, Organic Chemistry and Genetics. According to data from OpenAlex, Minke H. de Ru has authored 9 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 3 papers in Organic Chemistry and 3 papers in Genetics. Recurrent topics in Minke H. de Ru's work include Lysosomal Storage Disorders Research (7 papers), Neurogenetic and Muscular Disorders Research (3 papers) and Carbohydrate Chemistry and Synthesis (3 papers). Minke H. de Ru is often cited by papers focused on Lysosomal Storage Disorders Research (7 papers), Neurogenetic and Muscular Disorders Research (3 papers) and Carbohydrate Chemistry and Synthesis (3 papers). Minke H. de Ru collaborates with scholars based in Netherlands, United Kingdom and United States. Minke H. de Ru's co-authors include Frits A. Wijburg, Lodewijk IJlst, Naomi van Vlies, Tom Wagemans, Johanna H. van der Lee, Eugen Mengel, Myra C.B. van Zwieten, Vassili Valayannopoulos, Attilio Rovelli and Karl‐Walter Sykora and has published in prestigious journals such as Orphanet Journal of Rare Diseases, Molecular Genetics and Metabolism and Journal of Inherited Metabolic Disease.

In The Last Decade

Minke H. de Ru

8 papers receiving 392 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minke H. de Ru Netherlands 7 334 159 87 84 72 9 408
Daniela Gaggioli Argentina 7 457 1.4× 174 1.1× 93 1.1× 127 1.5× 74 1.0× 8 531
Fernanda Bender Brazil 10 216 0.6× 117 0.7× 50 0.6× 48 0.6× 35 0.5× 28 300
Mariana Blanco Argentina 11 587 1.8× 222 1.4× 137 1.6× 154 1.8× 127 1.8× 13 673
Hsuan-Chieh Liao Taiwan 8 247 0.7× 96 0.6× 56 0.6× 97 1.2× 48 0.7× 8 315
Denise Norato Brazil 8 219 0.7× 104 0.7× 59 0.7× 100 1.2× 17 0.2× 12 310
Veronica Pagliardini Italy 11 178 0.5× 62 0.4× 58 0.7× 103 1.2× 29 0.4× 16 346
Manuela Nascimento de Lemos Brazil 6 238 0.7× 123 0.8× 67 0.8× 61 0.7× 54 0.8× 10 298
Sam Beeckman Belgium 5 220 0.7× 36 0.2× 98 1.1× 111 1.3× 105 1.5× 6 455
Evangelia Dimitriou Greece 14 288 0.9× 161 1.0× 75 0.9× 21 0.3× 134 1.9× 29 491
Linda van der Tol Netherlands 7 493 1.5× 234 1.5× 161 1.9× 156 1.9× 164 2.3× 10 529

Countries citing papers authored by Minke H. de Ru

Since Specialization
Citations

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

Fields of papers citing papers by Minke H. de Ru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Minke H. de Ru. 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 Minke H. de Ru. The network helps show where Minke H. de Ru may publish in the future.

Co-authorship network of co-authors of Minke H. de Ru

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

All Works

9 of 9 papers shown
1.
Bouwman, Machtelt G., Minke H. de Ru, Gabor E. Linthorst, et al.. (2013). Fabry patients' experiences with the timing of diagnosis relevant for the discussion on newborn screening. Molecular Genetics and Metabolism. 109(2). 201–207. 23 indexed citations
3.
Ru, Minke H. de, Machtelt G. Bouwman, Frits A. Wijburg, & Myra C.B. van Zwieten. (2012). Experiences of parents and patients with the timing of Mucopolysaccharidosis type I (MPS I) diagnoses and its relevance to the ethical debate on newborn screening. Molecular Genetics and Metabolism. 107(3). 501–507. 30 indexed citations
4.
Ruijter, Jessica de, Minke H. de Ru, Tom Wagemans, et al.. (2012). Heparan sulfate and dermatan sulfate derived disaccharides are sensitive markers for newborn screening for mucopolysaccharidoses types I, II and III. Molecular Genetics and Metabolism. 107(4). 705–710. 90 indexed citations
5.
Ru, Minke H. de, Johanna H. van der Lee, Michael Beck, et al.. (2012). Capturing phenotypic heterogeneity in MPS I: results of an international consensus procedure. Orphanet Journal of Rare Diseases. 7(1). 22–22. 23 indexed citations
6.
Tol, Linda van der, et al.. (2012). MPS I: Monitoring Plasma And Urine Levels Of Dermatan And Heparan Sulfate During Enzyme Replacement Therapy. Molecular Genetics and Metabolism. 105(2). S62–S62. 1 indexed citations
7.
Ru, Minke H. de, Jaap Jan Boelens, Anibh M. Das, et al.. (2011). Enzyme replacement therapy and/or hematopoietic stem cell transplantation at diagnosis in patients with mucopolysaccharidosis type I: results of a European consensus procedure. Orphanet Journal of Rare Diseases. 6(1). 55–55. 177 indexed citations
8.
Ru, Minke H. de, et al.. (2010). Anemie, trombocytopenie en hepatosplenomegalie: de ziekte van Gaucher. Tijdschrift voor kindergeneeskunde. 78(2). 73–77.
9.
Kant, Sarina G., Floor K Grote, Minke H. de Ru, et al.. (2007). Radiographic Evaluation of Children with Growth Disorders. Hormone Research in Paediatrics. 68(6). 310–315. 19 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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