Daisy Rymen

1.7k total citations
23 papers, 380 citations indexed

About

Daisy Rymen is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Daisy Rymen has authored 23 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Genetics and 7 papers in Physiology. Recurrent topics in Daisy Rymen's work include Glycosylation and Glycoproteins Research (12 papers), Cellular transport and secretion (4 papers) and Lysosomal Storage Disorders Research (4 papers). Daisy Rymen is often cited by papers focused on Glycosylation and Glycoproteins Research (12 papers), Cellular transport and secretion (4 papers) and Lysosomal Storage Disorders Research (4 papers). Daisy Rymen collaborates with scholars based in Belgium, Italy and France. Daisy Rymen's co-authors include Gert Matthijs, Jaak Jaeken, J. Jaeken, Valérie Race, Luisa Sturiale, Liesbeth Keldermans, Erika Souche, Romain Péanne, François Foulquier and Domenico Garozzo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Human Molecular Genetics and Cellular and Molecular Life Sciences.

In The Last Decade

Daisy Rymen

22 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daisy Rymen Belgium 11 248 98 83 82 78 23 380
Romain Péanne Belgium 9 416 1.7× 124 1.3× 129 1.6× 123 1.5× 142 1.8× 11 576
Karin Huijben Netherlands 12 476 1.9× 121 1.2× 120 1.4× 125 1.5× 171 2.2× 18 594
Junko Iijima Japan 9 194 0.8× 126 1.3× 38 0.5× 19 0.2× 78 1.0× 25 415
Martin Hasilik Germany 6 531 2.1× 77 0.8× 97 1.2× 146 1.8× 192 2.5× 8 651
T Orii Japan 14 367 1.5× 34 0.3× 44 0.5× 170 2.1× 56 0.7× 28 538
Ayumi Tsukamoto Japan 9 228 0.9× 85 0.9× 60 0.7× 29 0.4× 36 0.5× 23 380
Brian Frederick United States 8 321 1.3× 32 0.3× 121 1.5× 57 0.7× 62 0.8× 10 474
F.D. Böhmer Germany 8 322 1.3× 55 0.6× 33 0.4× 21 0.3× 55 0.7× 13 489
G. Sica Italy 13 166 0.7× 105 1.1× 37 0.4× 22 0.3× 75 1.0× 43 415
Hoai‐Nghia Nguyen Vietnam 10 232 0.9× 36 0.4× 90 1.1× 21 0.3× 45 0.6× 44 345

Countries citing papers authored by Daisy Rymen

Since Specialization
Citations

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

Fields of papers citing papers by Daisy Rymen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisy Rymen

This figure shows the co-authorship network connecting the top 25 collaborators of Daisy Rymen. A scholar is included among the top collaborators of Daisy Rymen 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 Daisy Rymen. Daisy Rymen 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.
Staufner, Christian, René G. Feichtinger, Johannes Häberle, et al.. (2025). Hepatic Form of Dihydrolipoamide Dehydrogenase Deficiency ( DLDD ): Phenotypic Spectrum, Laboratory Findings, and Therapeutic Approaches in 52 Patients. Journal of Inherited Metabolic Disease. 48(3). e70035–e70035.
2.
Craemer, Sam De, Jakub Idkowiak, Dries Verdegem, et al.. (2025). Glycosphingolipid synthesis is impaired in SLC35A2-CDG and improves with galactose supplementation. Cellular and Molecular Life Sciences. 82(1). 257–257. 2 indexed citations
3.
Wagenmakers, Margreet A. E. M., et al.. (2024). Quality of life in children with erythropoietic protoporphyria: a case–control study. The Journal of Dermatology. 51(8). 1068–1078. 4 indexed citations
4.
Rymen, Daisy, et al.. (2024). Glycosphingolipids in congenital disorders of glycosylation (CDG). Molecular Genetics and Metabolism. 142(1). 108434–108434. 3 indexed citations
5.
Mercier, Nathalie, et al.. (2024). Mitochondrial HMG-CoA synthase deficiency. Molecular Genetics and Metabolism. 144(1). 109007–109007. 2 indexed citations
6.
Ng, Bobby G., Antonio Rubio‐del‐Campo, Matthew P. Wilson, et al.. (2023). Beyond genetics: Deciphering the impact of missense variants in CAD deficiency. Journal of Inherited Metabolic Disease. 46(6). 1170–1185. 6 indexed citations
7.
Bruneel, Arnaud, Pieter Vermeersch, Sophie Cholet, et al.. (2023). “Hide and seek”: Misleading transferrin variants in PMM2‐CDG complicate diagnostics. PROTEOMICS - CLINICAL APPLICATIONS. 18(2). e2300040–e2300040. 3 indexed citations
8.
Bird, Matthew, Petra Windmolders, Peter de Witte, et al.. (2022). Pyruvate and uridine rescue the metabolic profile of OXPHOS dysfunction. Molecular Metabolism. 63. 101537–101537. 24 indexed citations
9.
Rapp, Christina, Lucia Laugwitz, Mieke Boon, et al.. (2021). Expanding the phenotypic spectrum of FINCA (fibrosis, neurodegeneration, and cerebral angiomatosis) syndrome beyond infancy. Clinical Genetics. 100(4). 453–461. 12 indexed citations
10.
Rymen, Daisy, David Cassiman, Anna N. Ligezka, et al.. (2021). Genotype-Phenotype Correlations in PMM2-CDG. Genes. 12(11). 1658–1658. 9 indexed citations
11.
Wilson, Matthew P., Dulce Quelhas, Elisa Leão Teles, et al.. (2021). SLC37A4‐CDG: Second patient. JIMD Reports. 58(1). 122–128. 7 indexed citations
12.
Blommaert, Eline, Romain Péanne, Н. А. Черепанова, et al.. (2019). Mutations in MAGT1 lead to a glycosylation disorder with a variable phenotype. Proceedings of the National Academy of Sciences. 116(20). 9865–9870. 61 indexed citations
13.
Rymen, Daisy, et al.. (2019). Glycogen storage disease type VI: clinical course and molecular background. European Journal of Pediatrics. 179(3). 405–413. 17 indexed citations
14.
Rymen, Daisy, Marco Ritelli, Nicoletta Zoppi, et al.. (2019). Clinical and Molecular Characterization of Classical-Like Ehlers-Danlos Syndrome Due to a Novel TNXB Variant. Genes. 10(11). 843–843. 17 indexed citations
15.
Tümer, Leyla, Fatih Süheyl Ezgü, Jaak Jaeken, et al.. (2015). A case with rare type of congenital disorder of glycosylation: PGM1-CDG.. PubMed. 26(1). 87–90. 8 indexed citations
16.
Rymen, Daisy, Peter M. van Hasselt, Jaak Jaeken, et al.. (2015). Key features and clinical variability of COG6-CDG. Molecular Genetics and Metabolism. 116(3). 163–170. 42 indexed citations
17.
Péanne, Romain, Daisy Rymen, Nathalie Jurisch‐Yaksi, et al.. (2014). MAN1B1-CDG: how stressed-out can the Golgi be?. Glycobiology. 24(11). 1105–1105. 1 indexed citations
18.
Rymen, Daisy, Romain Péanne, Valérie Race, et al.. (2013). MAN1B1 Deficiency: An Unexpected CDG-II. PLoS Genetics. 9(12). e1003989–e1003989. 60 indexed citations
19.
Rymen, Daisy, Liesbeth Keldermans, Valérie Race, et al.. (2012). COG5-CDG: expanding the clinical spectrum. Orphanet Journal of Rare Diseases. 7(1). 94–94. 33 indexed citations
20.
Matthijs, Gert, et al.. (2012). Approaches to homozygosity mapping and exome sequencing for the identification of novel types of CDG. Glycoconjugate Journal. 30(1). 67–76. 12 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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