Daan M. van den Brink

832 total citations
17 papers, 587 citations indexed

About

Daan M. van den Brink is a scholar working on Molecular Biology, Biochemistry and Cell Biology. According to data from OpenAlex, Daan M. van den Brink has authored 17 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Biochemistry and 4 papers in Cell Biology. Recurrent topics in Daan M. van den Brink's work include Peroxisome Proliferator-Activated Receptors (6 papers), Lipid metabolism and biosynthesis (5 papers) and Skin and Cellular Biology Research (3 papers). Daan M. van den Brink is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (6 papers), Lipid metabolism and biosynthesis (5 papers) and Skin and Cellular Biology Research (3 papers). Daan M. van den Brink collaborates with scholars based in Netherlands, United Kingdom and France. Daan M. van den Brink's co-authors include Ronald J. A. Wanders, Gerbert A. Jansen, Michel Goedert, Graham Fraser, Bazbek Davletov, Kerensa Broersen, Hans R. Waterham, Jolein Gloerich, Sacha Ferdinandusse and Janet Haasjes and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Neurology.

In The Last Decade

Daan M. van den Brink

17 papers receiving 575 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daan M. van den Brink Netherlands 12 390 111 95 93 87 17 587
Vito Porcelli Italy 15 508 1.3× 99 0.9× 169 1.8× 136 1.5× 47 0.5× 27 742
Fabian Dorninger Austria 11 458 1.2× 163 1.5× 58 0.6× 102 1.1× 29 0.3× 17 632
Eleonora Paradies Italy 11 702 1.8× 176 1.6× 209 2.2× 115 1.2× 68 0.8× 18 922
Bartholomew A. Pederson United States 14 388 1.0× 236 2.1× 25 0.3× 49 0.5× 97 1.1× 23 799
Jim C. Fong Taiwan 16 531 1.4× 193 1.7× 72 0.8× 36 0.4× 62 0.7× 55 841
A. V. Alessenko Russia 13 438 1.1× 146 1.3× 16 0.2× 54 0.6× 103 1.2× 35 585
Pedro Filipe Teixeira Sweden 15 708 1.8× 247 2.2× 74 0.8× 58 0.6× 97 1.1× 30 942
Shuvadeep Maity India 12 409 1.0× 79 0.7× 27 0.3× 50 0.5× 160 1.8× 21 642
Uzma Saeed India 11 296 0.8× 86 0.8× 22 0.2× 53 0.6× 35 0.4× 14 505
Caterina Peggion Italy 15 543 1.4× 178 1.6× 34 0.4× 40 0.4× 73 0.8× 34 735

Countries citing papers authored by Daan M. van den Brink

Since Specialization
Citations

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

Fields of papers citing papers by Daan M. van den Brink

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daan M. van den Brink. 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 Daan M. van den Brink. The network helps show where Daan M. van den Brink may publish in the future.

Co-authorship network of co-authors of Daan M. van den Brink

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

All Works

17 of 17 papers shown
1.
Tian, Xin, et al.. (2025). Root Hair Development Is Suppressed by Long‐Term Mild Heat Through Down‐Regulation of RHD6 and RHD6‐like Genes. Plant Cell & Environment. 48(8). 5861–5873. 2 indexed citations
2.
Jollivet, Florence, Oskar Knittelfelder, Jean-Noël Arsac, et al.. (2021). Abnormal accumulation of lipid droplets in neurons induces the conversion of alpha-Synuclein to proteolytic resistant forms in a Drosophila model of Parkinson’s disease. PLoS Genetics. 17(11). e1009921–e1009921. 40 indexed citations
3.
Brink, Daan M. van den, Gilles Chatelain, Nathalie Davoust, et al.. (2018). Physiological and pathological roles of FATP-mediated lipid droplets in Drosophila and mice retina. PLoS Genetics. 14(9). e1007627–e1007627. 38 indexed citations
4.
Brink, Daan M. van den, et al.. (2013). Commissureless Regulation of Axon Outgrowth across the Midline Is Independent of Rab Function. PLoS ONE. 8(5). e64427–e64427. 3 indexed citations
5.
Lloyd, Matthew D., et al.. (2007). Characterisation of recombinant human fatty aldehyde dehydrogenase: Implications for Sjögren-Larsson syndrome. Journal of Enzyme Inhibition and Medicinal Chemistry. 22(5). 584–590. 12 indexed citations
6.
Horn, Morten Andreas, Daan M. van den Brink, Ronald J. A. Wanders, et al.. (2007). Phenotype of adult Refsum disease due to a defect in peroxin 7. Neurology. 68(9). 698–700. 20 indexed citations
7.
Gloerich, Jolein, Daan M. van den Brink, Jos P.N. Ruiter, et al.. (2006). Metabolism of phytol to phytanic acid in the mouse, and the role of PPARα in its regulation. Journal of Lipid Research. 48(1). 77–85. 44 indexed citations
8.
Brink, Daan M. van den & Ronald J. A. Wanders. (2006). Phytanic acid: production from phytol, its breakdown and role in human disease. Cellular and Molecular Life Sciences. 63(15). 1752–1765. 115 indexed citations
9.
Gloerich, Jolein, Jos P.N. Ruiter, Daan M. van den Brink, et al.. (2006). Peroxisomal trans‐2‐enoyl‐CoA reductase is involved in phytol degradation. FEBS Letters. 580(8). 2092–2096. 24 indexed citations
10.
Broersen, Kerensa, Daan M. van den Brink, Graham Fraser, Michel Goedert, & Bazbek Davletov. (2006). α-Synuclein Adopts an α-Helical Conformation in the Presence of Polyunsaturated Fatty Acids To Hinder Micelle Formation. Biochemistry. 45(51). 15610–15616. 77 indexed citations
11.
Brink, Daan M. van den, et al.. (2005). Characterization of the Final Step in the Conversion of Phytol into Phytanic Acid. Journal of Biological Chemistry. 280(29). 26838–26844. 22 indexed citations
12.
Brink, Daan M. van den, et al.. (2005). A novel assay for the prenatal diagnosis of Sjögren–Larsson syndrome. Journal of Inherited Metabolic Disease. 28(6). 965–969. 7 indexed citations
13.
Brink, Daan M. van den, et al.. (2004). Assay for Sjogren–Larsson Syndrome Based on a Deficiency of Phytol Degradation. Clinical Chemistry. 51(1). 240–242. 11 indexed citations
14.
Brink, Daan M. van den, Pedro Brites, Janet Haasjes, et al.. (2003). Identification of PEX7 as the Second Gene Involved in Refsum Disease. The American Journal of Human Genetics. 72(2). 471–477. 112 indexed citations
15.
Wanders, Ronald J. A., Carlo W.T. van Roermund, Wouter F. Visser, et al.. (2003). Peroxisomal Fatty Acid Alpha-and Beta-Oxidation in Health and Disease: New insights. Advances in experimental medicine and biology. 544. 293–302. 18 indexed citations
16.
Brink, Daan M. van den, Pedro Brites, Janet Haasjes, et al.. (2003). Identification of PEX7 as the Second Gene Involved in Refsum Disease. Advances in experimental medicine and biology. 544. 69–70. 9 indexed citations
17.
Jansen, Gerbert A., et al.. (2001). Identification of Pristanal Dehydrogenase Activity in Peroxisomes: Conclusive Evidence That the Complete Phytanic Acid α-Oxidation Pathway Is Localized in Peroxisomes. Biochemical and Biophysical Research Communications. 283(3). 674–679. 33 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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