Josse van Galen

911 total citations
17 papers, 660 citations indexed

About

Josse van Galen is a scholar working on Molecular Biology, Cell Biology and Hematology. According to data from OpenAlex, Josse van Galen has authored 17 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Cell Biology and 5 papers in Hematology. Recurrent topics in Josse van Galen's work include Cellular transport and secretion (8 papers), Lipid Membrane Structure and Behavior (6 papers) and Sphingolipid Metabolism and Signaling (3 papers). Josse van Galen is often cited by papers focused on Cellular transport and secretion (8 papers), Lipid Membrane Structure and Behavior (6 papers) and Sphingolipid Metabolism and Signaling (3 papers). Josse van Galen collaborates with scholars based in Spain, Netherlands and Italy. Josse van Galen's co-authors include Vivek Malhotra, J. Bernd Helms, Joseph J. Batenburg, Yuichi Wakana, Felix Campelo, Margherita Scarpa, Roman Polishchuk, Matthias Mann, Felix Meissner and Julien Villeneuve and has published in prestigious journals such as The Journal of Cell Biology, The EMBO Journal and Blood.

In The Last Decade

Josse van Galen

17 papers receiving 657 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Josse van Galen Spain 12 465 330 66 54 50 17 660
Marnix Wieffer Germany 7 303 0.7× 261 0.8× 68 1.0× 118 2.2× 89 1.8× 9 573
Caroline Mas France 15 632 1.4× 274 0.8× 91 1.4× 58 1.1× 123 2.5× 35 905
Masami Nagahama Japan 19 620 1.3× 183 0.6× 42 0.6× 109 2.0× 69 1.4× 42 956
Claire Nourry France 7 617 1.3× 385 1.2× 33 0.5× 133 2.5× 38 0.8× 8 856
Jette Lengefeld Switzerland 12 447 1.0× 169 0.5× 104 1.6× 56 1.0× 40 0.8× 13 741
Florian A. Horenkamp Germany 10 448 1.0× 283 0.9× 124 1.9× 107 2.0× 193 3.9× 13 815
Janice A. Williams United States 14 378 0.8× 256 0.8× 43 0.7× 68 1.3× 32 0.6× 18 833
M. Veelders Germany 6 288 0.6× 201 0.6× 31 0.5× 38 0.7× 38 0.8× 7 500
Jonathan Boulais Canada 15 431 0.9× 204 0.6× 112 1.7× 241 4.5× 101 2.0× 30 831
Kelly T. Hughes United States 9 684 1.5× 193 0.6× 43 0.7× 102 1.9× 16 0.3× 15 894

Countries citing papers authored by Josse van Galen

Since Specialization
Citations

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

Fields of papers citing papers by Josse van Galen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Josse van Galen. 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 Josse van Galen. The network helps show where Josse van Galen may publish in the future.

Co-authorship network of co-authors of Josse van Galen

This figure shows the co-authorship network connecting the top 25 collaborators of Josse van Galen. A scholar is included among the top collaborators of Josse van Galen 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 Josse van Galen. Josse van Galen 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.
Ebberink, Eduard H.T.M., Josse van Galen, Mariëtte Boon‐Spijker, et al.. (2020). Factor VIII–driven changes in activated factor IX explored by hydrogen-deuterium exchange mass spectrometry. Blood. 136(23). 2703–2714. 8 indexed citations
2.
Boon‐Spijker, Mariëtte, Josse van Galen, Carmen van der Zwaan, et al.. (2019). Unique surface‐exposed hydrophobic residues in the C1 domain of factor VIII contribute to cofactor function and von Willebrand factor binding. Journal of Thrombosis and Haemostasis. 18(2). 364–372. 6 indexed citations
3.
Galen, Josse van, Eduard H.T.M. Ebberink, Arie J. Hoogendijk, et al.. (2019). D’ domain region Arg782-Cys799 of von Willebrand factor contributes to factor VIII binding. Haematologica. 105(6). 1695–1703. 6 indexed citations
4.
Galen, Josse van, et al.. (2019). Hydrogen‐deuterium exchange mass spectrometry highlights conformational changes induced by factor XI activation and binding of factor IX to factor XIa. Journal of Thrombosis and Haemostasis. 17(12). 2047–2055. 14 indexed citations
5.
Sticco, Lucia, Riccardo Rizzo, Marinella Pirozzi, et al.. (2017). Sphingolipid metabolic flow controls phosphoinositide turnover at the trans ‐Golgi network. The EMBO Journal. 36(12). 1736–1754. 65 indexed citations
6.
Campelo, Felix, Josse van Galen, Gabriele Turacchio, et al.. (2017). Sphingomyelin metabolism controls the shape and function of the Golgi cisternae. eLife. 6. 30 indexed citations
7.
Villeneuve, Julien, Juan M. Durán, Margherita Scarpa, et al.. (2016). Golgi enzymes do not cycle through the endoplasmic reticulum during protein secretion or mitosis. Molecular Biology of the Cell. 28(1). 141–151. 9 indexed citations
8.
Abbas, Sakina, Matthew A. Sanders, Annelieke Zeilemaker, et al.. (2014). Integrated genome-wide genotyping and gene expression profiling reveals BCL11B as a putative oncogene in acute myeloid leukemia with 14q32 aberrations. Haematologica. 99(5). 848–857. 25 indexed citations
9.
Galen, Josse van, Felix Campelo, Emma Martínez‐Alonso, et al.. (2014). Sphingomyelin homeostasis is required to form functional enzymatic domains at the trans-Golgi network. The Journal of Cell Biology. 206(5). 609–618. 39 indexed citations
10.
Galen, Josse van, et al.. (2013). Enrichment of Golgi membranes from HeLa cells by sucrose gradient ultracentrifugation. BIO-PROTOCOL. 3(18). 3 indexed citations
11.
Wakana, Yuichi, Julien Villeneuve, Josse van Galen, et al.. (2013). Kinesin-5/Eg5 is important for transport of CARTS from the trans-Golgi network to the cell surface. The Journal of Cell Biology. 202(2). 241–250. 51 indexed citations
12.
Galen, Josse van, Arie Schouten, Ramón Serrano, et al.. (2012). Interaction of GAPR-1 with lipid bilayers is regulated by alternative homodimerization. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1818(9). 2175–2183. 29 indexed citations
13.
Wakana, Yuichi, Josse van Galen, Felix Meissner, et al.. (2012). A new class of carriers that transport selective cargo from the trans Golgi network to the cell surface. The EMBO Journal. 31(20). 3976–3990. 74 indexed citations
14.
Durán, Juan M., Felix Campelo, Josse van Galen, et al.. (2012). Sphingomyelin organization is required for vesicle biogenesis at the Golgi complex. The EMBO Journal. 31(24). 4535–4546. 68 indexed citations
15.
Blume, Julia von, Anne-Marie Alleaume, Gerard Cantero-Recasens, et al.. (2011). ADF/Cofilin Regulates Secretory Cargo Sorting at the TGN via the Ca2+ ATPase SPCA1. Developmental Cell. 20(5). 652–662. 78 indexed citations
16.
Galen, Josse van, et al.. (2010). Binding of GAPR-1 to negatively charged phospholipid membranes: Unusual binding characteristics to phosphatidylinositol. Molecular Membrane Biology. 27(2-3). 81–91. 28 indexed citations
17.
Galen, Josse van, et al.. (2009). Lipids in host–pathogen interactions: Pathogens exploit the complexity of the host cell lipidome. Progress in Lipid Research. 49(1). 1–26. 127 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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