Jarno Voortman

1.3k total citations
12 papers, 1.1k citations indexed

About

Jarno Voortman is a scholar working on Molecular Biology, Cell Biology and Infectious Diseases. According to data from OpenAlex, Jarno Voortman has authored 12 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Cell Biology and 2 papers in Infectious Diseases. Recurrent topics in Jarno Voortman's work include Glycosylation and Glycoproteins Research (4 papers), Lipid Membrane Structure and Behavior (3 papers) and Cellular transport and secretion (3 papers). Jarno Voortman is often cited by papers focused on Glycosylation and Glycoproteins Research (4 papers), Lipid Membrane Structure and Behavior (3 papers) and Cellular transport and secretion (3 papers). Jarno Voortman collaborates with scholars based in Netherlands, France and Germany. Jarno Voortman's co-authors include Paul M.P. van Bergen en Henegouwen, Hans C. Gerritsen, Arjen N. Bader, Erik Hofman, Arie J. Verkleij, Lara Fallon, Elsa Regan‐Klapisz, Edward A. Fon, Rob C. Roovers and Maria Kontogiannea and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Nature Cell Biology.

In The Last Decade

Jarno Voortman

12 papers receiving 1.1k citations

Peers

Jarno Voortman
Sarah Keegan United States
José Rino Portugal
T. TOYOKUNI United States
Pranav Sharma United States
Oleksiy Kovtun Australia
Cynthia B. Peterson United States
Gregor Cicchetti United States
Sarah Keegan United States
Jarno Voortman
Citations per year, relative to Jarno Voortman Jarno Voortman (= 1×) peers Sarah Keegan

Countries citing papers authored by Jarno Voortman

Since Specialization
Citations

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

Fields of papers citing papers by Jarno Voortman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jarno Voortman

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

All Works

12 of 12 papers shown
1.
Hagemeijer, Marne C., Iryna Monastyrska, Janice Griffith, et al.. (2014). Membrane rearrangements mediated by coronavirus nonstructural proteins 3 and 4. Virology. 458-459. 125–135. 117 indexed citations
2.
Heukers, Raimond, Jeroen F. Vermeulen, Farzad Fereidouni, et al.. (2013). EGFR endocytosis requires its kinase activity and N-terminal transmembrane dimerization motif. Journal of Cell Science. 126(Pt 21). 4900–12. 54 indexed citations
3.
Gerritsen, Hans C., et al.. (2011). Homo-FRET Imaging as a Tool to Quantify Protein and Lipid Clustering. Biophysical Journal. 100(3). 140a–140a. 2 indexed citations
4.
Elstak, Edo, Maaike Neeft, Nadine T. Nehme, et al.. (2011). The munc13-4–rab27 complex is specifically required for tethering secretory lysosomes at the plasma membrane. Blood. 118(6). 1570–1578. 99 indexed citations
5.
Hofman, Erik, Arjen N. Bader, Jarno Voortman, et al.. (2010). Ligand-induced EGF Receptor Oligomerization Is Kinase-dependent and Enhances Internalization. Journal of Biological Chemistry. 285(50). 39481–39489. 80 indexed citations
6.
Bader, Arjen N., Erik Hofman, Jarno Voortman, et al.. (2010). Homo‐FRET Imaging as a Tool to Quantify Protein and Lipid Clustering. ChemPhysChem. 12(3). 475–483. 70 indexed citations
7.
Hamelers, Irene H.L., Rutger W.H.M. Staffhorst, Jarno Voortman, et al.. (2009). High Cytotoxicity of Cisplatin Nanocapsules in Ovarian Carcinoma Cells Depends on Uptake by Caveolae-Mediated Endocytosis. Clinical Cancer Research. 15(4). 1259–1268. 42 indexed citations
8.
Bader, Arjen N., Erik Hofman, Jarno Voortman, Paul M.P. van Bergen en Henegouwen, & Hans C. Gerritsen. (2009). Homo-FRET Imaging Enables Quantification of Protein Cluster Sizes with Subcellular Resolution. Biophysical Journal. 97(9). 2613–2622. 120 indexed citations
9.
Hofman, Erik, Mika O. Ruonala, Arjen N. Bader, et al.. (2008). EGF induces coalescence of different lipid rafts. Journal of Cell Science. 121(15). 2519–2528. 122 indexed citations
10.
Fallon, Lara, Amadou T. Corera, Maria Kontogiannea, et al.. (2006). A regulated interaction with the UIM protein Eps15 implicates parkin in EGF receptor trafficking and PI(3)K–Akt signalling. Nature Cell Biology. 8(8). 834–842. 295 indexed citations
11.
Regan‐Klapisz, Elsa, Irina Sorokina, Jarno Voortman, et al.. (2005). Ubiquilin recruits Eps15 into ubiquitin-rich cytoplasmic aggregates via a UIM-UBL interaction. Journal of Cell Science. 118(19). 4437–4450. 57 indexed citations
12.
Stoorvogel, Willem, et al.. (2004). Sorting of Ligand-activated Epidermal Growth Factor Receptor to Lysosomes Requires Its Actin-binding Domain. Journal of Biological Chemistry. 279(12). 11562–11569. 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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