Jef Swerts

3.3k total citations
27 papers, 1.8k citations indexed

About

Jef Swerts is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Jef Swerts has authored 27 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 15 papers in Cellular and Molecular Neuroscience and 14 papers in Cell Biology. Recurrent topics in Jef Swerts's work include Cellular transport and secretion (13 papers), Autophagy in Disease and Therapy (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). Jef Swerts is often cited by papers focused on Cellular transport and secretion (13 papers), Autophagy in Disease and Therapy (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). Jef Swerts collaborates with scholars based in Belgium, United States and Germany. Jef Swerts's co-authors include Patrik Verstreken, Sabine Kuenen, Sven Vilain, Bart De Strooper, Katarzyna Miśkiewicz, Natalia V. Gounko, Jarosław Kasprowicz, Valerie Uytterhoeven, Philip Seibler and Christine Klein and has published in prestigious journals such as Science, Nature Communications and Neuron.

In The Last Decade

Jef Swerts

25 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jef Swerts Belgium 20 912 517 487 462 423 27 1.8k
Nobuhiro Fujikake Japan 22 1.3k 1.4× 746 1.4× 405 0.8× 352 0.8× 264 0.6× 30 1.9k
Elena Ziviani Italy 22 1.3k 1.4× 400 0.8× 300 0.6× 409 0.9× 873 2.1× 32 2.0k
Yumei Wu United States 24 1.3k 1.5× 552 1.1× 1.1k 2.2× 490 1.1× 284 0.7× 45 2.4k
Tomohiro Kabuta Japan 26 1.1k 1.2× 245 0.5× 401 0.8× 351 0.8× 713 1.7× 55 2.2k
Thomas M. Durcan Canada 23 1.5k 1.6× 379 0.7× 340 0.7× 292 0.6× 831 2.0× 99 2.3k
Dominik Paquet Germany 15 1.4k 1.5× 390 0.8× 310 0.6× 482 1.0× 239 0.6× 26 2.0k
Stéphanie Millecamps France 26 959 1.1× 508 1.0× 405 0.8× 388 0.8× 270 0.6× 49 2.4k
P. Rusmini Italy 33 1.6k 1.8× 702 1.4× 695 1.4× 360 0.8× 657 1.6× 59 2.9k
Henrik Martens Germany 19 655 0.7× 423 0.8× 339 0.7× 261 0.6× 127 0.3× 29 1.5k
Natalia Rodríguez‐Muela Spain 17 840 0.9× 253 0.5× 286 0.6× 359 0.8× 811 1.9× 23 1.8k

Countries citing papers authored by Jef Swerts

Since Specialization
Citations

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

Fields of papers citing papers by Jef Swerts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jef Swerts

This figure shows the co-authorship network connecting the top 25 collaborators of Jef Swerts. A scholar is included among the top collaborators of Jef Swerts 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 Jef Swerts. Jef Swerts 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.
2.
Kuenen, Sabine, Jef Swerts, Carles Calatayud, et al.. (2025). Soma-localized Rab39 inhibits synaptic autophagy by controlling trafficking of Atg9 vesicles. The EMBO Journal. 44(20). 5662–5693.
3.
Scott, Patrick, Sabine Kuenen, Jef Swerts, et al.. (2024). A candidate loss-of-function variant in SGIP1 causes synaptic dysfunction and recessive parkinsonism. Cell Reports Medicine. 5(10). 101749–101749. 2 indexed citations
4.
Jacquemyn, Julie, Sabine Kuenen, Jef Swerts, et al.. (2023). Parkinsonism mutations in DNAJC6 cause lipid defects and neurodegeneration that are rescued by Synj1. npj Parkinson s Disease. 9(1). 11 indexed citations
5.
Bademosi, Adekunle T., Sabine Kuenen, Carles Calatayud, et al.. (2023). EndophilinA-dependent coupling between activity-induced calcium influx and synaptic autophagy is disrupted by a Parkinson-risk mutation. Neuron. 111(9). 1402–1422.e13. 22 indexed citations
6.
Apóstolo, Nuno, Eline Creemers, Zsuzsanna Callaerts‐Vegh, et al.. (2021). Lowering Synaptogyrin-3 expression rescues Tau-induced memory defects and synaptic loss in the presence of microglial activation. Neuron. 109(5). 767–777.e5. 48 indexed citations
7.
Hernández-Díaz, Sergio, Carla Montecinos-Oliva, Jef Swerts, et al.. (2021). Endophilin-B regulates autophagy during synapse development and neurodegeneration. Neurobiology of Disease. 163. 105595–105595. 14 indexed citations
8.
Cascalho, Ana, Jef Swerts, Christine Klein, et al.. (2020). Excess Lipin enzyme activity contributes to TOR1A recessive disease and DYT-TOR1A dystonia. Brain. 143(6). 1746–1765. 16 indexed citations
9.
Lauwers, Elsa, Yuchun Wang, Rodrigo Gallardo, et al.. (2018). Hsp90 Mediates Membrane Deformation and Exosome Release. Molecular Cell. 71(5). 689–702.e9. 121 indexed citations
10.
Zhou, Lujia, Joseph McInnes, Keimpe Wierda, et al.. (2017). Tau association with synaptic vesicles causes presynaptic dysfunction. Nature Communications. 8(1). 15295–15295. 290 indexed citations
11.
Vos, Melissa, Jef Swerts, Matteo Rossi, et al.. (2017). Cardiolipin promotes electron transport between ubiquinone and complex I to rescue PINK1 deficiency. The Journal of Cell Biology. 216(3). 695–708. 56 indexed citations
12.
Slabbaert, Jan R., Sabine Kuenen, Jef Swerts, et al.. (2016). Shawn, theDrosophilaHomolog of SLC25A39/40, Is a Mitochondrial Carrier That Promotes Neuronal Survival. Journal of Neuroscience. 36(6). 1914–1929. 27 indexed citations
13.
Fischer, Baptiste, Kevin Lüthy, Jef Swerts, et al.. (2016). Skywalker-TBC1D24 has a lipid-binding pocket mutated in epilepsy and required for synaptic function. Nature Structural & Molecular Biology. 23(11). 965–973. 44 indexed citations
14.
Soukup, Sandra‐Fausia, Sabine Kuenen, Roeland Vanhauwaert, et al.. (2016). A LRRK2-Dependent EndophilinA Phosphoswitch Is Critical for Macroautophagy at Presynaptic Terminals. Neuron. 92(4). 829–844. 193 indexed citations
15.
Grillet, Micheline, Ana Cascalho, Sergio Hernández-Díaz, et al.. (2016). Torsins Are Essential Regulators of Cellular Lipid Metabolism. Developmental Cell. 38(3). 235–247. 69 indexed citations
16.
Uytterhoeven, Valerie, Elsa Lauwers, Katarzyna Miśkiewicz, et al.. (2015). Hsc70-4 Deforms Membranes to Promote Synaptic Protein Turnover by Endosomal Microautophagy. Neuron. 88(4). 735–748. 131 indexed citations
17.
Morais, Vanessa A., Dominik Haddad, Katleen Craessaerts, et al.. (2014). PINK1 Loss-of-Function Mutations Affect Mitochondrial Complex I Activity via NdufA10 Ubiquinone Uncoupling. Science. 344(6180). 203–207. 278 indexed citations
18.
Khuong, Thang M., Ron L. P. Habets, Sabine Kuenen, et al.. (2013). Synaptic PI(3,4,5)P3 Is Required for Syntaxin1A Clustering and Neurotransmitter Release. Neuron. 77(6). 1097–1108. 78 indexed citations
19.
Esposito, Giovanni, Melissa Vos, Sven Vilain, et al.. (2013). Aconitase Causes Iron Toxicity in Drosophila pink1 Mutants. PLoS Genetics. 9(4). e1003478–e1003478. 62 indexed citations
20.
Miśkiewicz, Katarzyna, André Bento‐Abreu, Jarosław Kasprowicz, et al.. (2011). ELP3 Controls Active Zone Morphology by Acetylating the ELKS Family Member Bruchpilot. Neuron. 72(5). 776–788. 84 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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