Sebastian Munck

7.6k total citations · 1 hit paper
66 papers, 3.0k citations indexed

About

Sebastian Munck is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biophysics. According to data from OpenAlex, Sebastian Munck has authored 66 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 15 papers in Cellular and Molecular Neuroscience and 11 papers in Biophysics. Recurrent topics in Sebastian Munck's work include Advanced Fluorescence Microscopy Techniques (10 papers), Cell Image Analysis Techniques (8 papers) and Alzheimer's disease research and treatments (7 papers). Sebastian Munck is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (10 papers), Cell Image Analysis Techniques (8 papers) and Alzheimer's disease research and treatments (7 papers). Sebastian Munck collaborates with scholars based in Belgium, United States and Spain. Sebastian Munck's co-authors include Bart De Strooper, Nikky Corthout, Wim Annaert, Veerle W. Daniëls, Frank Vanderhoydonc, Johannes V. Swinnen, Carlos G. Dotti, Karine Smans, Evelien Rysman and Rita Derua and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Sebastian Munck

65 papers receiving 3.0k citations

Hit Papers

De novo Lipogenesis Protects Cancer Cells from Free Radic... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers

Sebastian Munck
Xu Hou China
Jörg Geiger Germany
Damian C. Crowther United Kingdom
Hsueh‐Cheng Chiang United States
Blaise Bossy United States
Zixu Mao United States
Catherine Pan United States
Sebastian Munck
Citations per year, relative to Sebastian Munck Sebastian Munck (= 1×) peers Caoimhín G. Concannon

Countries citing papers authored by Sebastian Munck

Since Specialization
Citations

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

Fields of papers citing papers by Sebastian Munck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sebastian Munck

This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Munck. A scholar is included among the top collaborators of Sebastian Munck 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 Sebastian Munck. Sebastian Munck 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.
Munck, Sebastian, et al.. (2024). Innovating in a bioimaging core through instrument development. Journal of Microscopy. 294(3). 319–337. 1 indexed citations
2.
Renaud, Olivier, Nathalie Aulner, Audrey Salles, et al.. (2024). Staying on track – Keeping things running in a high‐end scientific imaging core facility. Journal of Microscopy. 294(3). 276–294. 2 indexed citations
3.
Vanrusselt, Hannah, Dieudonné Buh Kum, Valério Taverniti, et al.. (2023). Novel non-HAP class A HBV capsid assembly modulators have distinct in vitro and in vivo profiles. Journal of Virology. 97(10). e0072223–e0072223. 4 indexed citations
4.
Preman, Pranav, Julia TCW, Sara Calafate, et al.. (2021). Human iPSC-derived astrocytes transplanted into the mouse brain undergo morphological changes in response to amyloid-β plaques. Molecular Neurodegeneration. 16(1). 44 indexed citations
5.
Rossaert, Elisabeth, Sandra Duqué, Laura Rué, et al.. (2021). AAV9-mediated gene delivery of MCT1 to oligodendrocytes does not provide a therapeutic benefit in a mouse model of ALS. Molecular Therapy — Methods & Clinical Development. 20. 508–519. 16 indexed citations
6.
Baatsen, Pieter, Katlijn Vints, Christopher Cawthorne, et al.. (2021). A workflow for streamlined acquisition and correlation of serial regions of interest in array tomography. BMC Biology. 19(1). 152–152. 7 indexed citations
7.
Mulier, Marie, Nele Van Ranst, Nikky Corthout, et al.. (2020). Upregulation of TRPM3 in nociceptors innervating inflamed tissue. eLife. 9. 30 indexed citations
8.
Kerstens, Axelle, et al.. (2019). A Label-free Multicolor Optical Surface Tomography (ALMOST) imaging method for nontransparent 3D samples. BMC Biology. 17(1). 1–1. 23 indexed citations
9.
Zamparo, Ilaria, Elisa Costanzi, Axelle Kerstens, et al.. (2019). Axonal Odorant Receptors Mediate Axon Targeting. Cell Reports. 29(13). 4334–4348.e7. 21 indexed citations
10.
Espuny-Camacho, Ira, Amaia M. Arranz, Mark Fiers, et al.. (2017). Hallmarks of Alzheimer’s Disease in Stem-Cell-Derived Human Neurons Transplanted into Mouse Brain. Neuron. 93(5). 1066–1081.e8. 168 indexed citations
11.
Manshian, Bella B., Sebastian Munck, Patrizia Agostinis, Uwe Himmelreich, & Stefaan J. Soenen. (2015). High content analysis at single cell level identifies different cellular responses dependent on nanomaterial concentrations. Scientific Reports. 5(1). 13890–13890. 28 indexed citations
12.
Helsen, Christine, Arnaud Marchand, Patrick Chaltin, et al.. (2012). Identification and Characterization of MEL-3, a Novel AR Antagonist That Suppresses Prostate Cancer Cell Growth. Molecular Cancer Therapeutics. 11(6). 1257–1268. 13 indexed citations
13.
Kalev, Peter, Michal Šimíček, Iria Vázquez, et al.. (2012). Loss of PPP2R2A Inhibits Homologous Recombination DNA Repair and Predicts Tumor Sensitivity to PARP Inhibition. Cancer Research. 72(24). 6414–6424. 103 indexed citations
14.
Naval-Sánchez, Marina, Delphine Potier, Sebastian Munck, et al.. (2012). Comparative motif discovery combined with comparative transcriptomics yields accurate targetome and enhancer predictions. Genome Research. 23(1). 74–88. 25 indexed citations
15.
Pasciuto, Emanuela, Valentina Mercaldo, Pietro Pilo Boyl, et al.. (2012). KIF1Bβ transports dendritically localized mRNPs in neurons and is recruited to synapses in an activity-dependent manner. Cellular and Molecular Life Sciences. 70(2). 335–356. 27 indexed citations
16.
Thathiah, Amantha, Katrien Horré, An Snellinx, et al.. (2012). β-arrestin 2 regulates Aβ generation and γ-secretase activity in Alzheimer's disease. Nature Medicine. 19(1). 43–49. 148 indexed citations
17.
Pollarolo, G., Joachim Schulz, Sebastian Munck, & Carlos G. Dotti. (2011). Cytokinesis remnants define first neuronal asymmetry in vivo. Nature Neuroscience. 14(12). 1525–1533. 64 indexed citations
18.
Rysman, Evelien, Koen Brusselmans, Katryn Scheys, et al.. (2010). De novo Lipogenesis Protects Cancer Cells from Free Radicals and Chemotherapeutics by Promoting Membrane Lipid Saturation. Cancer Research. 70(20). 8117–8126. 572 indexed citations breakdown →
19.
Gérard, Melanie, Veronique Daniëls, Sebastian Munck, et al.. (2010). Inhibition of FK506 Binding Proteins Reduces α-Synuclein Aggregation and Parkinson's Disease-Like Pathology. Journal of Neuroscience. 30(7). 2454–2463. 80 indexed citations
20.
Munck, Sebastian, R. Uhl, & Hartmann Harz. (2002). A ratiometric imaging method for mapping ion flux densities. Cell Calcium. 31(1). 27–35. 6 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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