Marc van Oostrum

1.1k total citations
11 papers, 477 citations indexed

About

Marc van Oostrum is a scholar working on Molecular Biology, Cell Biology and Spectroscopy. According to data from OpenAlex, Marc van Oostrum has authored 11 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cell Biology and 4 papers in Spectroscopy. Recurrent topics in Marc van Oostrum's work include Advanced Proteomics Techniques and Applications (4 papers), Cellular transport and secretion (4 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Marc van Oostrum is often cited by papers focused on Advanced Proteomics Techniques and Applications (4 papers), Cellular transport and secretion (4 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Marc van Oostrum collaborates with scholars based in Switzerland, Germany and United States. Marc van Oostrum's co-authors include Bernd Wollscheid, Maik Müller, Olga T. Schubert, Damaris Bausch‐Fluck, S. Müller, Ulrich Goldmann, Susanne tom Dieck, Georgi Tushev, Stefano L. Giandomenico and Erin M. Schuman and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Marc van Oostrum

11 papers receiving 471 citations

Peers

Marc van Oostrum
Manveen K. Sethi United States
Nur Yucer United States
Abdiwahab A. Musse Canada
Jakobus van Unen Netherlands
Marylens Hernandez United States
Sohyon Lee Switzerland
Matti Myllykoski Finland
Min‐Seok Kwon South Korea
Jeffery D. Haines United States
Larisa Yurlova Germany
Manveen K. Sethi United States
Marc van Oostrum
Citations per year, relative to Marc van Oostrum Marc van Oostrum (= 1×) peers Manveen K. Sethi

Countries citing papers authored by Marc van Oostrum

Since Specialization
Citations

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

Fields of papers citing papers by Marc van Oostrum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc van Oostrum

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

All Works

11 of 11 papers shown
1.
Oostrum, Marc van, Danish Memon, Fabian Frommelt, et al.. (2025). A tissue-specific atlas of protein–protein associations enables prioritization of candidate disease genes. Nature Biotechnology. 4 indexed citations
2.
Oostrum, Marc van, et al.. (2024). Understanding the molecular diversity of synapses. Nature reviews. Neuroscience. 26(2). 65–81. 7 indexed citations
3.
Oostrum, Marc van, Stefano L. Giandomenico, Susanne tom Dieck, et al.. (2023). The proteomic landscape of synaptic diversity across brain regions and cell types. Cell. 186(24). 5411–5427.e23. 52 indexed citations
4.
Oostrum, Marc van, Maik Müller, Susanne tom Dieck, et al.. (2020). Surfaceome dynamics reveal proteostasis-independent reorganization of neuronal surface proteins during development and synaptic plasticity. Nature Communications. 11(1). 4990–4990. 32 indexed citations
5.
Mattei, Daniele, Andranik Ivanov, Marc van Oostrum, et al.. (2020). Enzymatic Dissociation Induces Transcriptional and Proteotype Bias in Brain Cell Populations. International Journal of Molecular Sciences. 21(21). 7944–7944. 73 indexed citations
6.
Kurth, Felix, Yee Kit Tai, Marc van Oostrum, et al.. (2020). Cell‐Derived Vesicles as TRPC1 Channel Delivery Systems for the Recovery of Cellular Respiratory and Proliferative Capacities. Advanced Biosystems. 4(11). e2000146–e2000146. 15 indexed citations
7.
Soste, Martin, Konstantina Charmpi, Fabienne Lampert, et al.. (2019). Proteomics-Based Monitoring of Pathway Activity Reveals that Blocking Diacylglycerol Biosynthesis Rescues from Alpha-Synuclein Toxicity. Cell Systems. 9(3). 309–320.e8. 15 indexed citations
8.
Oostrum, Marc van, Maik Müller, Roland Bruderer, et al.. (2019). Classification of mouse B cell types using surfaceome proteotype maps. Nature Communications. 10(1). 5734–5734. 27 indexed citations
9.
Eyer, Klaus, Christian Lüchtenborg, Timo Sachsenheimer, et al.. (2019). In vitroquantification of botulinum neurotoxin type A1 using immobilized nerve cell-mimicking nanoreactors in a microfluidic platform. The Analyst. 144(19). 5755–5765. 3 indexed citations
10.
Bausch‐Fluck, Damaris, Ulrich Goldmann, S. Müller, et al.. (2018). The in silico human surfaceome. Proceedings of the National Academy of Sciences. 115(46). E10988–E10997. 224 indexed citations
11.
Stamou, Marianna, Ana Cristina Grodzki, Marc van Oostrum, Bernd Wollscheid, & Pamela J. Lein. (2018). Fc gamma receptors are expressed in the developing rat brain and activate downstream signaling molecules upon cross-linking with immune complex. Journal of Neuroinflammation. 15(1). 7–7. 25 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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