Matthias Samwer

1.5k total citations
10 papers, 642 citations indexed

About

Matthias Samwer is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Matthias Samwer has authored 10 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cell Biology and 1 paper in Genetics. Recurrent topics in Matthias Samwer's work include Nuclear Structure and Function (6 papers), Microtubule and mitosis dynamics (5 papers) and RNA Research and Splicing (4 papers). Matthias Samwer is often cited by papers focused on Nuclear Structure and Function (6 papers), Microtubule and mitosis dynamics (5 papers) and RNA Research and Splicing (4 papers). Matthias Samwer collaborates with scholars based in Austria, Germany and United States. Matthias Samwer's co-authors include Daniel W. Gerlich, Dirk Görlich, Henning Urlaub, Philipp S. Schmalhorst, Julian Jude, Samir Karaca, Christof Lenz, Koray Kırlı, Johannes Zuber and Kuan‐Ting Pan and has published in prestigious journals such as Nature, Cell and The EMBO Journal.

In The Last Decade

Matthias Samwer

10 papers receiving 635 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthias Samwer Austria	8	490	203	64	46	32	10	642
Fátima Verı́ssimo Germany	10	571 1.2×	241 1.2×	114 1.8×	31 0.7×	31 1.0×	13	793
David Chéreau United States	11	393 0.8×	465 2.3×	95 1.5×	36 0.8×	23 0.7×	14	824
Anna H. Klemm Germany	13	367 0.7×	264 1.3×	139 2.2×	23 0.5×	54 1.7×	26	618
Daniel P. Keeley United States	9	433 0.9×	149 0.7×	40 0.6×	20 0.4×	22 0.7×	10	684
Miroslav Hejna United States	10	465 0.9×	90 0.4×	33 0.5×	56 1.2×	23 0.7×	11	634
Wenyu Bu Singapore	12	382 0.8×	333 1.6×	96 1.5×	44 1.0×	7 0.2×	15	718
Naoka Tamura United Kingdom	9	434 0.9×	209 1.0×	30 0.5×	131 2.8×	51 1.6×	9	549
Taryn E. Gillies United States	7	257 0.5×	155 0.8×	47 0.7×	44 1.0×	17 0.5×	9	380
Stephanie Bechtel Germany	11	387 0.8×	131 0.6×	48 0.8×	29 0.6×	31 1.0×	17	577
Charlotte Stadler Sweden	12	398 0.8×	88 0.4×	94 1.5×	39 0.8×	11 0.3×	16	542

Countries citing papers authored by Matthias Samwer

Since Specialization

Citations

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

Fields of papers citing papers by Matthias Samwer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Samwer

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

All Works

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10 of 10 papers shown

Tedeschi, Antonio, Fiorella Schischlik, Francesca Rocchetti, et al.. (2024). Pan-KRAS Inhibitors BI-2493 and BI-2865 Display Potent Antitumor Activity in Tumors with KRAS Wild-type Allele Amplification. Molecular Cancer Therapeutics. 24(4). 550–562. 1 indexed citations

Samwer, Matthias, Geneviève Lavoie, Dirk Görlich, et al.. (2020). F-Actin Interactome Reveals Vimentin as a Key Regulator of Actin Organization and Cell Mechanics in Mitosis. Developmental Cell. 52(2). 210–222.e7. 58 indexed citations

Newman, J.A., Simone Lieb, Leonhard Geist, et al.. (2020). Structure of the helicase core of Werner helicase, a key target in microsatellite instability cancers. Life Science Alliance. 4(1). e202000795–e202000795. 18 indexed citations

Cuylen‐Haering, Sara, et al.. (2020). Chromosome clustering by Ki-67 excludes cytoplasm during nuclear assembly. Nature. 587(7833). 285–290. 66 indexed citations

Samwer, Matthias & Daniel W. Gerlich. (2018). A core problem in nuclear assembly. Nature. 561(7724). 467–468. 2 indexed citations

Sommer, Christoph, et al.. (2017). A deep learning and novelty detection framework for rapid phenotyping in high-content screening. Molecular Biology of the Cell. 28(23). 3428–3436. 70 indexed citations

Samwer, Matthias, et al.. (2017). DNA Cross-Bridging Shapes a Single Nucleus from a Set of Mitotic Chromosomes. Cell. 170(5). 956–972.e23. 155 indexed citations

Spira, Felix, Sara Cuylen‐Haering, Shalin B. Mehta, et al.. (2017). Cytokinesis in vertebrate cells initiates by contraction of an equatorial actomyosin network composed of randomly oriented filaments. eLife. 6. 42 indexed citations

Kırlı, Koray, Samir Karaca, Matthias Samwer, et al.. (2015). A deep proteomics perspective on CRM1-mediated nuclear export and nucleocytoplasmic partitioning. eLife. 4. 172 indexed citations

10.

Samwer, Matthias, Felix Spira, Martin Kollmar, et al.. (2013). The nuclear F-actin interactome of Xenopus oocytes reveals an actin-bundling kinesin that is essential for meiotic cytokinesis. The EMBO Journal. 32(13). 1886–1902. 58 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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