Moritz Kueblbeck

2.5k total citations · 1 hit paper
18 papers, 1.5k citations indexed

About

Moritz Kueblbeck is a scholar working on Molecular Biology, Biophysics and Structural Biology. According to data from OpenAlex, Moritz Kueblbeck has authored 18 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Biophysics and 2 papers in Structural Biology. Recurrent topics in Moritz Kueblbeck's work include Nuclear Structure and Function (6 papers), RNA Research and Splicing (5 papers) and Advanced Fluorescence Microscopy Techniques (5 papers). Moritz Kueblbeck is often cited by papers focused on Nuclear Structure and Function (6 papers), RNA Research and Splicing (5 papers) and Advanced Fluorescence Microscopy Techniques (5 papers). Moritz Kueblbeck collaborates with scholars based in Germany, United Kingdom and United States. Moritz Kueblbeck's co-authors include Jan Ellenberg, Birgit Koch, Nike Walther, M. Julius Hossain, Bianca Nijmeijer, Jan‐Michael Peters, Gordana Wutz, David A. Cisneros, Wen Tang and Csilla Várnai and has published in prestigious journals such as Nature, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Moritz Kueblbeck

17 papers receiving 1.5k citations

Hit Papers

Topologically associating domains and chromatin loops dep... 2017 2026 2020 2023 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Moritz Kueblbeck Germany 14 1.2k 382 252 173 164 18 1.5k
Volker C. Cordes Germany 21 1.9k 1.6× 301 0.8× 45 0.2× 176 1.0× 315 1.9× 26 2.2k
Anand Ranjan United States 16 1.3k 1.1× 125 0.3× 229 0.9× 39 0.2× 49 0.3× 23 1.4k
Bei Liu China 7 628 0.5× 273 0.7× 48 0.2× 164 0.9× 70 0.4× 18 941
Zeno Lavagnino Italy 14 635 0.5× 562 1.5× 32 0.1× 141 0.8× 118 0.7× 22 1.2k
Hilmar Strickfaden Canada 19 1.1k 0.9× 111 0.3× 137 0.5× 59 0.3× 59 0.4× 34 1.3k
Tatsuya Morisaki United States 17 1.6k 1.3× 275 0.7× 68 0.3× 31 0.2× 121 0.7× 32 1.7k
Sachiko Tamura Japan 19 1.5k 1.2× 129 0.3× 269 1.1× 62 0.4× 114 0.7× 27 1.6k
Andreas Maiser Germany 19 1.2k 1.0× 109 0.3× 106 0.4× 49 0.3× 99 0.6× 24 1.5k
Corella S. Casas-Delucchi Germany 16 938 0.8× 100 0.3× 111 0.4× 26 0.2× 73 0.4× 23 1.1k

Countries citing papers authored by Moritz Kueblbeck

Since Specialization
Citations

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

Fields of papers citing papers by Moritz Kueblbeck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moritz Kueblbeck

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

All Works

18 of 18 papers shown
1.
Lindenhofer, Dominik, Julia Bauman, John A. Hawkins, et al.. (2025). Functional phenotyping of genomic variants using joint multiomic single-cell DNA–RNA sequencing. Nature Methods. 22(10). 2032–2041.
3.
Otsuka, Shotaro, Wanlu Zhang, Antonio Z. Politi, et al.. (2023). A quantitative map of nuclear pore assembly reveals two distinct mechanisms. Nature. 613(7944). 575–581. 41 indexed citations
4.
Rodríguez‐Martínez, Marta, Kai Fenzl, Daniel Schraivogel, et al.. (2023). Mislocalization of pathogenic RBM20 variants in dilated cardiomyopathy is caused by loss-of-interaction with Transportin-3. Nature Communications. 14(1). 4312–4312. 18 indexed citations
5.
Sabinina, Vilma Jiménez, M. Julius Hossain, Jean-Karim Hèriché, et al.. (2021). Three-dimensional superresolution fluorescence microscopy maps the variable molecular architecture of the nuclear pore complex. Molecular Biology of the Cell. 32(17). 1523–1533. 30 indexed citations
6.
Farrants, Helen, Mirosław Tarnawski, Thorsten G. Müller, et al.. (2020). Chemogenetic Control of Nanobodies. Nature Methods. 17(3). 279–282. 65 indexed citations
7.
Thevathasan, Jervis Vermal, Maurice Kahnwald, Konstanty Cieśliński, et al.. (2019). Nuclear pores as versatile reference standards for quantitative superresolution microscopy. Nature Methods. 16(10). 1045–1053. 231 indexed citations
8.
Schlichthaerle, Thomas, Maximilian T. Strauss, Florian Schueder, et al.. (2019). Direct Visualization of Single Nuclear Pore Complex Proteins Using Genetically‐Encoded Probes for DNA‐PAINT. Angewandte Chemie International Edition. 58(37). 13004–13008. 75 indexed citations
9.
Schlichthaerle, Thomas, Maximilian T. Strauss, Florian Schueder, et al.. (2019). Direct Visualization of Single Nuclear Pore Complex Proteins Using Genetically‐Encoded Probes for DNA‐PAINT. Angewandte Chemie. 131(37). 13138–13142. 14 indexed citations
10.
Frei, Michelle S., Philipp Hoess, Marko Lampe, et al.. (2019). Photoactivation of silicon rhodamines via a light-induced protonation. Nature Communications. 10(1). 4580–4580. 64 indexed citations
11.
Thevathasan, Jervis Vermal, Ulf Matti, Maurice Kahnwald, et al.. (2019). Nuclear Pores as Universal Reference Standards for Quantitative Microscopy. Biophysical Journal. 116(3). 137a–137a. 3 indexed citations
12.
Koch, Birgit, Bianca Nijmeijer, Moritz Kueblbeck, et al.. (2018). Generation and validation of homozygous fluorescent knock-in cells using CRISPR–Cas9 genome editing. Nature Protocols. 13(6). 1465–1487. 87 indexed citations
13.
Walther, Nike, M. Julius Hossain, Antonio Z. Politi, et al.. (2018). A quantitative map of human Condensins provides new insights into mitotic chromosome architecture. The Journal of Cell Biology. 217(7). 2309–2328. 130 indexed citations
14.
Cai, Yin, M. Julius Hossain, Jean-Karim Hèriché, et al.. (2018). Experimental and computational framework for a dynamic protein atlas of human cell division. Nature. 561(7723). 411–415. 75 indexed citations
15.
Popovic, Doris, et al.. (2018). Multivariate Control of Transcript to Protein Variability in Single Mammalian Cells. Cell Systems. 7(4). 398–411.e6. 20 indexed citations
16.
Wutz, Gordana, Csilla Várnai, Kota Nagasaka, et al.. (2017). Topologically associating domains and chromatin loops depend on cohesin and are regulated by CTCF, WAPL, and PDS5 proteins. The EMBO Journal. 36(24). 3573–3599. 545 indexed citations breakdown →
17.
Otsuka, Shotaro, Anna M. Steyer, Martin Schorb, et al.. (2017). Postmitotic nuclear pore assembly proceeds by radial dilation of small membrane openings. Nature Structural & Molecular Biology. 25(1). 21–28. 67 indexed citations
18.
Ward, Aoife, Aleksandra Balwierz, Jitao David Zhang, et al.. (2012). Abstract A14: Re-expression of microRNA-375 reverses both tamoxifen resistance and accompanying EMT-like properties in breast cancer. Clinical Cancer Research. 18(10_Supplement). A14–A14. 2 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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