Daniel Prumbaum

2.2k total citations · 1 hit paper
18 papers, 1.3k citations indexed

About

Daniel Prumbaum is a scholar working on Molecular Biology, Cell Biology and Structural Biology. According to data from OpenAlex, Daniel Prumbaum has authored 18 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Cell Biology and 2 papers in Structural Biology. Recurrent topics in Daniel Prumbaum's work include Microtubule and mitosis dynamics (6 papers), Mitochondrial Function and Pathology (3 papers) and Genomics and Chromatin Dynamics (3 papers). Daniel Prumbaum is often cited by papers focused on Microtubule and mitosis dynamics (6 papers), Mitochondrial Function and Pathology (3 papers) and Genomics and Chromatin Dynamics (3 papers). Daniel Prumbaum collaborates with scholars based in Germany, Switzerland and Italy. Daniel Prumbaum's co-authors include Stefan Raunser, Christos Gatsogiannis, Felipe Merino, Daniel Roderer, Thorsten Wagner, Markus Stabrin, Oleg Sitsel, Tobias Raisch, Evelyn Schubert and Sebastian Tacke and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

Daniel Prumbaum

18 papers receiving 1.3k citations

Hit Papers

SPHIRE-crYOLO is a fast and accurate fully automated part... 2019 2026 2021 2023 2019 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Prumbaum Germany 13 918 345 245 154 110 18 1.3k
Tobias Raisch Germany 16 1.2k 1.3× 215 0.6× 192 0.8× 103 0.7× 89 0.8× 22 1.5k
Cynthia Y. He Singapore 27 920 1.0× 425 1.2× 204 0.8× 86 0.6× 78 0.7× 60 2.3k
Felipe Merino Germany 23 1.4k 1.5× 440 1.3× 364 1.5× 92 0.6× 117 1.1× 32 2.2k
Hideki Shigematsu Japan 23 1.1k 1.1× 281 0.8× 103 0.4× 101 0.7× 51 0.5× 58 1.6k
Michael A. Cianfrocco United States 21 1.0k 1.1× 348 1.0× 172 0.7× 53 0.3× 85 0.8× 46 1.4k
Amédée des Georges United States 20 1.6k 1.7× 181 0.5× 159 0.6× 89 0.6× 59 0.5× 34 2.1k
Arne Moeller Germany 23 1.4k 1.5× 356 1.0× 335 1.4× 60 0.4× 156 1.4× 59 2.3k
Roberto Melero Spain 22 1.2k 1.3× 200 0.6× 340 1.4× 66 0.4× 209 1.9× 47 1.6k
Markus Stabrin Germany 8 764 0.8× 140 0.4× 320 1.3× 47 0.3× 146 1.3× 10 1.2k
Amy Reilein United States 15 832 0.9× 611 1.8× 165 0.7× 70 0.5× 94 0.9× 21 1.3k

Countries citing papers authored by Daniel Prumbaum

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Prumbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Prumbaum

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Prumbaum. A scholar is included among the top collaborators of Daniel Prumbaum 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 Daniel Prumbaum. Daniel Prumbaum 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.
Kucher, Svetlana, Daniel Roderer, Oleg Sitsel, et al.. (2025). Multistate kinetics of the syringe-like injection mechanism of Tc toxins. Science Advances. 11(1). eadr2019–eadr2019. 1 indexed citations
2.
Burn, Garth L., Tobias Raisch, Sebastian Tacke, et al.. (2025). Myeloperoxidase transforms chromatin into neutrophil extracellular traps. Nature. 647(8090). 747–756. 2 indexed citations
3.
Sitsel, Oleg, Uwe Schulte, Cristina Constantin, et al.. (2025). Molecular mechanism of ultrafast transport by plasma membrane Ca2+-ATPases. Nature. 646(8083). 236–245. 1 indexed citations
4.
Oosterheert, Wout, et al.. (2024). Molecular mechanism of actin filament elongation by formins. Science. 384(6692). eadn9560–eadn9560. 15 indexed citations
5.
Wagner, Thorsten, et al.. (2023). TomoTwin: generalized 3D localization of macromolecules in cryo-electron tomograms with structural data mining. Nature Methods. 20(6). 871–880. 44 indexed citations
6.
Pesenti, Marion E., Tobias Raisch, Kai Walstein, et al.. (2022). Structure of the human inner kinetochore CCAN complex and its significance for human centromere organization. Molecular Cell. 82(11). 2113–2131.e8. 68 indexed citations
7.
Pesenti, Marion E., Tobias Raisch, Ingrid Hoffmann, et al.. (2022). Structure of the Human Inner Kinetochore CCAN Complex and Its Significance for Human Centromere Organization. SSRN Electronic Journal. 3 indexed citations
8.
Oliva, Rosario, Sanjib Mukherjee, Verian Bader, et al.. (2021). Remodeling of the Fibrillation Pathway of α‐Synuclein by Interaction with Antimicrobial Peptide LL‐III. Chemistry - A European Journal. 27(46). 11845–11851. 20 indexed citations
9.
Wagner, Thorsten, Felipe Merino, Markus Stabrin, et al.. (2019). SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM. Communications Biology. 2(1). 218–218. 785 indexed citations breakdown →
10.
Pesenti, Marion E., Daniel Prumbaum, Charlotte M. Smith, et al.. (2018). Reconstitution of a 26-Subunit Human Kinetochore Reveals Cooperative Microtubule Binding by CENP-OPQUR and NDC80. Molecular Cell. 71(6). 923–939.e10. 61 indexed citations
11.
Schubert, Evelyn, Ingrid R. Vetter, Daniel Prumbaum, Pawel A. Penczek, & Stefan Raunser. (2018). Membrane insertion of α-xenorhabdolysin in near-atomic detail. eLife. 7. 25 indexed citations
12.
Gatsogiannis, Christos, Felipe Merino, Daniel Prumbaum, et al.. (2016). Membrane insertion of a Tc toxin in near-atomic detail. Nature Structural & Molecular Biology. 23(10). 884–890. 73 indexed citations
13.
Friese, Alexandra, Alex C. Faesen, Pim J. Huis in ’t Veld, et al.. (2016). Molecular requirements for the inter-subunit interaction and kinetochore recruitment of SKAP and Astrin. Nature Communications. 7(1). 11407–11407. 28 indexed citations
14.
Kapoor, Shobhna, Daniel Prumbaum, Sebastian Grobelny, et al.. (2014). Prebiotic Cell Membranes that Survive Extreme Environmental Pressure Conditions. Angewandte Chemie International Edition. 53(32). 8397–8401. 17 indexed citations
15.
Kapoor, Shobhna, Daniel Prumbaum, Sebastian Grobelny, et al.. (2014). Prebiotic Cell Membranes that Survive Extreme Environmental Pressure Conditions. Angewandte Chemie. 126(32). 8537–8541. 4 indexed citations
16.
Basilico, Federica, Stefano Maffini, John R. Weir, et al.. (2014). The pseudo GTPase CENP-M drives human kinetochore assembly. eLife. 3. e02978–e02978. 99 indexed citations
17.
Singh, Madhurendra, Luitgard Nagel‐Steger, Daniel Prumbaum, et al.. (2013). The Centrosomal Adaptor TACC3 and the Microtubule Polymerase chTOG Interact via Defined C-terminal Subdomains in an Aurora-A Kinase-independent Manner. Journal of Biological Chemistry. 289(1). 74–88. 35 indexed citations
18.
Singh, Madhurendra, Luitgard Nagel‐Steger, Daniel Prumbaum, et al.. (2013). Role of centrosomal adaptor proteins of the TACC family in the regulation of microtubule dynamics during mitotic cell division. Biological Chemistry. 394(11). 1411–1423. 24 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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