Massimo Kube

706 total citations · 1 hit paper
10 papers, 499 citations indexed

About

Massimo Kube is a scholar working on Molecular Biology, Structural Biology and Condensed Matter Physics. According to data from OpenAlex, Massimo Kube has authored 10 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Structural Biology and 2 papers in Condensed Matter Physics. Recurrent topics in Massimo Kube's work include RNA Interference and Gene Delivery (4 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Micro and Nano Robotics (2 papers). Massimo Kube is often cited by papers focused on RNA Interference and Gene Delivery (4 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Micro and Nano Robotics (2 papers). Massimo Kube collaborates with scholars based in Germany, United Kingdom and Switzerland. Massimo Kube's co-authors include Hendrik Dietz, Thomas Gerling, Benjamin Kick, Maximilian N. Honemann, Friedrich C. Simmel, Enzo Kopperger, Martin Langecker, Eva Bertosin, Ramin Golestanian and Pierre Stömmer and has published in prestigious journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Massimo Kube

10 papers receiving 493 citations

Hit Papers

A DNA origami rotary ratchet motor 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Massimo Kube Germany 8 407 150 96 40 34 10 499
Alena Khmelinskaia Germany 11 404 1.0× 157 1.0× 51 0.5× 28 0.7× 33 1.0× 19 508
Christian Wachauf Germany 6 440 1.1× 141 0.9× 122 1.3× 38 0.9× 33 1.0× 6 535
Dominik J. Kauert Germany 10 670 1.6× 258 1.7× 97 1.0× 57 1.4× 27 0.8× 15 775
Tosan Omabegho United States 3 476 1.2× 159 1.1× 71 0.7× 23 0.6× 16 0.5× 4 557
Philipp Wortmann Germany 5 820 2.0× 262 1.7× 164 1.7× 68 1.7× 41 1.2× 8 883
Dustin B. McIntosh United States 12 340 0.8× 202 1.3× 77 0.8× 62 1.6× 18 0.5× 15 601
Bas J. H. M. Rosier Netherlands 11 440 1.1× 178 1.2× 34 0.4× 48 1.2× 65 1.9× 20 559
Pauline van Nies Netherlands 9 394 1.0× 226 1.5× 50 0.5× 30 0.8× 30 0.9× 9 589
Swarup Dey United States 3 495 1.2× 226 1.5× 76 0.8× 52 1.3× 38 1.1× 3 581
Pierre Stömmer Germany 7 375 0.9× 233 1.6× 66 0.7× 20 0.5× 19 0.6× 7 477

Countries citing papers authored by Massimo Kube

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Kube

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Kube

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

All Works

10 of 10 papers shown
1.
Kriebisch, Brigitte A. K., Massimo Kube, Alexander M. Bergmann, et al.. (2024). Synthetic flagella spin and contract at the expense of chemical fuel. Chem. 11(1). 102293–102293. 1 indexed citations
2.
Guerrero-Ferreira, Ricardo, Stephanie M. Ribet, Georgios Varnavides, et al.. (2024). Low-dose cryo-electron ptychography of proteins at sub-nanometer resolution. Nature Communications. 15(1). 8062–8062. 19 indexed citations
3.
Fabritz, Sebastian, et al.. (2024). An Efficient Method for the Production of High-Purity Bioinspired Large Unilamellar Vesicles. ACS Synthetic Biology. 13(3). 781–791. 4 indexed citations
4.
Rühmann, Broder, Massimo Kube, Hendrik Dietz, et al.. (2023). Biocorona on Iron Oxide Nanoparticles in a Complex Biotechnological Environment: Analysis of Proteins, Lipids, and Carbohydrates. SHILAP Revista de lepidopterología. 3(9). 2300064–2300064. 10 indexed citations
5.
Kopperger, Enzo, Massimo Kube, Maximilian N. Honemann, et al.. (2022). A DNA origami rotary ratchet motor. Nature. 607(7919). 492–498. 142 indexed citations breakdown →
6.
Stömmer, Pierre, Enzo Kopperger, Maximilian N. Honemann, et al.. (2021). A synthetic tubular molecular transport system. Nature Communications. 12(1). 23 indexed citations
7.
Kube, Massimo, Fabian Köhler, Elena M. Willner, et al.. (2020). Revealing the structures of megadalton-scale DNA complexes with nucleotide resolution. Nature Communications. 11(1). 6229–6229. 42 indexed citations
8.
Sigmund, Felix, Massimo Kube, Martina Schifferer, et al.. (2019). Iron-Sequestering Nanocompartments as Multiplexed Electron Microscopy Gene Reporters. ACS Nano. 13(7). 8114–8123. 30 indexed citations
9.
Kube, Massimo, et al.. (2019). Magnetic Recovery of Cellulase from Cellulose Substrates with Bare Iron Oxide Nanoparticles. ChemNanoMat. 5(4). 422–426. 13 indexed citations
10.
Gerling, Thomas, Massimo Kube, Benjamin Kick, & Hendrik Dietz. (2018). Sequence-programmable covalent bonding of designed DNA assemblies. Science Advances. 4(8). eaau1157–eaau1157. 215 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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