Benoît Zuber

4.2k total citations · 1 hit paper
73 papers, 2.9k citations indexed

About

Benoît Zuber is a scholar working on Molecular Biology, Structural Biology and Cell Biology. According to data from OpenAlex, Benoît Zuber has authored 73 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 14 papers in Structural Biology and 14 papers in Cell Biology. Recurrent topics in Benoît Zuber's work include Advanced Electron Microscopy Techniques and Applications (14 papers), Lipid Membrane Structure and Behavior (9 papers) and Mitochondrial Function and Pathology (8 papers). Benoît Zuber is often cited by papers focused on Advanced Electron Microscopy Techniques and Applications (14 papers), Lipid Membrane Structure and Behavior (9 papers) and Mitochondrial Function and Pathology (8 papers). Benoît Zuber collaborates with scholars based in Switzerland, Germany and United Kingdom. Benoît Zuber's co-authors include Jacques Dubochet, Ioan Iacovache, Mohamed Chami, Christine Houssin, Mamadou Daffé, Gareth Griffiths, Vladan Lučić, Mikhail Eltsov, Marek Cyrklaff and Wolfgang Baumeister and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Benoît Zuber

67 papers receiving 2.9k citations

Hit Papers

Direct Visualization of the Outer Membrane of Mycobacteri... 2008 2026 2014 2020 2008 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benoît Zuber Switzerland 29 1.7k 679 411 403 403 73 2.9k
Joseph A. Mindell United States 25 2.5k 1.5× 480 0.7× 249 0.6× 531 1.3× 466 1.2× 54 4.1k
Isabelle Rouiller Canada 27 2.5k 1.5× 896 1.3× 144 0.4× 357 0.9× 481 1.2× 56 3.8k
Helge Ewers Germany 33 2.3k 1.4× 790 1.2× 504 1.2× 525 1.3× 205 0.5× 75 4.2k
Marek Cyrklaff Germany 32 1.7k 1.0× 405 0.6× 329 0.8× 189 0.5× 363 0.9× 67 3.2k
Jason Pierson United States 17 1.2k 0.7× 383 0.6× 397 1.0× 187 0.5× 623 1.5× 18 2.5k
Christos Gatsogiannis Germany 27 1.6k 1.0× 426 0.6× 341 0.8× 162 0.4× 121 0.3× 50 2.7k
Xueming Li China 38 4.2k 2.5× 711 1.0× 1.3k 3.2× 381 0.9× 230 0.6× 100 7.0k
Cindi L. Schwartz United States 26 1.6k 0.9× 762 1.1× 524 1.3× 74 0.2× 184 0.5× 45 2.5k
Arne Moeller Germany 23 1.4k 0.8× 356 0.5× 335 0.8× 153 0.4× 269 0.7× 59 2.3k
Andreas Hoenger United States 40 3.2k 1.9× 2.4k 3.5× 670 1.6× 241 0.6× 232 0.6× 99 4.9k

Countries citing papers authored by Benoît Zuber

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Zuber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoît Zuber

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

All Works

20 of 20 papers shown
1.
Elferich, Johannes, et al.. (2025). In situ high-resolution cryo-EM reconstructions from CEMOVIS. IUCrJ. 12(4). 502–510.
2.
Ntamati, Niels R., et al.. (2025). Assessing the Potential of NGF-Differentiated PC12 Cells as a Model for Synaptic Transmission. Molecular Neurobiology. 63(1). 281–281.
3.
Witz, Guillaume, et al.. (2024). CryoVesNet: A dedicated framework for synaptic vesicle segmentation in cryo-electron tomograms. The Journal of Cell Biology. 224(1). 2 indexed citations
4.
Iacovache, Ioan, et al.. (2024). Supramolecular assembly of phenanthrene–DNA conjugates into light-harvesting nanospheres. New Journal of Chemistry. 48(36). 15731–15734. 2 indexed citations
5.
Radecke, Julika, Ulrike Laugks, Kenneth N. Goldie, et al.. (2023). Morphofunctional changes at the active zone during synaptic vesicle exocytosis. EMBO Reports. 24(5). e55719–e55719. 16 indexed citations
6.
Hoffmann, Anneliese, et al.. (2023). Characterization of two novel proteins involved in mitochondrial DNA anchoring in Trypanosoma brucei. PLoS Pathogens. 19(7). e1011486–e1011486. 1 indexed citations
7.
Iacovache, Ioan, et al.. (2022). Cryo‐EM structure of the octameric pore of Clostridium perfringens β‐toxin. EMBO Reports. 23(12). e54856–e54856. 5 indexed citations
8.
Marques, Inês J., Alexander Ernst, Andrés Sanz-Morejón, et al.. (2022). Wt1 transcription factor impairs cardiomyocyte specification and drives a phenotypic switch from myocardium to epicardium. Development. 149(6). 11 indexed citations
9.
Marques, Inês J., Andrés Sanz-Morejón, Uta Naumann, et al.. (2022). WT1 transcription factor impairs cardiomyocyte specification and drives a phenotypic switch from myocardium to epicardium. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
10.
Zindel, Joël, Moritz Peiseler, Mokarram Hossain, et al.. (2021). Primordial GATA6 macrophages function as extravascular platelets in sterile injury. Science. 371(6533). 98 indexed citations
11.
Niz, Mariana De, Reto Caldelari, Gesine Kaiser, et al.. (2021). Hijacking of the host cell Golgi by Plasmodium berghei liver stage parasites. Journal of Cell Science. 134(10). 13 indexed citations
12.
Oeljeklaus, Silke, Jan Mani, Beat Haenni, et al.. (2019). The highly diverged trypanosomal MICOS complex is organized in a nonessential integral membrane and an essential peripheral module. Molecular Microbiology. 112(6). 1731–1743. 14 indexed citations
13.
Hoffmann, Anneliese, Sandro Käser, Jiří Týč, et al.. (2018). Molecular model of the mitochondrial genome segregation machinery in Trypanosoma brucei. Proceedings of the National Academy of Sciences. 115(8). E1809–E1818. 35 indexed citations
14.
Zuber, Benoît, et al.. (2016). iMEM: Isolation of Plasma Membrane for Cryoelectron Microscopy. Structure. 24(12). 2198–2206. 8 indexed citations
15.
Breugel, M. van, Masafumi Hirono, Antonina Andreeva, et al.. (2011). Structures of SAS-6 Suggest Its Organization in Centrioles. Science. 331(6021). 1196–1199. 251 indexed citations
16.
Salje, Jeanne, Benoît Zuber, & Jan Löwe. (2008). Electron Cryomicroscopy of E. coli Reveals Filament Bundles Involved in Plasmid DNA Segregation. Science. 323(5913). 509–512. 77 indexed citations
17.
Dubochet, Jacques, Benoît Zuber, Mikhail Eltsov, et al.. (2007). How to “Read” a Vitreous Section. Methods in cell biology. 79. 385–406. 70 indexed citations
18.
Garvalov, Boyan K., Benoît Zuber, Cédric Bouchet‐Marquis, et al.. (2006). Luminal particles within cellular microtubules. The Journal of Cell Biology. 174(6). 759–765. 90 indexed citations
19.
Bouchet‐Marquis, Cédric, Benoît Zuber, Mikhail Eltsov, et al.. (2006). Visualization of cell microtubules in their native state. Biology of the Cell. 99(1). 45–53. 73 indexed citations
20.
Plattet, Philippe, et al.. (2005). The fusion protein of wild-type canine distemper virus is a major determinant of persistent infection. Virology. 337(2). 312–326. 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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