Sami Chaaban

778 total citations
9 papers, 444 citations indexed

About

Sami Chaaban is a scholar working on Molecular Biology, Cell Biology and Condensed Matter Physics. According to data from OpenAlex, Sami Chaaban has authored 9 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Cell Biology and 1 paper in Condensed Matter Physics. Recurrent topics in Sami Chaaban's work include Microtubule and mitosis dynamics (7 papers), Protist diversity and phylogeny (3 papers) and Photosynthetic Processes and Mechanisms (3 papers). Sami Chaaban is often cited by papers focused on Microtubule and mitosis dynamics (7 papers), Protist diversity and phylogeny (3 papers) and Photosynthetic Processes and Mechanisms (3 papers). Sami Chaaban collaborates with scholars based in Canada, United Kingdom and United States. Sami Chaaban's co-authors include Gary J. Brouhard, Michał W. Wieczorek, Susanne Bechstedt, Andrew P. Carter, Khanh Huy Bui, David Sept, Stefanie Redemann, Thomas Müller‐Reichert, Shashank Jariwala and Justin M. Kollman and has published in prestigious journals such as Nature, The Journal of Cell Biology and Nature Cell Biology.

In The Last Decade

Sami Chaaban

9 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sami Chaaban Canada 6 335 323 40 33 17 9 444
Ewa Szczęsna United States 7 344 1.0× 326 1.0× 30 0.8× 25 0.8× 10 0.6× 13 474
Amol Aher Netherlands 13 366 1.1× 406 1.3× 45 1.1× 48 1.5× 40 2.4× 17 565
Christian Duellberg United Kingdom 9 421 1.3× 406 1.3× 46 1.1× 21 0.6× 13 0.8× 11 511
Akanksha Thawani United States 10 343 1.0× 331 1.0× 80 2.0× 15 0.5× 12 0.7× 14 437
Elisabeth A. Geyer United States 10 434 1.3× 403 1.2× 59 1.5× 15 0.5× 12 0.7× 13 483
Hiroaki Yajima Japan 4 389 1.2× 293 0.9× 39 1.0× 19 0.6× 6 0.4× 5 450
Beata E. Mierzwa United States 7 321 1.0× 517 1.6× 26 0.7× 60 1.8× 4 0.2× 9 683
Annapurna Vemu United States 6 314 0.9× 309 1.0× 20 0.5× 19 0.6× 8 0.5× 9 405
A. S. Jijumon France 9 220 0.7× 256 0.8× 27 0.7× 39 1.2× 8 0.5× 14 402
Shotaro Otsuka Germany 12 139 0.4× 558 1.7× 20 0.5× 30 0.9× 13 0.8× 19 636

Countries citing papers authored by Sami Chaaban

Since Specialization
Citations

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

Fields of papers citing papers by Sami Chaaban

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sami Chaaban

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

All Works

9 of 9 papers shown
1.
Souza, Diorge P., Javier Espadas, Sami Chaaban, et al.. (2025). Asgard archaea reveal the conserved principles of ESCRT-III membrane remodeling. Science Advances. 11(6). eads5255–eads5255. 5 indexed citations
2.
Gölcük, Mert, Sami Chaaban, Fillip Port, et al.. (2024). A force-sensitive mutation reveals a non-canonical role for dynein in anaphase progression. The Journal of Cell Biology. 223(10). 2 indexed citations
3.
Chaaban, Sami, et al.. (2024). AI told you so: navigating protein structure prediction in the era of machine learning. The Biochemist. 46(2). 7–12. 3 indexed citations
4.
Chaaban, Sami & Andrew P. Carter. (2022). Structure of dynein–dynactin on microtubules shows tandem adaptor binding. Nature. 610(7930). 212–216. 49 indexed citations
5.
McAlear, Thomas S., Nathalie Croteau, Simon Veyron, et al.. (2021). Crystal structure of human PACRG in complex with MEIG1 reveals roles in axoneme formation and tubulin binding. Structure. 29(6). 572–586.e6. 15 indexed citations
6.
Chaaban, Sami, Shashank Jariwala, Stefanie Redemann, et al.. (2018). The Structure and Dynamics of C. elegans Tubulin Reveals the Mechanistic Basis of Microtubule Growth. Developmental Cell. 47(2). 191–204.e8. 54 indexed citations
7.
Chaaban, Sami & Gary J. Brouhard. (2017). A microtubule bestiary: structural diversity in tubulin polymers. Molecular Biology of the Cell. 28(22). 2924–2931. 119 indexed citations
8.
Wieczorek, Michał W., Susanne Bechstedt, Sami Chaaban, & Gary J. Brouhard. (2015). Microtubule-associated proteins control the kinetics of microtubule nucleation. Nature Cell Biology. 17(7). 907–916. 165 indexed citations
9.
Wieczorek, Michał W., Sami Chaaban, & Gary J. Brouhard. (2013). Macromolecular Crowding Pushes Catalyzed Microtubule Growth to Near the Theoretical Limit. Cellular and Molecular Bioengineering. 6(4). 383–392. 32 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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