Sami Chaaban
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Cellular Mechanics and Interactions
- Cellular transport and secretion
- Structural Biology top 10%
Papers in
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- Protist diversity and phylogeny 3
- Photosynthetic Processes and Mechanisms 3
- Genetics, Bioinformatics, and Biomedical Research 1
- Machine Learning in Bioinformatics 1
- Lipid Membrane Structure and Behavior 1
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- Microtubule and mitosis dynamics 7
- Endoplasmic Reticulum Stress and Disease 1
- Co-authors
- Gary J. Brouhard (5 shared papers)Michał W. Wieczorek (2 shared papers)Susanne Bechstedt (2 shared papers)Andrew P. Carter (2 shared papers)Khanh Huy Bui (2 shared papers)Justin M. Kollman (1 shared paper)David Sept (1 shared paper)Thomas Müller‐Reichert (1 shared paper)
- Journals
- The Journal of Cell Biology (1 paper)Molecular Biology of the Cell (1 paper)Nature Cell Biology (1 paper)Cellular and Molecular Bioengineering (1 paper)Structure (1 paper)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Sami Chaaban
9 papers receiving 443 citations
Peers
Comparison fields: 5 of 65
- Cell Biology 335
- Structural Biology 15
- Aging 11
- Molecular Biology 323
- Biophysics 13
Countries citing papers authored by Sami Chaaban
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
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-authors
The 25 scholars most cited alongside Sami Chaaban, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 165 | |
| 2 | 2017 | 119 | |
| 3 | 2018 | 54 | |
| 4 | 2022 | 49 | |
| 5 | 2013 | 32 | |
| 6 | 2021 | 15 | |
| 7 | 2025 | 5 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 2 |
About Sami Chaaban
Sami Chaaban is a scholar working on Molecular Biology, Cell Biology, Condensed Matter Physics, Genetics and Aging, having authored 9 papers that have together received 444 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (7 papers), Protist diversity and phylogeny (3 papers), Photosynthetic Processes and Mechanisms (3 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Machine Learning in Bioinformatics (1 paper), Lipid Membrane Structure and Behavior (1 paper), Bacterial Genetics and Biotechnology (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Cell Biology (335 citations), Structural Biology (15 citations), Aging (11 citations), Molecular Biology (323 citations) and Biophysics (13 citations). Sami Chaaban has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Gary J. Brouhard, Michał W. Wieczorek, Susanne Bechstedt, Andrew P. Carter, Khanh Huy Bui, Justin M. Kollman, David Sept, Thomas Müller‐Reichert, Shashank Jariwala and Stefanie Redemann. Their work appears in journals such as The Journal of Cell Biology, Molecular Biology of the Cell, Nature Cell Biology, Cellular and Molecular Bioengineering and Structure.
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.