Samia Aci‐Sèche
Impact in
- Biophysics top 10%
- Electron Spin Resonance Studies
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- Computational Drug Discovery Methods
Papers in
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- Computational Drug Discovery Methods 9
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- Microtubule and mitosis dynamics 2
- Cellular Mechanics and Interactions 2
- Co-authors
- Pascal Bonnet (16 shared papers)Norbert Garnier (7 shared papers)Stéphane Bourg (5 shared papers)Monique Genest (5 shared papers)Christophe Meyer (2 shared papers)Dominique Bagnard (3 shared papers)Quoc‐Tuan Do (2 shared papers)P. Hubert (3 shared papers)
In The Last Decade
Samia Aci‐Sèche
29 papers receiving 475 citations
Peers
Comparison fields: 5 of 79
- Biophysics 44
- Computational Theory and Mathematics 100
- Immunology and Allergy 27
- Cell Biology 70
- Molecular Biology 292
Countries citing papers authored by Samia Aci‐Sèche
This map shows the geographic impact of Samia Aci‐Sèche'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 Samia Aci‐Sèche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samia Aci‐Sèche more than expected).
Fields of papers citing papers by Samia Aci‐Sèche
This network shows the impact of papers produced by Samia Aci‐Sèche. 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 Samia Aci‐Sèche. The network helps show where Samia Aci‐Sèche may publish in the future.
Co-authors
The 25 scholars most cited alongside Samia Aci‐Sèche, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 67 | |
| 2 | 2020 | 56 | |
| 3 | 2014 | 43 | |
| 4 | 2009 | 37 | |
| 5 | 2016 | 33 | |
| 6 | 2017 | 28 | |
| 7 | 2016 | 25 | |
| 8 | 2014 | 25 | |
| 9 | 2019 | 19 | |
| 10 | 2022 | 18 | |
| 11 | 2011 | 16 | |
| 12 | 2024 | 14 | |
| 13 | 2018 | 13 | |
| 14 | 2015 | 13 | |
| 15 | 2023 | 12 | |
| 16 | 2020 | 11 | |
| 17 | 2019 | 9 | |
| 18 | 2021 | 8 | |
| 19 | 2010 | 7 | |
| 20 | 2023 | 7 |
About Samia Aci‐Sèche
Samia Aci‐Sèche is a scholar working on Computational Theory and Mathematics, Cell Biology, Molecular Biology, Oncology and Biophysics, having authored 30 papers that have together received 491 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (9 papers), Computational Drug Discovery Methods (9 papers), Enzyme Structure and Function (4 papers), Axon Guidance and Neuronal Signaling (3 papers), Electron Spin Resonance Studies (2 papers), Microtubule and mitosis dynamics (2 papers), Cellular Mechanics and Interactions (2 papers) and Chemical Synthesis and Analysis (2 papers). The work is most often cited by research in Biophysics (44 citations), Computational Theory and Mathematics (100 citations), Immunology and Allergy (27 citations), Cell Biology (70 citations) and Molecular Biology (292 citations). Samia Aci‐Sèche has collaborated with scholars based in France, Belgium and Germany. Frequent co-authors include Pascal Bonnet, Norbert Garnier, Stéphane Bourg, Monique Genest, Christophe Meyer, Dominique Bagnard, Quoc‐Tuan Do, P. Hubert, Giuseppe Sicoli and Yves Boulard. Their work appears in journals such as International Journal of Molecular Sciences, European Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling, ACS Chemical Biology and Current Issues in Molecular Biology.
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.