Sandrine Georgeon
- Hematology top 10%
- Chronic Myeloid Leukemia Treatments 6
- Neurology top 10%
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research 5
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- RNA and protein synthesis mechanisms 4
- Protein Structure and Dynamics 3
- PI3K/AKT/mTOR signaling in cancer 3
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- Monoclonal and Polyclonal Antibodies Research 6
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- Peptidase Inhibition and Analysis 3
- CAR-T cell therapy research 2
- Co-authors
- Oliver HantschelAllan Joaquim LamontanaraBruno E. CorreiaIgor DikiyAmanda M. GysbersAbid OueslatiDavid EliezerBruno Fauvet
- Cited by
- HematologyNeurologyGenetics
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Sandrine Georgeon
24 papers receiving 822 citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Hematology 136
- Neurology 144
- Genetics 89
- Molecular Biology 505
- Cellular and Molecular Neuroscience 88
Countries citing papers authored by Sandrine Georgeon
This map shows the geographic impact of Sandrine Georgeon'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 Sandrine Georgeon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandrine Georgeon more than expected).
Fields of papers citing papers by Sandrine Georgeon
This network shows the impact of papers produced by Sandrine Georgeon. 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 Sandrine Georgeon. The network helps show where Sandrine Georgeon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sandrine Georgeon, 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 | 2026 | 0 | |
| 2 | Targeting protein–ligand neosurfaces with a generalizable deep learning toolbreakdown → | 2025 | 19 |
| 3 | 2024 | 56 | |
| 4 | 2024 | 14 | |
| 5 | 2024 | 3 | |
| 6 | Computational design of soluble and functional membrane protein analoguesbreakdown → | 2024 | 40 |
| 7 | 2024 | 5 | |
| 8 | 2023 | 11 | |
| 9 | 2021 | 62 | |
| 10 | 2021 | 21 | |
| 11 | 2020 | 15 | |
| 12 | 2020 | 22 | |
| 13 | 2017 | 72 | |
| 14 | 2017 | 43 | |
| 15 | 2017 | 38 | |
| 16 | 2016 | 18 | |
| 17 | 2014 | 40 | |
| 18 | 2014 | 182 | |
| 19 | 2013 | 78 | |
| 20 | 2006 | 9 |
About Sandrine Georgeon
Sandrine Georgeon is a scholar working on Structural Biology, Hematology and Genetics, having authored 27 papers that have together received 829 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), RNA and protein synthesis mechanisms (4 papers), Protein Structure and Dynamics (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Peptidase Inhibition and Analysis (3 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Hematology (136 citations), Neurology (144 citations) and Genetics (89 citations). Sandrine Georgeon has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Oliver Hantschel, Allan Joaquim Lamontanara, Bruno E. Correia, Igor Dikiy, Amanda M. Gysbers, Abid Oueslati, David Eliezer, Bruno Fauvet, Glenda M. Halliday and Hilal A. Lashuel. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.