Isabelle Becher
Impact in
- Spectroscopy top 1%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Molecular Biology top 10%
- Metabolomics and Mass Spectrometry Studies
- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
Papers in
- Spectroscopy 11
- Advanced Proteomics Techniques and Applications 11
- Mass Spectrometry Techniques and Applications 6
-
- Protein Degradation and Inhibitors 4
- Protein Structure and Dynamics 3
- Machine Learning in Bioinformatics 3
- Metabolomics and Mass Spectrometry Studies 3
- Ubiquitin and proteasome pathways 3
- Co-authors
- Mikhail M. SavitskiMarcus BantscheffGavain M.A. SweetmanCarola DoceNils KurzawaToby MathiesonNico ZinnThilo Werner
- Journals
- Cell (3 papers)Journal of Proteome Research (2 papers)Nature Communications (2 papers)Nature Chemical Biology (2 papers)ACS Chemical Biology (2 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Isabelle Becher
22 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 100
- Spectroscopy 659
- Molecular Biology 1.2k
- Cell Biology 157
- Structural Biology 10
- Computational Theory and Mathematics 108
Countries citing papers authored by Isabelle Becher
This map shows the geographic impact of Isabelle Becher'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 Isabelle Becher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabelle Becher more than expected).
Fields of papers citing papers by Isabelle Becher
This network shows the impact of papers produced by Isabelle Becher. 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 Isabelle Becher. The network helps show where Isabelle Becher may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Isabelle Becher, 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 | 2025 | 12 | |
| 2 | 2025 | 8 | |
| 3 | 2024 | 9 | |
| 4 | 2023 | 34 | |
| 5 | 2023 | 18 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 23 | |
| 8 | 2023 | 3 | |
| 9 | 2021 | 67 | |
| 10 | 2020 | 32 | |
| 11 | 2020 | 19 | |
| 12 | 2018 | 250 | |
| 13 | 2018 | 156 | |
| 14 | 2016 | 165 | |
| 15 | 2014 | 1 | |
| 16 | 2014 | 85 | |
| 17 | 2013 | 213 | |
| 18 | 2012 | 69 | |
| 19 | 2012 | 150 | |
| 20 | 2010 | 29 |
About Isabelle Becher
Isabelle Becher is a scholar working on Spectroscopy, Molecular Biology, Virology, Paleontology and Hepatology, having authored 22 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (11 papers), Mass Spectrometry Techniques and Applications (6 papers), Protein Degradation and Inhibitors (4 papers), Protein Structure and Dynamics (3 papers), Machine Learning in Bioinformatics (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Ubiquitin and proteasome pathways (3 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Spectroscopy (659 citations), Molecular Biology (1.2k citations), Cell Biology (157 citations), Structural Biology (10 citations) and Computational Theory and Mathematics (108 citations). Isabelle Becher has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Mikhail M. Savitski, Marcus Bantscheff, Gavain M.A. Sweetman, Carola Doce, Nils Kurzawa, Toby Mathieson, Nico Zinn, Thilo Werner, André Mateus and Dominic Helm. Their work appears in journals such as Cell, Journal of Proteome Research, Nature Communications, Nature Chemical Biology and ACS Chemical 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.