Simon de Beco
Impact in
- Cell Biology top 1%
- Cellular Mechanics and Interactions
- Hippo pathway signaling and YAP/TAZ
- Microtubule and mitosis dynamics
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
Papers in
- Cell Biology 13
- Cellular Mechanics and Interactions 10
- Microtubule and mitosis dynamics 4
- Hippo pathway signaling and YAP/TAZ 4
- Cellular transport and secretion 3
- Skin and Cellular Biology Research 2
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- Wnt/β-catenin signaling in development and cancer 2
- Co-authors
- Laura A. Johnston (2 shared papers)Ricardo M. Neto-Silva (1 shared paper)Sylvie Coscoy (3 shared papers)François Amblard (3 shared papers)Mathieu Coppey (7 shared papers)Charles Gueudry (1 shared paper)Raphaël Voituriez (2 shared papers)Marcello Ziosi (1 shared paper)
- Journals
- Nature Communications (2 papers)PLoS ONE (1 paper)Cell Death Discovery (1 paper)Cell Death and Disease (1 paper)Cell Reports (1 paper)
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Simon de Beco
16 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 92
- Cell Biology 802
- Immunology and Allergy 72
- Aging 19
- Biophysics 48
- Molecular Biology 538
Countries citing papers authored by Simon de Beco
This map shows the geographic impact of Simon de Beco'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 Simon de Beco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon de Beco more than expected).
Fields of papers citing papers by Simon de Beco
This network shows the impact of papers produced by Simon de Beco. 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 Simon de Beco. The network helps show where Simon de Beco may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon de Beco, 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 | 304 | |
| 2 | 2010 | 238 | |
| 3 | 2009 | 140 | |
| 4 | 2020 | 115 | |
| 5 | 2017 | 65 | |
| 6 | 2020 | 62 | |
| 7 | 2012 | 55 | |
| 8 | 2018 | 53 | |
| 9 | 2012 | 29 | |
| 10 | 2018 | 29 | |
| 11 | 2015 | 25 | |
| 12 | 2020 | 24 | |
| 13 | 2021 | 12 | |
| 14 | 2014 | 2 | |
| 15 | 2018 | 2 | |
| 16 | 2023 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2020 | 0 |
About Simon de Beco
Simon de Beco is a scholar working on Cell Biology, Molecular Biology, Biomedical Engineering, Cellular and Molecular Neuroscience and Organic Chemistry, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (10 papers), Microtubule and mitosis dynamics (4 papers), Hippo pathway signaling and YAP/TAZ (4 papers), Cellular transport and secretion (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Skin and Cellular Biology Research (2 papers), 3D Printing in Biomedical Research (2 papers) and Microfluidic and Bio-sensing Technologies (2 papers). The work is most often cited by research in Cell Biology (802 citations), Immunology and Allergy (72 citations), Aging (19 citations), Biophysics (48 citations) and Molecular Biology (538 citations). Simon de Beco has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Laura A. Johnston, Ricardo M. Neto-Silva, Sylvie Coscoy, François Amblard, Mathieu Coppey, Charles Gueudry, Raphaël Voituriez, Marcello Ziosi, Michael Sixt and Carl‐Philipp Heisenberg. Their work appears in journals such as Nature Communications, PLoS ONE, Cell Death Discovery, Cell Death and Disease and Cell Reports.
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.