Margot Riggi
Impact in
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- Cellular transport and secretion
- Cellular Mechanics and Interactions
- Endoplasmic Reticulum Stress and Disease
- Microtubule and mitosis dynamics
Papers in
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- Genomics and Chromatin Dynamics 3
- Single-cell and spatial transcriptomics 1
- Genetics, Bioinformatics, and Biomedical Research 1
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- Cellular transport and secretion 3
- Co-authors
- Robbie Loewith (3 shared papers)Beata Kuśmider (2 shared papers)Stefan Matile (2 shared papers)Aurélien Roux (2 shared papers)Nicolas Chiaruttini (1 shared paper)Saeideh Soleimanpour (1 shared paper)Vincent Mercier (1 shared paper)Michael Ståhl (1 shared paper)
- Journals
- Journal of Cell Science (2 papers)Proceedings of the National Academy of Sciences (2 papers)Nature Methods (1 paper)The Journal of Cell Biology (1 paper)Nature Cell Biology (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Margot Riggi
9 papers receiving 194 citations
Peers
Comparison fields: 5 of 52
- Cell Biology 104
- Structural Biology 5
- Molecular Biology 137
- Biophysics 8
- Aging 2
Countries citing papers authored by Margot Riggi
This map shows the geographic impact of Margot Riggi'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 Margot Riggi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margot Riggi more than expected).
Fields of papers citing papers by Margot Riggi
This network shows the impact of papers produced by Margot Riggi. 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 Margot Riggi. The network helps show where Margot Riggi may publish in the future.
Co-authors
The 25 scholars most cited alongside Margot Riggi, 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 | 2018 | 107 | |
| 2 | 2019 | 42 | |
| 3 | 2020 | 28 | |
| 4 | 2025 | 5 | |
| 5 | 2023 | 4 | |
| 6 | 2024 | 4 | |
| 7 | 2022 | 2 | |
| 8 | 2021 | 2 | |
| 9 | 2025 | 1 | |
| 10 | 2025 | 0 | |
| 11 | 2025 | 0 | |
| 12 | 2025 | 0 | |
| 13 | 2025 | 0 |
About Margot Riggi
Margot Riggi is a scholar working on Molecular Biology, Cell Biology, Structural Biology, Computational Theory and Mathematics and Biophysics, having authored 13 papers that have together received 195 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), Cellular transport and secretion (3 papers), Cell Image Analysis Techniques (2 papers), Computational Drug Discovery Methods (2 papers), Advanced Electron Microscopy Techniques and Applications (2 papers), Single-cell and spatial transcriptomics (1 paper), Genetics, Bioinformatics, and Biomedical Research (1 paper) and Computational Physics and Python Applications (1 paper). The work is most often cited by research in Cell Biology (104 citations), Structural Biology (5 citations), Molecular Biology (137 citations), Biophysics (8 citations) and Aging (2 citations). Margot Riggi has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Robbie Loewith, Beata Kuśmider, Stefan Matile, Aurélien Roux, Nicolas Chiaruttini, Saeideh Soleimanpour, Vincent Mercier, Michael Ståhl, Adai Colom and Clélia Bourgoint. Their work appears in journals such as Journal of Cell Science, Proceedings of the National Academy of Sciences, Nature Methods, The Journal of Cell Biology and Nature Cell 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.