Simon Gaudin
Impact in
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- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Epigenetics and DNA Methylation
- Single-cell and spatial transcriptomics
- CRISPR and Genetic Engineering
Papers in
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- RNA Research and Splicing 3
- Genomics and Chromatin Dynamics 2
- Wnt/β-catenin signaling in development and cancer 2
- RNA and protein synthesis mechanisms 2
- Genomics and Phylogenetic Studies 1
- Diffusion and Search Dynamics 1
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- Axon Guidance and Neuronal Signaling 1
- Co-authors
- Pavel Kos (1 shared paper)Julie Cramard (1 shared paper)Mariya Kryzhanovska (1 shared paper)Guido Tiana (1 shared paper)Luca Giorgetti (1 shared paper)Pia Mach (1 shared paper)Jana Tünnermann (1 shared paper)Grégory Roth (1 shared paper)
- Journals
- Science (3 papers)Nature Genetics (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)
- Partner nations
- United StatesFranceItaly
In The Last Decade
Simon Gaudin
5 papers receiving 222 citations
Simon Gaudin's Hit Papers
Peers
Comparison fields: 5 of 35
- Molecular Biology 182
- Biophysics 7
- Sensory Systems 5
- Plant Science 35
- Cell Biology 10
Countries citing papers authored by Simon Gaudin
This map shows the geographic impact of Simon Gaudin'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 Gaudin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Gaudin more than expected).
Fields of papers citing papers by Simon Gaudin
This network shows the impact of papers produced by Simon Gaudin. 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 Gaudin. The network helps show where Simon Gaudin may publish in the future.
Co-authors
The 21 scholars most cited alongside Simon Gaudin, 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 | Cohesin and CTCF control the dynamics of chromosome folding Hit paper breakdown → | 2022 | 154 |
| 2 | 2023 | 42 | |
| 3 | 2024 | 17 | |
| 4 | 2025 | 6 | |
| 5 | 2023 | 3 |
About Simon Gaudin
Simon Gaudin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Ecology, Infectious Diseases and Organic Chemistry, having authored 5 papers that have together received 222 indexed citations. Recurring topics across this work include RNA Research and Splicing (3 papers), Genomics and Chromatin Dynamics (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), RNA and protein synthesis mechanisms (2 papers), Genomics and Phylogenetic Studies (1 paper), Diffusion and Search Dynamics (1 paper), Axon Guidance and Neuronal Signaling (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Molecular Biology (182 citations), Biophysics (7 citations), Sensory Systems (5 citations), Plant Science (35 citations) and Cell Biology (10 citations). Simon Gaudin has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Pavel Kos, Julie Cramard, Mariya Kryzhanovska, Guido Tiana, Luca Giorgetti, Pia Mach, Jana Tünnermann, Grégory Roth, Yinxiu Zhan and Sébastien A. Smallwood. Their work appears in journals such as Science, Nature Genetics and Zenodo (CERN European Organization for Nuclear Research).
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.