Sophie Lèbre
- Molecular Biology
- Artificial Intelligence top 10%
- Plant Science
- Genetics
- Statistical and Nonlinear Physics
- Co-authors
- Radhakrishnan NagarajanMarco ScutariFrank DondelingerDirk HusmeierGaëlle LelandaisJennifer BecqMichael P. H. StumpfFrédéric Devaux
- Topics
- RNA and protein synthesis mechanisms (7 papers)Gene Regulatory Network Analysis (6 papers)Bioinformatics and Genomic Networks (6 papers)
- Partner nations
- FranceUnited KingdomLuxembourg
In The Last Decade
Sophie Lèbre
22 papers receiving 625 citations
Peers
Comparison fields: 5 of 133
- Molecular Biology 312
- Artificial Intelligence 139
- Plant Science 59
- Genetics 56
- Statistical and Nonlinear Physics 32
Countries citing papers authored by Sophie Lèbre
This map shows the geographic impact of Sophie Lèbre'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 Sophie Lèbre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sophie Lèbre more than expected).
Fields of papers citing papers by Sophie Lèbre
This network shows the impact of papers produced by Sophie Lèbre. 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 Sophie Lèbre. The network helps show where Sophie Lèbre may publish in the future.
Co-authorship network of co-authors of Sophie Lèbre
This figure shows the co-authorship network connecting the top 25 collaborators of Sophie Lèbre. A scholar is included among the top collaborators of Sophie Lèbre based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sophie Lèbre. Sophie Lèbre is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 40 | |
| 6 | 2 | |
| 7 | 14 | |
| 8 | 23 | |
| 9 | 8 | |
| 10 | 18 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 196 | |
| 14 | 2 | |
| 15 | 4 | |
| 16 | 6 | |
| 17 | 124 | |
| 18 | 79 | |
| 19 | 11 | |
| 20 | 12 |
About Sophie Lèbre
Sophie Lèbre is a scholar working on Molecular Biology, Atmospheric Science and Artificial Intelligence, having authored 23 papers that have together received 644 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), Gene Regulatory Network Analysis (6 papers) and Bioinformatics and Genomic Networks (6 papers). The work is most often cited by research in Molecular Biology (312 citations), Artificial Intelligence (139 citations) and Statistics and Probability (32 citations). Sophie Lèbre has collaborated with scholars based in France, United Kingdom and Luxembourg. Frequent co-authors include Radhakrishnan Nagarajan, Marco Scutari, Frank Dondelinger, Dirk Husmeier, Gaëlle Lelandais, Jennifer Becq, Michael P. H. Stumpf, Frédéric Devaux, Antoine Martin and Olivier Gascuel. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and New Phytologist.
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.