Jessica Andréani
- Molecular Biology top 10%
- Protein Structure and Dynamics 18
- RNA and protein synthesis mechanisms 13
- Bioinformatics and Genomic Networks 8
- DNA Repair Mechanisms 6
- Cell Biology top 10%
- Microtubule and mitosis dynamics 5
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- Bacterial Genetics and Biotechnology 7
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- Enzyme Structure and Function 7
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- Bacteriophages and microbial interactions 5
- Co-authors
- Raphaël GuéroisGuilhem FaureJinchao YuJohannes SödingPierre TufféryJulien ReyValérie BordeArnaud De Muyt
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nucleic Acids Research (7 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Jessica Andréani
37 papers receiving 918 citations
Peers
Comparison fields: 5 of 77
- Molecular Biology 808
- Structural Biology 12
- Computational Theory and Mathematics 123
- Cell Biology 119
- Endocrinology 23
Countries citing papers authored by Jessica Andréani
This map shows the geographic impact of Jessica Andréani'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 Jessica Andréani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jessica Andréani more than expected).
Fields of papers citing papers by Jessica Andréani
This network shows the impact of papers produced by Jessica Andréani. 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 Jessica Andréani. The network helps show where Jessica Andréani may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jessica Andréani, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 45 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 3 | |
| 8 | 2021 | 3 | |
| 9 | 2021 | 15 | |
| 10 | 2021 | 21 | |
| 11 | 2020 | 15 | |
| 12 | 2019 | 6 | |
| 13 | 2019 | 17 | |
| 14 | 2018 | 9 | |
| 15 | 2018 | 8 | |
| 16 | 2017 | 86 | |
| 17 | 2015 | 27 | |
| 18 | 2014 | 21 | |
| 19 | 2013 | 28 | |
| 20 | 2012 | 36 |
About Jessica Andréani
Jessica Andréani is a scholar working on Molecular Biology, Endocrinology and Cell Biology, having authored 39 papers that have together received 921 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (18 papers), RNA and protein synthesis mechanisms (13 papers), Bioinformatics and Genomic Networks (8 papers), Bacterial Genetics and Biotechnology (7 papers), Enzyme Structure and Function (7 papers), DNA Repair Mechanisms (6 papers), Bacteriophages and microbial interactions (5 papers) and Microtubule and mitosis dynamics (5 papers). The work is most often cited by research in Molecular Biology (808 citations), Structural Biology (12 citations) and Computational Theory and Mathematics (123 citations). Jessica Andréani has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Raphaël Guérois, Guilhem Faure, Jinchao Yu, Johannes Söding, Pierre Tufféry, Julien Rey, Valérie Borde, Arnaud De Muyt, Diego Javier Zea and Françoise Ochsenbein. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.