Florence Levillayer
Impact in
- Hepatology top 10%
- Hepatitis C virus research
- Cell Biology top 10%
- Cellular Mechanics and Interactions
- Hippo pathway signaling and YAP/TAZ
Papers in
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- Porphyrin Metabolism and Disorders 2
- RNA Research and Splicing 2
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- Hepatitis B Virus Studies 3
- Co-authors
- Romain Levayer (4 shared papers)Léo Valon (2 shared papers)Eduardo Moreno (1 shared paper)Evelyne Raux (2 shared papers)Claude Thermes (2 shared papers)Alain Rambach (2 shared papers)Martin J. Warren (2 shared papers)Maryline Bourgine (1 shared paper)
- Journals
- Nature Communications (2 papers)Current Biology (2 papers)PLoS ONE (2 papers)Molecular and Cellular Biology (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- FranceUnited StatesChina
In The Last Decade
Florence Levillayer
21 papers receiving 750 citations
Peers
Comparison fields: 5 of 85
- Hepatology 75
- Cell Biology 138
- Immunology 169
- Rheumatology 77
- Molecular Biology 361
Countries citing papers authored by Florence Levillayer
This map shows the geographic impact of Florence Levillayer'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 Florence Levillayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florence Levillayer more than expected).
Fields of papers citing papers by Florence Levillayer
This network shows the impact of papers produced by Florence Levillayer. 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 Florence Levillayer. The network helps show where Florence Levillayer may publish in the future.
Co-authors
The 25 scholars most cited alongside Florence Levillayer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 106 | |
| 2 | 2013 | 96 | |
| 3 | 2018 | 94 | |
| 4 | 2021 | 72 | |
| 5 | 2012 | 51 | |
| 6 | 2013 | 39 | |
| 7 | 2008 | 38 | |
| 8 | 2007 | 37 | |
| 9 | 2000 | 33 | |
| 10 | 1998 | 28 | |
| 11 | 2012 | 27 | |
| 12 | 2012 | 22 | |
| 13 | 2001 | 20 | |
| 14 | 2017 | 17 | |
| 15 | 2022 | 16 | |
| 16 | 1999 | 15 | |
| 17 | 2010 | 14 | |
| 18 | 2015 | 13 | |
| 19 | 2023 | 9 | |
| 20 | 2008 | 8 |
About Florence Levillayer
Florence Levillayer is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Immunology and Cardiology and Cardiovascular Medicine, having authored 21 papers that have together received 761 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (4 papers), Hepatitis B Virus Studies (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Porphyrin Metabolism and Disorders (2 papers), Hepatitis C virus research (2 papers), RNA Research and Splicing (2 papers), Cassava research and cyanide (2 papers) and Macrophage Migration Inhibitory Factor (2 papers). The work is most often cited by research in Hepatology (75 citations), Cell Biology (138 citations), Immunology (169 citations), Rheumatology (77 citations) and Molecular Biology (361 citations). Florence Levillayer has collaborated with scholars based in France, United States and China. Frequent co-authors include Romain Levayer, Léo Valon, Eduardo Moreno, Evelyne Raux, Claude Thermes, Alain Rambach, Martin J. Warren, Maryline Bourgine, Marie‐Louise Michel and Ophélie Godon. Their work appears in journals such as Nature Communications, Current Biology, PLoS ONE, Molecular and Cellular Biology 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.