Hervé Le Hir
- Molecular Biology top 0.5%
- Cancer Research top 5%
- Plant Science top 5%
- Genetics top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Melissa J. MooreBertrand SéraphinLionel BallutZhen WangJérôme SaulièreHala ChamiehFrancesca FioriniFabien Bonneau
- Topics
- RNA Research and Splicing (57 papers)RNA and protein synthesis mechanisms (46 papers)RNA modifications and cancer (37 papers)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Hervé Le Hir
66 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Molecular Biology 6.4k
- Cancer Research 395
- Plant Science 383
- Genetics 380
- Cardiology and Cardiovascular Medicine 310
Countries citing papers authored by Hervé Le Hir
This map shows the geographic impact of Hervé Le Hir'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 Hervé Le Hir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hervé Le Hir more than expected).
Fields of papers citing papers by Hervé Le Hir
This network shows the impact of papers produced by Hervé Le Hir. 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 Hervé Le Hir. The network helps show where Hervé Le Hir may publish in the future.
Co-authorship network of co-authors of Hervé Le Hir
This figure shows the co-authorship network connecting the top 25 collaborators of Hervé Le Hir. A scholar is included among the top collaborators of Hervé Le Hir 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 Hervé Le Hir. Hervé Le Hir is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | Exclusion of m6A from splice-site proximal regions by the exon junction complex dictates m6A topologies and mRNA stabilitybreakdown → | 123 |
| 4 | 5 | |
| 5 | 59 | |
| 6 | 30 | |
| 7 | 7 | |
| 8 | 109 | |
| 9 | 52 | |
| 10 | 59 | |
| 11 | 159 | |
| 12 | 23 | |
| 13 | 94 | |
| 14 | 101 | |
| 15 | 123 | |
| 16 | 336 | |
| 17 | 337 | |
| 18 | 193 | |
| 19 | The exon-exon junction complex provides a binding platform for factors involved in mRNA export and nonsense-mediated mRNA decaybreakdown → | 648 |
| 20 | 19 |
About Hervé Le Hir
Hervé Le Hir is a scholar working on Molecular Biology, Aging and Developmental Neuroscience, having authored 68 papers that have together received 6.9k indexed citations. Recurring topics across this work include RNA Research and Splicing (57 papers), RNA and protein synthesis mechanisms (46 papers) and RNA modifications and cancer (37 papers). The work is most often cited by research in Molecular Biology (6.4k citations), Aging (82 citations) and Cancer Research (395 citations). Hervé Le Hir has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Melissa J. Moore, Bertrand Séraphin, Lionel Ballut, Zhen Wang, Jérôme Saulière, Hala Chamieh, Francesca Fiorini, Fabien Bonneau, Lynne E. Maquat and G.R. Andersen. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.