A Lavenu
- Molecular Biology
- Epidemiology
- Virology top 10%
- Microbiology top 10%
- Genetics
- Co-authors
- Charles BabinetD. MorelloHervé BourhyS. PourninRosine OnclercqChantal CrémisiHassan BadraneB. Kissi
- Topics
- Virus-based gene therapy research (3 papers)Viral Infectious Diseases and Gene Expression in Insects (2 papers)RNA Interference and Gene Delivery (2 papers)
- Cited by
- VirologyMicrobiologyHepatology
In The Last Decade
A Lavenu
13 papers receiving 328 citations
Peers
Comparison fields: 5 of 61
- Molecular Biology 165
- Epidemiology 89
- Virology 59
- Microbiology 55
- Genetics 52
Countries citing papers authored by A Lavenu
This map shows the geographic impact of A Lavenu'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 A Lavenu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A Lavenu more than expected).
Fields of papers citing papers by A Lavenu
This network shows the impact of papers produced by A Lavenu. 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 A Lavenu. The network helps show where A Lavenu may publish in the future.
Co-authorship network of co-authors of A Lavenu
This figure shows the co-authorship network connecting the top 25 collaborators of A Lavenu. A scholar is included among the top collaborators of A Lavenu 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 A Lavenu. A Lavenu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 55 | |
| 3 | 73 | |
| 4 | 3 | |
| 5 | 13 | |
| 6 | 18 | |
| 7 | The cis-acting elements known to regulate c-myc expression ex vivo are not sufficient for correct transcription in vivo. | 26 |
| 8 | The 5' and 3' non-coding sequences of the c-myc gene, required in vitro for its post-transcriptional regulation, are dispensable in vivo. | 18 |
| 9 | Differential regulation and expression of jun, c-fos and c-myc proto-oncogenes during mouse liver regeneration and after inhibition of protein synthesis. | 63 |
| 10 | 15 | |
| 11 | Lymphoproliferative syndrome associated with c-myc expression driven by a class I gene promoter in transgenic mice. | 11 |
| 12 | Tissue-specific post-transcriptional regulation of c-myc expression in normal and H-2K/human c-myc transgenic mice. | 15 |
| 13 | 29 |
About A Lavenu
A Lavenu is a scholar working on Virology, Genetics and Microbiology, having authored 13 papers that have together received 341 indexed citations. Recurring topics across this work include Virus-based gene therapy research (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Virology (59 citations), Microbiology (55 citations) and Hepatology (35 citations). A Lavenu has collaborated with scholars based in France and Algeria. Frequent co-authors include Charles Babinet, D. Morello, Hervé Bourhy, S. Pournin, Rosine Onclercq, Chantal Crémisi, Hassan Badrane, B. Kissi, Mohamed Brahimi and Noël Tordo. Their work appears in journals such as Nucleic Acids Research, Molecular and Cellular Biology and Journal of Virology.
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.