Anne Beugnet
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- RNA modifications and cancer
- RNA Research and Splicing
- PI3K/AKT/mTOR signaling in cancer
- RNA and protein synthesis mechanisms
- Circular RNAs in diseases
- Polyamine Metabolism and Applications
Papers in
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- PI3K/AKT/mTOR signaling in cancer 5
- Glycosylation and Glycoproteins Research 4
- RNA and protein synthesis mechanisms 4
- RNA modifications and cancer 4
- Polyamine Metabolism and Applications 4
- RNA Research and Splicing 2
- Biochemical and Structural Characterization 2
-
- Monoclonal and Polyclonal Antibodies Research 6
- Co-authors
- Christopher G. Proud (5 shared papers)Stefano Biffo (7 shared papers)Xuemin Wang (4 shared papers)Elisa Pesce (3 shared papers)Andrew R. Tee (1 shared paper)Peter M. Taylor (1 shared paper)Annarita Miluzio (3 shared papers)Marta Biagioli (1 shared paper)
In The Last Decade
Anne Beugnet
18 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Cancer Research 700
- Molecular Biology 1.7k
- Aging 18
- Cell Biology 151
- Endocrinology 43
Countries citing papers authored by Anne Beugnet
This map shows the geographic impact of Anne Beugnet'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 Anne Beugnet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne Beugnet more than expected).
Fields of papers citing papers by Anne Beugnet
This network shows the impact of papers produced by Anne Beugnet. 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 Anne Beugnet. The network helps show where Anne Beugnet may publish in the future.
Co-authors
The 25 scholars most cited alongside Anne Beugnet, 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 | Long non-coding antisense RNA controls Uchl1 translation through an embedded SINEB2 repeat Hit paper breakdown → | 2012 | 783 |
| 2 | 2003 | 245 | |
| 3 | 2008 | 179 | |
| 4 | 2005 | 174 | |
| 5 | 2003 | 99 | |
| 6 | 2009 | 91 | |
| 7 | 2003 | 86 | |
| 8 | 2011 | 78 | |
| 9 | 2012 | 64 | |
| 10 | 2014 | 61 | |
| 11 | 2015 | 53 | |
| 12 | 2002 | 39 | |
| 13 | 2017 | 22 | |
| 14 | 2011 | 21 | |
| 15 | 2014 | 21 | |
| 16 | 2010 | 9 | |
| 17 | 2020 | 7 | |
| 18 | 2015 | 6 | |
| 19 | 2014 | 0 |
About Anne Beugnet
Anne Beugnet is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Organic Chemistry and Genetics, having authored 19 papers that have together received 2.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Glycosylation and Glycoproteins Research (4 papers), RNA and protein synthesis mechanisms (4 papers), RNA modifications and cancer (4 papers), Polyamine Metabolism and Applications (4 papers), RNA Research and Splicing (2 papers) and Biochemical and Structural Characterization (2 papers). The work is most often cited by research in Cancer Research (700 citations), Molecular Biology (1.7k citations), Aging (18 citations), Cell Biology (151 citations) and Endocrinology (43 citations). Anne Beugnet has collaborated with scholars based in Italy, France and Slovenia. Frequent co-authors include Christopher G. Proud, Stefano Biffo, Xuemin Wang, Elisa Pesce, Andrew R. Tee, Peter M. Taylor, Annarita Miluzio, Marta Biagioli, Isidró Ferrer and Piero Carninci. Their work appears in journals such as Biochemical Journal, Nature, Microbial Cell Factories, Molecular and Cellular Biology and iScience.
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.