Emmanuel Beaudoing
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Molecular Biology top 10%
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
Papers in
- Co-authors
- Daniel GautheretJean‐Michel ClaverieSusan M. FreierJacqueline R. WyattJean KanellopoulosArmanda CasrougePhilippe KourilskyStéphane Dalle
- Journals
- BMC Genomics (2 papers)Genome Research (2 papers)The Journal of Immunology (1 paper)Pigment Cell & Melanoma Research (1 paper)Molecular Ecology (1 paper)
- Partner nations
- FranceSwitzerlandUnited States
In The Last Decade
Emmanuel Beaudoing
13 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Immunology 313
- Molecular Biology 783
- Cancer Research 147
- Genetics 85
- Epidemiology 103
Countries citing papers authored by Emmanuel Beaudoing
This map shows the geographic impact of Emmanuel Beaudoing'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 Emmanuel Beaudoing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emmanuel Beaudoing more than expected).
Fields of papers citing papers by Emmanuel Beaudoing
This network shows the impact of papers produced by Emmanuel Beaudoing. 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 Emmanuel Beaudoing. The network helps show where Emmanuel Beaudoing may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Emmanuel Beaudoing, 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 | 2021 | 14 | |
| 3 | 2018 | 14 | |
| 4 | 2017 | 48 | |
| 5 | 2016 | 6 | |
| 6 | 2011 | 24 | |
| 7 | 2010 | 83 | |
| 8 | 2007 | 10 | |
| 9 | 2006 | 4 | |
| 10 | 2002 | 31 | |
| 11 | 2001 | 145 | |
| 12 | 2000 | 237 | |
| 13 | Patterns of Variant Polyadenylation Signal Usage in Human Genes Hit paper breakdown → | 2000 | 544 |
| 14 | 1998 | 41 |
About Emmanuel Beaudoing
Emmanuel Beaudoing is a scholar working on Microbiology, Endocrine and Autonomic Systems, Cancer Research, Molecular Biology and Genetics, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (3 papers), Immune Cell Function and Interaction (2 papers), Genomics and Phylogenetic Studies (2 papers), RNA modifications and cancer (2 papers), Immunotherapy and Immune Responses (2 papers), Chromosomal and Genetic Variations (2 papers), Genetic diversity and population structure (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Immunology (313 citations), Molecular Biology (783 citations), Cancer Research (147 citations), Genetics (85 citations) and Epidemiology (103 citations). Emmanuel Beaudoing has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Daniel Gautheret, Jean‐Michel Claverie, Susan M. Freier, Jacqueline R. Wyatt, Jean Kanellopoulos, Armanda Casrouge, Philippe Kourilsky, Stéphane Dalle, Christophe Pannetier and Van Du T. Tran. Their work appears in journals such as BMC Genomics, Genome Research, The Journal of Immunology, Pigment Cell & Melanoma Research and Molecular Ecology.
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.