Aurélien Griffon
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
-
- Cancer-related molecular mechanisms research
Papers in
-
- Genomics and Chromatin Dynamics 4
- RNA Research and Splicing 2
- Genomics and Phylogenetic Studies 2
- Epigenetics and DNA Methylation 1
-
- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
- Co-authors
- Salvatore Spicuglia (7 shared papers)Laurent Vanhille (5 shared papers)Benoît Ballester (2 shared papers)Lan T.M. Dao (3 shared papers)Jacques van Helden (2 shared papers)Nicolas Fernandez (2 shared papers)Jean‐Christophe Andrau (3 shared papers)Joaquin Zacarías-Cabeza (3 shared papers)
- Journals
- Nucleic Acids Research (2 papers)Nature Communications (1 paper)The Journal of Immunology (1 paper)Nature Genetics (1 paper)BMC Genomics (1 paper)
- Partner nations
- FranceUnited KingdomSpain
In The Last Decade
Aurélien Griffon
12 papers receiving 711 citations
Peers
Comparison fields: 5 of 68
- Aging 117
- Cancer Research 97
- Molecular Biology 473
- Immunology 114
- Molecular Medicine 26
Countries citing papers authored by Aurélien Griffon
This map shows the geographic impact of Aurélien Griffon'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 Aurélien Griffon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aurélien Griffon more than expected).
Fields of papers citing papers by Aurélien Griffon
This network shows the impact of papers produced by Aurélien Griffon. 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 Aurélien Griffon. The network helps show where Aurélien Griffon may publish in the future.
Co-authors
The 25 scholars most cited alongside Aurélien Griffon, 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 | 2017 | 177 | |
| 2 | 2011 | 143 | |
| 3 | 2015 | 110 | |
| 4 | 2013 | 84 | |
| 5 | 2014 | 78 | |
| 6 | 2013 | 45 | |
| 7 | 2015 | 36 | |
| 8 | 2019 | 28 | |
| 9 | 2022 | 6 | |
| 10 | 2015 | 3 | |
| 11 | 2026 | 2 | |
| 12 | 2022 | 1 |
About Aurélien Griffon
Aurélien Griffon is a scholar working on Molecular Biology, Immunology, Ecology, Infectious Diseases and Oncology, having authored 12 papers that have together received 713 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), RNA Research and Splicing (2 papers), T-cell and B-cell Immunology (2 papers), Genomics and Phylogenetic Studies (2 papers), Immune Cell Function and Interaction (2 papers), Antibiotic Resistance in Bacteria (1 paper), Epigenetics and DNA Methylation (1 paper) and Plant Molecular Biology Research (1 paper). The work is most often cited by research in Aging (117 citations), Cancer Research (97 citations), Molecular Biology (473 citations), Immunology (114 citations) and Molecular Medicine (26 citations). Aurélien Griffon has collaborated with scholars based in France, United Kingdom and Spain. Frequent co-authors include Salvatore Spicuglia, Laurent Vanhille, Benoît Ballester, Lan T.M. Dao, Jacques van Helden, Nicolas Fernandez, Jean‐Christophe Andrau, Joaquin Zacarías-Cabeza, Muhammad Ahmad Maqbool and R Waterston. Their work appears in journals such as Nucleic Acids Research, Nature Communications, The Journal of Immunology, Nature Genetics and BMC Genomics.
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.