Marc Aubry
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
Papers in
-
- Epigenetics and DNA Methylation 4
- RNA modifications and cancer 4
- Genetics 14
- Glioma Diagnosis and Treatment 14
- Co-authors
- Jean Mosser (32 shared papers)Marie de Tayrac (12 shared papers)Amandine Etcheverry (21 shared papers)Philippe Meneï (8 shared papers)Stéphan Saïkali (6 shared papers)Véronique Quillien (9 shared papers)Abderrahmane Hamlat (6 shared papers)Anita Burgun (3 shared papers)
- Journals
- PLoS ONE (4 papers)BMC Genomics (3 papers)Oncotarget (3 papers)Scientific Reports (3 papers)Clinical Epigenetics (2 papers)
- Partner nations
- FranceUnited StatesChina
In The Last Decade
Marc Aubry
50 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 116
- Genetics 302
- Cancer Research 335
- Molecular Biology 743
- Biophysics 60
- Oncology 156
Countries citing papers authored by Marc Aubry
This map shows the geographic impact of Marc Aubry'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 Marc Aubry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Aubry more than expected).
Fields of papers citing papers by Marc Aubry
This network shows the impact of papers produced by Marc Aubry. 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 Marc Aubry. The network helps show where Marc Aubry may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Aubry, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 184 | |
| 2 | 2009 | 98 | |
| 3 | 2019 | 89 | |
| 4 | 2008 | 82 | |
| 5 | 2020 | 72 | |
| 6 | 2008 | 72 | |
| 7 | 2004 | 70 | |
| 8 | 2015 | 66 | |
| 9 | 2011 | 62 | |
| 10 | 2015 | 61 | |
| 11 | 2012 | 51 | |
| 12 | 2014 | 48 | |
| 13 | 2020 | 44 | |
| 14 | 2012 | 43 | |
| 15 | 2013 | 38 | |
| 16 | 2016 | 38 | |
| 17 | 2011 | 31 | |
| 18 | 2014 | 29 | |
| 19 | 2019 | 29 | |
| 20 | 2018 | 23 |
About Marc Aubry
Marc Aubry is a scholar working on Molecular Biology, Genetics, Cancer Research, Hematology and Cell Biology, having authored 50 papers that have together received 1.5k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (14 papers), Cancer Genomics and Diagnostics (4 papers), Epigenetics and DNA Methylation (4 papers), Iron Metabolism and Disorders (4 papers), MicroRNA in disease regulation (4 papers), RNA modifications and cancer (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Genetics (302 citations), Cancer Research (335 citations), Molecular Biology (743 citations), Biophysics (60 citations) and Oncology (156 citations). Marc Aubry has collaborated with scholars based in France, United States and China. Frequent co-authors include Jean Mosser, Marie de Tayrac, Amandine Etcheverry, Philippe Meneï, Stéphan Saïkali, Véronique Quillien, Abderrahmane Hamlat, Anita Burgun, Olivier Bodenreider and Élodie Vauléon. Their work appears in journals such as PLoS ONE, BMC Genomics, Oncotarget, Scientific Reports and Clinical Epigenetics.
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.