Clément d’Audigier
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
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- Cancer, Hypoxia, and Metabolism
Papers in
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- Angiogenesis and VEGF in Cancer 8
- Kruppel-like factors research 2
- Genetics 5
- Mesenchymal stem cell research 2
- Chronic Lymphocytic Leukemia Research 2
- Blood disorders and treatments 2
- Co-authors
- David M. Smadja (11 shared papers)Pascale Gaussem (10 shared papers)Laëtitia Mauge (7 shared papers)Ivan Bièche (6 shared papers)Dominique Israël‐Biet (3 shared papers)Solène Evrard (4 shared papers)Blandine Dizier (5 shared papers)Coralie L. Guérin (5 shared papers)
In The Last Decade
Clément d’Audigier
15 papers receiving 423 citations
Peers
Comparison fields: 5 of 60
- Genetics 84
- Cancer Research 68
- Immunology and Allergy 26
- Molecular Biology 228
- Pulmonary and Respiratory Medicine 108
Countries citing papers authored by Clément d’Audigier
This map shows the geographic impact of Clément d’Audigier'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 Clément d’Audigier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clément d’Audigier more than expected).
Fields of papers citing papers by Clément d’Audigier
This network shows the impact of papers produced by Clément d’Audigier. 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 Clément d’Audigier. The network helps show where Clément d’Audigier may publish in the future.
Co-authors
The 25 scholars most cited alongside Clément d’Audigier, 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 | 2010 | 89 | |
| 2 | 2010 | 54 | |
| 3 | 2010 | 44 | |
| 4 | 2012 | 43 | |
| 5 | 2013 | 40 | |
| 6 | 2012 | 39 | |
| 7 | 2015 | 26 | |
| 8 | 2008 | 26 | |
| 9 | 2017 | 21 | |
| 10 | 2013 | 20 | |
| 11 | 2014 | 15 | |
| 12 | 2015 | 6 | |
| 13 | [Validation of a Bruton's disease genetic analysis method]. | 2007 | 2 |
| 14 | 2022 | 1 | |
| 15 | [Primary immunodeficiencies and Bruton's disease genetic analysis: which prospects offers this genetic diagnosis?]. | 2007 | 1 |
About Clément d’Audigier
Clément d’Audigier is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Surgery and Cardiology and Cardiovascular Medicine, having authored 15 papers that have together received 427 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (8 papers), Kruppel-like factors research (2 papers), Mesenchymal stem cell research (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Pulmonary Hypertension Research and Treatments (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Blood disorders and treatments (2 papers) and Zebrafish Biomedical Research Applications (2 papers). The work is most often cited by research in Genetics (84 citations), Cancer Research (68 citations), Immunology and Allergy (26 citations), Molecular Biology (228 citations) and Pulmonary and Respiratory Medicine (108 citations). Clément d’Audigier has collaborated with scholars based in France, Belgium and Australia. Frequent co-authors include David M. Smadja, Pascale Gaussem, Laëtitia Mauge, Ivan Bièche, Dominique Israël‐Biet, Solène Evrard, Blandine Dizier, Coralie L. Guérin, Joseph Emmerich and Ingrid Laurendeau. Their work appears in journals such as Angiogenesis, Arteriosclerosis Thrombosis and Vascular Biology, Stem Cells, Journal of Clinical Medicine and Cytotherapy.
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.