Clément d’Audigier
Impact in
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- Mesenchymal stem cell research
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- Cancer, Hypoxia, and Metabolism
Papers in
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- Angiogenesis and VEGF in Cancer 6
- Genetics 3
- 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 (8 shared papers)Ivan Bièche (6 shared papers)Solène Evrard (4 shared papers)Blandine Dizier (5 shared papers)Dominique Israël‐Biet (3 shared papers)Coralie L. Guérin (5 shared papers)
In The Last Decade
Clément d’Audigier
15 papers receiving 429 citations
Peers
Comparison fields: 5 of 54
- Genetics 62
- Cancer Research 64
- Internal Medicine 12
- Pulmonary and Respiratory Medicine 95
- Molecular Biology 209
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 | 55 | |
| 3 | 2012 | 45 | |
| 4 | 2010 | 44 | |
| 5 | 2012 | 41 | |
| 6 | 2013 | 40 | |
| 7 | 2008 | 26 | |
| 8 | 2015 | 26 | |
| 9 | 2013 | 21 | |
| 10 | 2017 | 21 | |
| 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, Hematology and Genetics, having authored 15 papers that have together received 433 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (6 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Blood disorders and treatments (2 papers), Venous Thromboembolism Diagnosis and Management (1 paper), Heparin-Induced Thrombocytopenia and Thrombosis (1 paper) and Acute Myocardial Infarction Research (1 paper). The work is most often cited by research in Genetics (62 citations), Cancer Research (64 citations), Internal Medicine (12 citations), Pulmonary and Respiratory Medicine (95 citations) and Molecular Biology (209 citations). Clément d’Audigier has collaborated with scholars based in France, Belgium and Brazil. Frequent co-authors include David M. Smadja, Pascale Gaussem, Laëtitia Mauge, Ivan Bièche, Solène Evrard, Blandine Dizier, Dominique Israël‐Biet, Coralie L. Guérin, Joseph Emmerich and Patrick Bruneval. Their work appears in journals such as Angiogenesis, Arteriosclerosis Thrombosis and Vascular Biology, Stem Cells, Cytotherapy and Journal of Cellular and Molecular Medicine.
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.