Frédéric Davi
Impact in
- Genetics top 0.2%
- Chronic Lymphocytic Leukemia Research
- Pathology and Forensic Medicine top 0.2%
- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 79
- Chronic Lymphocytic Leukemia Research 73
-
- Lymphoma Diagnosis and Treatment 72
- Co-authors
- Hélène Merle‐Béral (28 shared papers)Frédéric Charlotte (14 shared papers)Martine Raphaël (16 shared papers)Richard Dorent (4 shared papers)V. Leblond (3 shared papers)Laurent Sutton (5 shared papers)Marc‐Olivier Bitker (2 shared papers)Κώστας Σταματόπουλος (30 shared papers)
In The Last Decade
Frédéric Davi
125 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 92
- Genetics 1.7k
- Pathology and Forensic Medicine 2.0k
- Oncology 1.6k
- Immunology 1.1k
- Neurology 616
Countries citing papers authored by Frédéric Davi
This map shows the geographic impact of Frédéric Davi'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 Frédéric Davi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Davi more than expected).
Fields of papers citing papers by Frédéric Davi
This network shows the impact of papers produced by Frédéric Davi. 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 Frédéric Davi. The network helps show where Frédéric Davi may publish in the future.
Co-authors
The 25 scholars most cited alongside Frédéric Davi, 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 132 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 291 | |
| 2 | 1995 | 226 | |
| 3 | 2001 | 172 | |
| 4 | Description of a novel FR1 IgH PCR strategy and its comparison with three other strategies for the detection of clonality in B cell malignancies. | 1995 | 168 |
| 5 | 1996 | 131 | |
| 6 | 2002 | 126 | |
| 7 | 2018 | 122 | |
| 8 | 2000 | 113 | |
| 9 | 2009 | 102 | |
| 10 | 2004 | 96 | |
| 11 | 1998 | 92 | |
| 12 | 2016 | 91 | |
| 13 | 2009 | 89 | |
| 14 | 1994 | 87 | |
| 15 | 2004 | 87 | |
| 16 | 1997 | 86 | |
| 17 | 2000 | 84 | |
| 18 | 2007 | 81 | |
| 19 | 2016 | 74 | |
| 20 | 2013 | 74 |
About Frédéric Davi
Frédéric Davi is a scholar working on Genetics, Pathology and Forensic Medicine, Immunology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 132 papers that have together received 4.5k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (73 papers), Lymphoma Diagnosis and Treatment (72 papers), Immunodeficiency and Autoimmune Disorders (29 papers), Viral-associated cancers and disorders (25 papers), Monoclonal and Polyclonal Antibodies Research (22 papers), CNS Lymphoma Diagnosis and Treatment (18 papers), Glycosylation and Glycoproteins Research (8 papers) and T-cell and B-cell Immunology (6 papers). The work is most often cited by research in Genetics (1.7k citations), Pathology and Forensic Medicine (2.0k citations), Oncology (1.6k citations), Immunology (1.1k citations) and Neurology (616 citations). Frédéric Davi has collaborated with scholars based in France, Greece and Sweden. Frequent co-authors include Hélène Merle‐Béral, Frédéric Charlotte, Martine Raphaël, Richard Dorent, V. Leblond, Laurent Sutton, Marc‐Olivier Bitker, Κώστας Σταματόπουλος, Guillaume Dighiero and Christian Magnac. Their work appears in journals such as Blood, Leukemia, British Journal of Haematology, Journal of Clinical Oncology and American Journal of Hematology.
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.