Frédéric Davi
Impact in
- Genetics top 0.1%
- Chronic Lymphocytic Leukemia Research
- Pathology and Forensic Medicine top 0.05%
- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 153
- Chronic Lymphocytic Leukemia Research 147
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- Lymphoma Diagnosis and Treatment 128
- Co-authors
- Hélène Merle‐Béral (30 shared papers)Κώστας Σταματόπουλος (37 shared papers)Frédéric Charlotte (14 shared papers)Martine Raphaël (16 shared papers)Richard Rosenquist (26 shared papers)Paolo Ghia (25 shared papers)Richard Dorent (4 shared papers)Chrysoula Belessi (19 shared papers)
In The Last Decade
Frédéric Davi
208 papers receiving 11.6k citations
Frédéric Davi's Hit Papers
Peers
Comparison fields: 5 of 116
- Genetics 5.4k
- Pathology and Forensic Medicine 6.2k
- Immunology 3.3k
- Oncology 3.5k
- Hematology 1.2k
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 217 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Design and standardization of PCR primers and protocols for detection of clonal immunoglobulin and T-cell receptor gene recombinations in suspect lymphoproliferations: Report of the BIOMED-2 Concerted Action BMH4-CT98-3936 Hit paper breakdown → | 2003 | 2613 |
| 2 | 2006 | 421 | |
| 3 | 2012 | 410 | |
| 4 | 2012 | 329 | |
| 5 | 1998 | 299 | |
| 6 | 2006 | 246 | |
| 7 | 2006 | 238 | |
| 8 | 1995 | 230 | |
| 9 | 2006 | 207 | |
| 10 | 2019 | 204 | |
| 11 | 2006 | 204 | |
| 12 | 2001 | 185 | |
| 13 | 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 | 171 |
| 14 | 2018 | 163 | |
| 15 | 2011 | 144 | |
| 16 | 2007 | 132 | |
| 17 | 1996 | 131 | |
| 18 | 2015 | 130 | |
| 19 | 2002 | 129 | |
| 20 | 2000 | 115 |
About Frédéric Davi
Frédéric Davi is a scholar working on Genetics, Pathology and Forensic Medicine, Immunology, Oncology and Neurology, having authored 217 papers that have together received 12.0k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (147 papers), Lymphoma Diagnosis and Treatment (128 papers), Immunodeficiency and Autoimmune Disorders (67 papers), Viral-associated cancers and disorders (35 papers), Monoclonal and Polyclonal Antibodies Research (28 papers), CNS Lymphoma Diagnosis and Treatment (24 papers), Glycosylation and Glycoproteins Research (16 papers) and Advanced Breast Cancer Therapies (9 papers). The work is most often cited by research in Genetics (5.4k citations), Pathology and Forensic Medicine (6.2k citations), Immunology (3.3k citations), Oncology (3.5k citations) and Hematology (1.2k citations). Frédéric Davi has collaborated with scholars based in France, Greece and Sweden. Frequent co-authors include Hélène Merle‐Béral, Κώστας Σταματόπουλος, Frédéric Charlotte, Martine Raphaël, Richard Rosenquist, Paolo Ghia, Richard Dorent, Chrysoula Belessi, V. Leblond and Laurent Sutton. Their work appears in journals such as Blood, Leukemia, Haematologica, British Journal of Haematology 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.