F Davi
Impact in
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
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- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 12
- Chronic Lymphocytic Leukemia Research 12
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- Immunodeficiency and Autoimmune Disorders 5
- Immune Cell Function and Interaction 3
- Co-authors
- Hélène Merle‐Béral (4 shared papers)Christopher D. Gocke (1 shared paper)Christophe de Romeuf (2 shared papers)Vincent Vieillard (2 shared papers)Jeffrey L. Sklar (1 shared paper)Magali Le Garff‐Tavernier (2 shared papers)Stephen Dale Smith (1 shared paper)Κώστας Σταματόπουλος (2 shared papers)
- Journals
- Leukemia (7 papers)Haematologica (4 papers)Blood (3 papers)European Journal of Immunology (1 paper)PubMed (1 paper)
In The Last Decade
F Davi
16 papers receiving 509 citations
Peers
Comparison fields: 5 of 46
- Genetics 267
- Pathology and Forensic Medicine 254
- Immunology 178
- Hematology 72
- Oncology 110
Countries citing papers authored by F Davi
This map shows the geographic impact of F 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 F Davi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F Davi more than expected).
Fields of papers citing papers by F Davi
This network shows the impact of papers produced by F 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 F Davi. The network helps show where F Davi may publish in the future.
Co-authors
The 25 scholars most cited alongside F 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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 99 | |
| 2 | 2014 | 57 | |
| 3 | 2013 | 55 | |
| 4 | 2010 | 52 | |
| 5 | 2017 | 50 | |
| 6 | 2008 | 38 | |
| 7 | 2016 | 36 | |
| 8 | 1996 | 34 | |
| 9 | 1994 | 33 | |
| 10 | 2006 | 31 | |
| 11 | 2012 | 19 | |
| 12 | 2009 | 10 | |
| 13 | [Acute leukemia with translocation (8;16)]. | 1988 | 3 |
| 14 | No Improvement In Long-Term Overall Survival After The Introduction Of Chemo(Immuno)Therapy For Chronic Lymphocytic Leukemia Patients Belonging To Stereotyped Subset #2 | 2016 | 1 |
| 15 | MULTI-CENTER VALIDATION OF STANDARDIZED NGS ASSAYS FOR REARRANGED IG / TR MARKER DETECTION IN ACUTE LYMPHOBLASTIC LEUKEMIA - A REPORT OF THE EUROCLONALITY-NGS CONSORTIUM | 2017 | 1 |
| 16 | 1994 | 1 |
About F Davi
F Davi is a scholar working on Genetics, Immunology, Pathology and Forensic Medicine, Hematology and Oncology, having authored 16 papers that have together received 520 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (12 papers), Lymphoma Diagnosis and Treatment (6 papers), Immunodeficiency and Autoimmune Disorders (5 papers), Immune Cell Function and Interaction (3 papers), DNA Repair Mechanisms (2 papers), Telomeres, Telomerase, and Senescence (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Genetics (267 citations), Pathology and Forensic Medicine (254 citations), Immunology (178 citations), Hematology (72 citations) and Oncology (110 citations). F Davi has collaborated with scholars based in France, Greece and Czechia. Frequent co-authors include Hélène Merle‐Béral, Christopher D. Gocke, Christophe de Romeuf, Vincent Vieillard, Jeffrey L. Sklar, Magali Le Garff‐Tavernier, Stephen Dale Smith, Κώστας Σταματόπουλος, Chrysoula Belessi and Paolo Ghia. Their work appears in journals such as Leukemia, Haematologica, Blood, European Journal of Immunology and PubMed.
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.