Franck Bernardi
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
- Genomic variations and chromosomal abnormalities
Papers in
- Hematology 10
- Multiple Myeloma Research and Treatments 10
- Acute Myeloid Leukemia Research 1
-
- Glycosylation and Glycoproteins Research 2
- Amyloidosis: Diagnosis, Treatment, Outcomes 2
- Co-authors
- Marc Zandecki (9 shared papers)Thierry Façon (8 shared papers)F Bauters (7 shared papers)M Flactif (5 shared papers)JL Laï (1 shared paper)Pierre Morel (1 shared paper)J.P. Jouet (1 shared paper)Alain Cosson (4 shared papers)
In The Last Decade
Franck Bernardi
15 papers receiving 499 citations
Peers
Comparison fields: 5 of 38
- Hematology 378
- Genetics 134
- Oncology 129
- Molecular Biology 290
- Pathology and Forensic Medicine 51
Countries citing papers authored by Franck Bernardi
This map shows the geographic impact of Franck Bernardi'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 Franck Bernardi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franck Bernardi more than expected).
Fields of papers citing papers by Franck Bernardi
This network shows the impact of papers produced by Franck Bernardi. 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 Franck Bernardi. The network helps show where Franck Bernardi may publish in the future.
Co-authors
The 25 scholars most cited alongside Franck Bernardi, 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 | 1995 | 185 | |
| 2 | Interphase fluorescence in situ hybridization (FISH) as a powerful tool for the detection of aneuploidy in multiple myeloma. | 1995 | 66 |
| 3 | 1995 | 50 | |
| 4 | 1997 | 46 | |
| 5 | 1982 | 44 | |
| 6 | 1983 | 36 | |
| 7 | 1994 | 24 | |
| 8 | 1995 | 24 | |
| 9 | 2017 | 14 | |
| 10 | 1981 | 9 | |
| 11 | Involvement of peripheral blood cells in multiple myeloma: chromosome changes are the rule within circulating plasma cells but not within B lymphocytes. | 1997 | 9 |
| 12 | 1997 | 7 | |
| 13 | 2021 | 5 | |
| 14 | 1994 | 3 | |
| 15 | [2:12 (p25;q21) translocation classed at first as 2/X]. | 1975 | 1 |
About Franck Bernardi
Franck Bernardi is a scholar working on Hematology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Genetics and Plant Science, having authored 15 papers that have together received 523 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (10 papers), Chromosomal and Genetic Variations (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Genomic variations and chromosomal abnormalities (3 papers), Glycosylation and Glycoproteins Research (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Hematology (378 citations), Genetics (134 citations), Oncology (129 citations), Molecular Biology (290 citations) and Pathology and Forensic Medicine (51 citations). Franck Bernardi has collaborated with scholars based in France and Italy. Frequent co-authors include Marc Zandecki, Thierry Façon, F Bauters, M Flactif, JL Laï, Pierre Morel, J.P. Jouet, Alain Cosson, J L Laï and Franck Geneviève. Their work appears in journals such as Blood, Molecular Cytogenetics, Human Genetics, Journal of Clinical Pathology and British Journal of Haematology.
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.