Florence Beckerich
Impact in
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
- Hematology 10
- Hematopoietic Stem Cell Transplantation 8
- Blood groups and transfusion 2
- Epidemiology 11
- Pneumocystis jirovecii pneumonia detection and treatment 3
- Co-authors
- Sébastien Maury (18 shared papers)Rabah Redjoul (15 shared papers)Catherine Cordonnier (13 shared papers)Christine Robin (12 shared papers)Cécile Pautas (13 shared papers)Slim Fourati (4 shared papers)Anne Le Bouter (2 shared papers)Andréa Toma (8 shared papers)
In The Last Decade
Florence Beckerich
22 papers receiving 399 citations
Peers
Comparison fields: 5 of 48
- Hematology 96
- Infectious Diseases 129
- Transplantation 18
- Epidemiology 159
- Applied Microbiology and Biotechnology 7
Countries citing papers authored by Florence Beckerich
This map shows the geographic impact of Florence Beckerich'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 Florence Beckerich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florence Beckerich more than expected).
Fields of papers citing papers by Florence Beckerich
This network shows the impact of papers produced by Florence Beckerich. 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 Florence Beckerich. The network helps show where Florence Beckerich may publish in the future.
Co-authors
The 25 scholars most cited alongside Florence Beckerich, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 79 | |
| 2 | 2016 | 60 | |
| 3 | 2018 | 47 | |
| 4 | 2017 | 39 | |
| 5 | 2015 | 23 | |
| 6 | 2017 | 22 | |
| 7 | 2014 | 19 | |
| 8 | 2017 | 17 | |
| 9 | 2019 | 14 | |
| 10 | 2017 | 13 | |
| 11 | 2020 | 12 | |
| 12 | 2018 | 11 | |
| 13 | 2019 | 10 | |
| 14 | 2022 | 10 | |
| 15 | 2014 | 9 | |
| 16 | 2017 | 9 | |
| 17 | 2025 | 3 | |
| 18 | 2020 | 3 | |
| 19 | 2021 | 3 | |
| 20 | 2022 | 3 |
About Florence Beckerich
Florence Beckerich is a scholar working on Hematology, Epidemiology, Infectious Diseases, Genetics and Transplantation, having authored 25 papers that have together received 408 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (8 papers), COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), Hemoglobinopathies and Related Disorders (3 papers), Renal Transplantation Outcomes and Treatments (2 papers), Blood groups and transfusion (2 papers) and HIV/AIDS drug development and treatment (2 papers). The work is most often cited by research in Hematology (96 citations), Infectious Diseases (129 citations), Transplantation (18 citations), Epidemiology (159 citations) and Applied Microbiology and Biotechnology (7 citations). Florence Beckerich has collaborated with scholars based in France, Belgium and Algeria. Frequent co-authors include Sébastien Maury, Rabah Redjoul, Catherine Cordonnier, Christine Robin, Cécile Pautas, Slim Fourati, Anne Le Bouter, Andréa Toma, Mathieu Leclerc and Ludovic Cabanne. Their work appears in journals such as Transplantation and Cellular Therapy, Blood, American Journal of Hematology, Journal of Hematology & Oncology and JAMA Network Open.
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.