Jacques Chiaroni
- Hematology top 1%
- Blood groups and transfusion 72
- Genetics top 2%
- Hemoglobinopathies and Related Disorders 20
- Forensic and Genetic Research 18
- Transplantation top 5%
- Immunology top 5%
- Immune Cell Function and Interaction 19
- T-cell and B-cell Immunology 18
- Reproductive System and Pregnancy 18
- Genetics top 5%
- Hemoglobinopathies and Related Disorders 20
- Forensic and Genetic Research 18
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- Erythrocyte Function and Pathophysiology 43
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- Blood donation and transfusion practices 20
- Co-authors
- Julie Di CristofaroPascal BaillyVirginie FerreraMonique SilvyMhammed TouinssiD RevironChristophe PicardRoy King
- Cited by
- HematologyGeneticsTransplantation
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Jacques Chiaroni
157 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 133
- Hematology 744
- Genetics 830
- Transplantation 72
- Immunology 496
- Genetics 243
Countries citing papers authored by Jacques Chiaroni
This map shows the geographic impact of Jacques Chiaroni'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 Jacques Chiaroni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacques Chiaroni more than expected).
Fields of papers citing papers by Jacques Chiaroni
This network shows the impact of papers produced by Jacques Chiaroni. 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 Jacques Chiaroni. The network helps show where Jacques Chiaroni may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jacques Chiaroni, 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 | 2025 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 9 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 0 | |
| 9 | 2021 | 1 | |
| 10 | 2020 | 3 | |
| 11 | 2020 | 4 | |
| 12 | 2019 | 1 | |
| 13 | 2019 | 5 | |
| 14 | 2019 | 20 | |
| 15 | 2018 | 5 | |
| 16 | 2017 | 2 | |
| 17 | RH diversity in Mali: Characterization of a new haplotype RHD*DIVa/RHCE*ceTI(D2) | 2016 | 0 |
| 18 | 2012 | 34 | |
| 19 | 2010 | 32 | |
| 20 | 2003 | 1 |
About Jacques Chiaroni
Jacques Chiaroni is a scholar working on Hematology, Transplantation, Management of Technology and Innovation, Biochemistry and Genetics, having authored 169 papers that have together received 2.4k indexed citations. Recurring topics across this work include Blood groups and transfusion (72 papers), Erythrocyte Function and Pathophysiology (43 papers), Hemoglobinopathies and Related Disorders (20 papers), Blood donation and transfusion practices (20 papers), Immune Cell Function and Interaction (19 papers), Forensic and Genetic Research (18 papers), T-cell and B-cell Immunology (18 papers) and Reproductive System and Pregnancy (18 papers). The work is most often cited by research in Hematology (744 citations), Genetics (830 citations), Transplantation (72 citations), Immunology (496 citations) and Genetics (243 citations). Jacques Chiaroni has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Julie Di Cristofaro, Pascal Bailly, Virginie Ferrera, Monique Silvy, Mhammed Touinssi, D Reviron, Christophe Picard, Roy King, Philippe de Micco and Peter A. Underhill. Their work appears in journals such as Transfusion, HLA, PLoS ONE, Frontiers in Immunology 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.