J. Rosa
Impact in
- Genetics top 0.5%
- Hemoglobinopathies and Related Disorders
- Hematology top 1%
- Iron Metabolism and Disorders
- Blood groups and transfusion
Papers in ⓘ
- Genetics 73
- Hemoglobinopathies and Related Disorders 73
- Cell Biology 69
- Hemoglobin structure and function 69
- Co-authors
- Yves Beuzard (22 shared papers)Paul Basset (6 shared papers)Y. Blouquit (44 shared papers)R Rosa (11 shared papers)Frédéric Galactéros (32 shared papers)N. Arous (32 shared papers)M.C. Garel (16 shared papers)Martine Cohen‐Solal (15 shared papers)
- Journals
- FEBS Letters (16 papers)Journal of Biological Chemistry (10 papers)Blood (7 papers)Biochemical and Biophysical Research Communications (6 papers)Human Genetics (4 papers)
- Partner nations
- FranceTunisiaUnited States
In The Last Decade
J. Rosa
115 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 103
- Genetics 1.2k
- Hematology 690
- Cell Biology 791
- Physiology 663
- Pediatrics, Perinatology and Child Health 446
Countries citing papers authored by J. Rosa
This map shows the geographic impact of J. Rosa'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 J. Rosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Rosa more than expected).
Fields of papers citing papers by J. Rosa
This network shows the impact of papers produced by J. Rosa. 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 J. Rosa. The network helps show where J. Rosa may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Rosa, 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 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1978 | 308 | |
| 2 | 1988 | 95 | |
| 3 | 1978 | 93 | |
| 4 | 1980 | 80 | |
| 5 | 1986 | 76 | |
| 6 | 1988 | 74 | |
| 7 | 1973 | 58 | |
| 8 | 1982 | 48 | |
| 9 | 1993 | 47 | |
| 10 | 1980 | 47 | |
| 11 | 1969 | 44 | |
| 12 | 1972 | 39 | |
| 13 | 1980 | 38 | |
| 14 | 1982 | 37 | |
| 15 | 1985 | 35 | |
| 16 | 1987 | 32 | |
| 17 | 1991 | 31 | |
| 18 | 1976 | 30 | |
| 19 | 1975 | 30 | |
| 20 | 1990 | 27 |
About J. Rosa
J. Rosa is a scholar working on Genetics, Cell Biology, Physiology, Hematology and Pediatrics, Perinatology and Child Health, having authored 116 papers that have together received 2.2k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (73 papers), Hemoglobin structure and function (69 papers), Erythrocyte Function and Pathophysiology (54 papers), Neonatal Health and Biochemistry (23 papers), Iron Metabolism and Disorders (22 papers), Mass Spectrometry Techniques and Applications (10 papers), Metabolism and Genetic Disorders (6 papers) and Protein Structure and Dynamics (6 papers). The work is most often cited by research in Genetics (1.2k citations), Hematology (690 citations), Cell Biology (791 citations), Physiology (663 citations) and Pediatrics, Perinatology and Child Health (446 citations). J. Rosa has collaborated with scholars based in France, Tunisia and United States. Frequent co-authors include Yves Beuzard, Paul Basset, Y. Blouquit, R Rosa, Frédéric Galactéros, N. Arous, M.C. Garel, Martine Cohen‐Solal, Michel Goossens and F Braconnier. Their work appears in journals such as FEBS Letters, Journal of Biological Chemistry, Blood, Biochemical and Biophysical Research Communications and Human Genetics.
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.