R Rosa
Impact in
- Physiology top 5%
- Erythrocyte Function and Pathophysiology
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism
Papers in
- Physiology 34
- Erythrocyte Function and Pathophysiology 34
-
- Metabolism, Diabetes, and Cancer 7
- Biochemical and Molecular Research 7
- Co-authors
- J. Rosa (11 shared papers)Marie‐Odette Préhu (12 shared papers)Isabelle Max‐Audit (8 shared papers)Jean Rosa (9 shared papers)M. Calvin (15 shared papers)Yves Beuzard (2 shared papers)EF Jr Roth (3 shared papers)Martine Cohen‐Solal (9 shared papers)
- Journals
- Blood (12 papers)Journal of Biological Chemistry (5 papers)Biochemical and Biophysical Research Communications (4 papers)Human Genetics (3 papers)Biochimie (3 papers)
- Partner nations
- FranceUnited StatesJapan
In The Last Decade
R Rosa
59 papers receiving 979 citations
Peers
Comparison fields: 5 of 70
- Physiology 439
- Biochemistry 131
- Genetics 174
- Clinical Biochemistry 79
- Pediatrics, Perinatology and Child Health 188
Countries citing papers authored by R Rosa
This map shows the geographic impact of R 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 R Rosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R Rosa more than expected).
Fields of papers citing papers by R Rosa
This network shows the impact of papers produced by R 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 R Rosa. The network helps show where R Rosa may publish in the future.
Co-authors
The 25 scholars most cited alongside R 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1988 | 96 | |
| 2 | 1978 | 93 | |
| 3 | 1973 | 58 | |
| 4 | 1975 | 45 | |
| 5 | 1982 | 44 | |
| 6 | 1986 | 43 | |
| 7 | 2001 | 37 | |
| 8 | 1994 | 34 | |
| 9 | 1985 | 27 | |
| 10 | 1992 | 27 | |
| 11 | 1985 | 25 | |
| 12 | 1989 | 24 | |
| 13 | 1989 | 24 | |
| 14 | 1990 | 24 | |
| 15 | 1988 | 22 | |
| 16 | 1989 | 22 | |
| 17 | 1984 | 19 | |
| 18 | 1977 | 19 | |
| 19 | 1988 | 19 | |
| 20 | [Diphosphoglyceromutase deficiency: new cases associated with erythrocytosis]. | 1984 | 18 |
About R Rosa
R Rosa is a scholar working on Physiology, Molecular Biology, Pediatrics, Perinatology and Child Health, Surgery and Genetics, having authored 60 papers that have together received 1.0k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (34 papers), Neonatal Health and Biochemistry (11 papers), Amino Acid Enzymes and Metabolism (9 papers), Hemoglobinopathies and Related Disorders (9 papers), Pancreatic function and diabetes (9 papers), Metabolism, Diabetes, and Cancer (7 papers), Biochemical and Molecular Research (7 papers) and Cancer, Hypoxia, and Metabolism (7 papers). The work is most often cited by research in Physiology (439 citations), Biochemistry (131 citations), Genetics (174 citations), Clinical Biochemistry (79 citations) and Pediatrics, Perinatology and Child Health (188 citations). R Rosa has collaborated with scholars based in France, United States and Japan. Frequent co-authors include J. Rosa, Marie‐Odette Préhu, Isabelle Max‐Audit, Jean Rosa, M. Calvin, Yves Beuzard, EF Jr Roth, Martine Cohen‐Solal, V. Joulin and Y. Blouquit. Their work appears in journals such as Blood, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Human Genetics and Biochimie.
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.