Ch. Salmon
Impact in
- Hematology top 2%
- Blood groups and transfusion
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Genetics top 10%
- Diabetes and associated disorders
- Hemoglobinopathies and Related Disorders
Papers in
- Hematology 41
- Blood groups and transfusion 37
- Physiology 23
- Erythrocyte Function and Pathophysiology 22
- Co-authors
- P. Rouger (10 shared papers)Jean‐Pierre Cartron (6 shared papers)M. Lopez (8 shared papers)Norbert Claude Gorin (3 shared papers)J Stachowiak (3 shared papers)A Najman (3 shared papers)G Duhamel (3 shared papers)Y Parlier (3 shared papers)
- Journals
- Vox Sanguinis (5 papers)Transfusion (2 papers)British Journal of Haematology (2 papers)The Lancet (2 papers)International Journal of Immunogenetics (2 papers)
- Partner nations
- FranceUnited KingdomMorocco
In The Last Decade
Ch. Salmon
50 papers receiving 514 citations
Peers
Comparison fields: 5 of 60
- Hematology 355
- Genetics 85
- Physiology 167
- Immunology 112
- Transplantation 14
Countries citing papers authored by Ch. Salmon
This map shows the geographic impact of Ch. Salmon'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 Ch. Salmon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ch. Salmon more than expected).
Fields of papers citing papers by Ch. Salmon
This network shows the impact of papers produced by Ch. Salmon. 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 Ch. Salmon. The network helps show where Ch. Salmon may publish in the future.
Co-authors
The 25 scholars most cited alongside Ch. Salmon, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1981 | 87 | |
| 2 | 1969 | 53 | |
| 3 | 1984 | 44 | |
| 4 | 1978 | 34 | |
| 5 | 1986 | 32 | |
| 6 | 1978 | 31 | |
| 7 | 1979 | 22 | |
| 8 | 1985 | 20 | |
| 9 | 1981 | 20 | |
| 10 | 1983 | 19 | |
| 11 | 1984 | 18 | |
| 12 | 1978 | 17 | |
| 13 | 1980 | 17 | |
| 14 | 1969 | 14 | |
| 15 | 1970 | 12 | |
| 16 | 1987 | 11 | |
| 17 | 1969 | 10 | |
| 18 | 1977 | 10 | |
| 19 | 1976 | 10 | |
| 20 | Antigen site distribution among weak A' red cell populations. A study of A3, Ax and Aend variants. | 1977 | 9 |
About Ch. Salmon
Ch. Salmon is a scholar working on Hematology, Physiology, Genetics, Epidemiology and Molecular Biology, having authored 59 papers that have together received 589 indexed citations. Recurring topics across this work include Blood groups and transfusion (37 papers), Erythrocyte Function and Pathophysiology (22 papers), Diabetes and associated disorders (9 papers), Hepatitis B Virus Studies (5 papers), Blood transfusion and management (4 papers), Pancreatic function and diabetes (3 papers), Hemoglobinopathies and Related Disorders (3 papers) and Hepatitis C virus research (3 papers). The work is most often cited by research in Hematology (355 citations), Genetics (85 citations), Physiology (167 citations), Immunology (112 citations) and Transplantation (14 citations). Ch. Salmon has collaborated with scholars based in France, United Kingdom and Morocco. Frequent co-authors include P. Rouger, Jean‐Pierre Cartron, M. Lopez, Norbert Claude Gorin, J Stachowiak, A Najman, G Duhamel, Y Parlier, R David and A Gerbal. Their work appears in journals such as Vox Sanguinis, Transfusion, British Journal of Haematology, The Lancet and International Journal of Immunogenetics.
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.