Ch. Salmon

931 citations
62 papers · 641 · h-index 14

Impact in

  • Hematology top 2%
    • Blood groups and transfusion
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Genetics top 10%
    • Diabetes and associated disorders

Papers in

    • Blood groups and transfusion 38
    • Hematopoietic Stem Cell Transplantation 3
    • Erythrocyte Function and Pathophysiology 22

Ch. Salmon

53 papers receiving 557 citations

Peers

Ch. Salmon
Comparison fields: 5 of 59
  • Hematology 382
  • Genetics 84
  • Physiology 167
  • Immunology 112
  • Transplantation 13
Replace Marie C. Crookston with:
Marie C. Crookston Canada
J. H. Crookston Canada
Shigeru Takamoto Japan
B Zupańska Poland
Lisa Gallinaro Italy
Moore Ma United States
Shadduck Rk United States
T Kubo Japan
Ben G. Fishkin United States
Hiroshi Tsutani Japan
Ch. Salmon relative to Marie C. Crookston Canada Marie C. Crookston's profile →
Citations per field
00.5×5.5×
Marie C. Crookston · 1×
Citations per year

Countries citing papers authored by Ch. Salmon

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ch. Salmon Line = papers co-authored together Ch. Salmon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198193
2 196957
3 198445
4 198637
5 197835
6 197835
7 197925
8 198522
9 198122
10 198322
11 198419
12 197819
13 198017
14 196915
15 198712
16 197012
17 197611
18 198611
19 197711
20 196910

About Ch. Salmon

Ch. Salmon is a scholar working on Hematology, Physiology, Genetics, Epidemiology and Molecular Biology, having authored 62 papers that have together received 641 indexed citations. Recurring topics across this work include Blood groups and transfusion (38 papers), Erythrocyte Function and Pathophysiology (22 papers), Diabetes and associated disorders (9 papers), Hepatitis B Virus Studies (6 papers), Blood transfusion and management (5 papers), Glycosylation and Glycoproteins Research (3 papers), T-cell and B-cell Immunology (3 papers) and Hematopoietic Stem Cell Transplantation (3 papers). The work is most often cited by research in Hematology (382 citations), Genetics (84 citations), Physiology (167 citations), Immunology (112 citations) and Transplantation (13 citations). Ch. Salmon has collaborated with scholars based in France, Morocco and United Kingdom. Frequent co-authors include P. Rouger, Jean‐Pierre Cartron, M. Lopez, A Najman, Norbert Claude Gorin, A Gerbal, J CARTRON, R David, J Stachowiak and J.C. Petit. 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.

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