C. Ropars

73 papers receiving 724 citations

Peers

C. Ropars
Comparison fields: 5 of 84
  • Hematology 191
  • Physiology 342
  • Pediatrics, Perinatology and Child Health 118
  • Genetics 56
  • Immunology 98
Replace Orlando J. Martelo with:
Orlando J. Martelo United States
M. H. Freedman Canada
Claude Vigneron France
William A. Skoog United States
Ruth L. Goodland United States
Huaiping Yuan United States
W.L. van Noort Netherlands
J P Andreux France
Young Yiul Lee South Korea
Noriko Satake United States
C. Ropars relative to Orlando J. Martelo United States Orlando J. Martelo's profile →
Citations per field
00.5×
Orlando J. Martelo · 1×
Citations per year

Countries citing papers authored by C. Ropars

Since Specialization
Citations

This map shows the geographic impact of C. Ropars'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 C. Ropars with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Ropars more than expected).

Fields of papers citing papers by C. Ropars

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Ropars. 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 C. Ropars. The network helps show where C. Ropars may publish in the future.

Co-authors

The 25 scholars most cited alongside C. Ropars, 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 C. Ropars Line = papers co-authored together C. Ropars links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199069
2 199648
3 199646
4 197543
5 198543
6 198241
7 198734
8 199023
9 198923
10 196520
11 197619
12 198518
13
Groups of alpha-D-galactosyl transferase activity in sera of individuals with normal B phenotype.
197417
14 198916
15 198716
16 197615
17
Quantitative and thermodynamic measurements on I and i antigens of human red blood cells.
197614
18 198513
19 199213
20 197412

About C. Ropars

C. Ropars is a scholar working on Physiology, Molecular Biology, Hematology, Pediatrics, Perinatology and Child Health and Immunology, having authored 78 papers that have together received 788 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (28 papers), Neonatal Health and Biochemistry (16 papers), Blood groups and transfusion (16 papers), Hemoglobin structure and function (10 papers), Immunodeficiency and Autoimmune Disorders (9 papers), Glycosylation and Glycoproteins Research (7 papers), Hemoglobinopathies and Related Disorders (6 papers) and Pancreatic function and diabetes (6 papers). The work is most often cited by research in Hematology (191 citations), Physiology (342 citations), Pediatrics, Perinatology and Child Health (118 citations), Genetics (56 citations) and Immunology (98 citations). C. Ropars has collaborated with scholars based in France, Switzerland and Italy. Frequent co-authors include M Chassaigne, C Salmon, Roger Kravtzoff, B Teisseire, C Doînel, C. Nicolau, J.P. Müh, Jean‐Pierre Cartron, Josette Badet and A Gerbal. Their work appears in journals such as Vox Sanguinis, European Journal of Clinical Pharmacology, Biotechnology and Applied Biochemistry, Alcohol and Alcoholism and Advances in experimental medicine and biology.

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.

Explore authors with similar magnitude of impact