C Ropartz

1.7k citations
157 papers · 1.4k · h-index 22

Impact in

  • Hematology top 2%
    • Blood groups and transfusion
  • Immunology top 5%
    • Immunodeficiency and Autoimmune Disorders
    • T-cell and B-cell Immunology

Papers in

    • Blood groups and transfusion 37
    • Immunodeficiency and Autoimmune Disorders 25

C Ropartz

137 papers receiving 1.1k citations

Peers

C Ropartz
Comparison fields: 5 of 102
  • Hematology 447
  • Immunology 397
  • Radiology, Nuclear Medicine and Imaging 364
  • Genetics 148
  • Immunology and Allergy 52
Replace Ronald Billing with:
Ronald Billing United States
Harvey M. Patt United States
Amiel G. Cooper United States
Cécile Tonnelle France
Rodney R. Porter United Kingdom
Richard A. Patrick United States
R Ceppellini Italy
A. M. Wu United States
M J A Tanner United Kingdom
A. Bargellesi Italy
C Ropartz relative to Ronald Billing United States Ronald Billing's profile →
Citations per field
00.5×3.5×
Ronald Billing · 1×
Citations per year

Countries citing papers authored by C Ropartz

Since Specialization
Citations

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

Fields of papers citing papers by C Ropartz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196198
2 197566
3
[Genetic markers of human immunoglobulins].
196944
4 197138
5 197837
6
Immunoglobulin allotypic specificities in mixed leucocyte cultures.
197335
7
Evidence for "deleted" or "silent" genes homozygous at the locus coding for the constant region of the gamma3 chain.
197634
8 197733
9 197731
10 196530
11 196026
12 196625
13 196323
14 196323
15 197623
16 197522
17 197422
18 197022
19 197621
20
Recombination, mutation, or constitutive expression at a Gm locus and familial hypergammaglobulinemia.
197721

About C Ropartz

C Ropartz is a scholar working on Hematology, Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 157 papers that have together received 1.4k indexed citations. Recurring topics across this work include Blood groups and transfusion (37 papers), Monoclonal and Polyclonal Antibodies Research (25 papers), Immunodeficiency and Autoimmune Disorders (25 papers), Glycosylation and Glycoproteins Research (18 papers), Erythrocyte Function and Pathophysiology (13 papers), Chronic Lymphocytic Leukemia Research (13 papers), Diabetes and associated disorders (9 papers) and Peptidase Inhibition and Analysis (8 papers). The work is most often cited by research in Hematology (447 citations), Immunology (397 citations), Radiology, Nuclear Medicine and Imaging (364 citations), Genetics (148 citations) and Immunology and Allergy (52 citations). C Ropartz has collaborated with scholars based in France, Switzerland and Germany. Frequent co-authors include L Rivat, C. Rivat, J. Lenoir, Maryvonne Daveau, Jacques Loiselet, Danièle Gilbert, Richard Sesboüé, Josiane Martin, J.P. Martin and Gérard Feldmann. Their work appears in journals such as Vox Sanguinis, Human Genetics, Human Heredity, European Journal of Immunology and Nature.

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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