C. Rivat

945 citations
79 papers · 768 indexed · h-index 16

C. Rivat

76 papers receiving 691 citations

Peers

C. Rivat
Comparison fields: 5 of 110
  • Hematology 201
  • Radiology, Nuclear Medicine and Imaging 284
  • Immunology 253
  • Genetics 83
  • Immunology and Allergy 34
Replace Kevin W. Harris with:
Kevin W. Harris United States
Valerie I. Brown United States
Scott W. Reid United Kingdom
Stephanie H. Kim United States
Shigeto Kawai Japan
H B Hewitt United Kingdom
Wouter Pos Netherlands
Yulia Vugmeyster United States
L. Kirszbaum Australia
Anja Krippner‐Heidenreich United Kingdom
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Citations per field
00.5×4.2×
Kevin W. Harris · 1×
Citations per year

Countries citing papers authored by C. Rivat

Since Specialization
Citations

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

Fields of papers citing papers by C. Rivat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 19976
2 19964
3 199522
4 19924
5 19921
6 19927
7 199210
8 19925
9 199112
10 198822
11 19884
12 19864
13 19861
14
Suitable hollow fibre immunobioreactors for specific ex vivo removal of antibodies and antigens from plasma.
19856
15 19847
16 198113
17 198113
18
Heavy and light chain variable region subgroups: antigenic analysis among human monoclonal immunoglobulins.
19761
19
Accident survenu après injection de gamma-globulines anti-Rh dû à la présence d'anticorps anti-gammaA.
19705
20
Une immunoglobulinopathie méconnue: la maladie des chaines lourdes.
196713

About C. Rivat

C. Rivat is a scholar working on Hematology, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy, having authored 79 papers that have together received 768 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (38 papers), Glycosylation and Glycoproteins Research (22 papers), Blood groups and transfusion (15 papers), Protein purification and stability (9 papers), Immunodeficiency and Autoimmune Disorders (8 papers), Complement system in diseases (7 papers), Cell Adhesion Molecules Research (7 papers) and Erythrocyte Function and Pathophysiology (5 papers). The work is most often cited by research in Hematology (201 citations), Radiology, Nuclear Medicine and Imaging (284 citations) and Immunology (253 citations). C. Rivat has collaborated with scholars based in France, Switzerland and Tunisia. Frequent co-authors include C Ropartz, L Rivat, Véronique Regnault, Christian Davrinche, J.F. Stoltz, Laurent Vallar, Maryvonne Daveau, Marc Fontaine, Michael T. Klein and Manuel A. Navia. Their work appears in journals such as Human Heredity, European Journal of Immunology, International Journal of Immunogenetics, International Journal of Production Economics and Electrophoresis.

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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