J. Riou

1.2k citations
82 papers · 922 · h-index 16

Impact in

  • Genetics top 1%
    • Hemoglobinopathies and Related Disorders
  • Hematology top 2%
    • Iron Metabolism and Disorders
    • Blood groups and transfusion

Papers in

    • Hemoglobinopathies and Related Disorders 57
    • Hemoglobin structure and function 41

J. Riou

82 papers receiving 891 citations

Peers

J. Riou
Comparison fields: 5 of 65
  • Genetics 668
  • Hematology 446
  • Cell Biology 234
  • Pediatrics, Perinatology and Child Health 190
  • Microbiology 42
Replace Ronald F. Rieder with:
Ronald F. Rieder United States
T. H. J. Huisman United States
Rose G. Schneider United States
CT Noguchi United States
D. Mark Layton United Kingdom
Martin Sorette United States
S. Pootrakul Thailand
RP Hebbel United States
John G. Gilman United States
K. Kidoguchi Japan
J. Riou relative to Ronald F. Rieder United States Ronald F. Rieder's profile →
Citations per field
00.5×8.4×
Ronald F. Rieder · 1×
Citations per year

Countries citing papers authored by J. Riou

Since Specialization
Citations

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

Fields of papers citing papers by J. Riou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cation-exchange HPLC evaluated for presumptive identification of hemoglobin variants.
199787
2 199787
3 200179
4 200846
5 198732
6 201723
7 199223
8 199622
9 200221
10 200020
11 199020
12 198918
13 199916
14 198516
15 199315
16 199215
17 198015
18 199014
19 200813
20 199413

About J. Riou

J. Riou is a scholar working on Genetics, Cell Biology, Hematology, Physiology and Spectroscopy, having authored 82 papers that have together received 922 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (57 papers), Hemoglobin structure and function (41 papers), Iron Metabolism and Disorders (26 papers), Erythrocyte Function and Pathophysiology (24 papers), Mass Spectrometry Techniques and Applications (10 papers), Neonatal Health and Biochemistry (9 papers), Blood groups and transfusion (5 papers) and Bacterial Infections and Vaccines (4 papers). The work is most often cited by research in Genetics (668 citations), Hematology (446 citations), Cell Biology (234 citations), Pediatrics, Perinatology and Child Health (190 citations) and Microbiology (42 citations). J. Riou has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Henri Wajcman, Frédéric Galactéros, Claude Préhu, Christian Godart, Josiane Bardakdjian‐Michau, Danièlle Promé, J. Kister, Y. Blouquit, C. Lacombe and M Guibourdenche. Their work appears in journals such as Hemoglobin, American Journal of Hematology, Journal of Clinical Microbiology, Blood Cells Molecules and Diseases and Clinical Biochemistry.

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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