Daniel Radoux

696 citations
19 papers · 619 · h-index 13

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • Stress Responses and Cortisol

Papers in

Daniel Radoux

19 papers receiving 593 citations

Peers

Daniel Radoux
Comparison fields: 5 of 89
  • Immunology 346
  • Behavioral Neuroscience 37
  • Biological Psychiatry 24
  • Nephrology 52
  • Virology 29
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H. M. Dosch Canada
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Citations per field
00.5×5.8×
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Citations per year

Countries citing papers authored by Daniel Radoux

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Radoux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1992102
2 199088
3 198473
4 198464
5 199358
6
Isolation of follicular dendritic cells from human tonsils and adenoids. III. Analysis of their Fc receptors.
198543
7 198431
8 198530
9 199421
10 199420
11 198520
12 198216
13 198312
14 199412
15
Nuclear bodies in mouse lymphoid cells stimulated by lipopolysaccharide.
198410
16 19796
17 19856
18 19856
19
[Cytological study of nucleoli and nucleolar organizers during inhibition of RNA synthesis].
19801

About Daniel Radoux

Daniel Radoux is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Oncology, Molecular Biology and Pathology and Forensic Medicine, having authored 19 papers that have together received 619 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (11 papers), T-cell and B-cell Immunology (11 papers), Immune Cell Function and Interaction (8 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Immune Response and Inflammation (3 papers), Lymphoma Diagnosis and Treatment (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Immunology (346 citations), Behavioral Neuroscience (37 citations), Biological Psychiatry (24 citations), Nephrology (52 citations) and Virology (29 citations). Daniel Radoux has collaborated with scholars based in Belgium, France and Germany. Frequent co-authors include Ernst Heinen, C. Kinet-Denoël, Léon J. Simar, Donat De Groote, P Franchimont, M. Lopez, I. Dehart, Michel Jadoul, Willy Coopmans and Roger Bouillon. Their work appears in journals such as Journal of Immunological Methods, Scandinavian Journal of Immunology, Clinical Chemistry, Bulletin of Environmental Contamination and Toxicology and Cell and Tissue Research.

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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