Stéphanie Rigaud

1.4k citations
15 papers · 779 · h-index 9

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immunodeficiency and Autoimmune Disorders
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
  • Hematology top 5%
    • Autoimmune and Inflammatory Disorders Research

Papers in

    • Immune Cell Function and Interaction 8
    • T-cell and B-cell Immunology 6
    • Immunodeficiency and Autoimmune Disorders 3
    • PI3K/AKT/mTOR signaling in cancer 3
    • Single-cell and spatial transcriptomics 1

Stéphanie Rigaud

15 papers receiving 772 citations

Peers

Stéphanie Rigaud
Comparison fields: 5 of 59
  • Immunology 566
  • Hematology 228
  • Oncology 168
  • Infectious Diseases 106
  • Genetics 100
Replace Juliette M. Lefebvre with:
Juliette M. Lefebvre United States
Alexandrine Garrigue France
Stefania Martini Italy
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Helga Björgvinsdóttir Sweden
Osamu Tatsuzawa Japan
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Cécile Daussy France
Alistair Don Australia
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Stéphanie Rigaud relative to Juliette M. Lefebvre United States Juliette M. Lefebvre's profile →
Citations per field
00.5×3.4×
Juliette M. Lefebvre · 1×
Citations per year

Countries citing papers authored by Stéphanie Rigaud

Since Specialization
Citations

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

Fields of papers citing papers by Stéphanie Rigaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2006481
2 201390
3 201146
4 201635
5 201134
6 201525
7 201219
8 201616
9 201414
10 20137
11 20144
12 20123
13 20073
14 20211
15 20161

About Stéphanie Rigaud

Stéphanie Rigaud is a scholar working on Immunology, Molecular Biology, Hematology, Oncology and Genetics, having authored 15 papers that have together received 779 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (6 papers), Autoimmune and Inflammatory Disorders Research (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Immunology (566 citations), Hematology (228 citations), Oncology (168 citations), Infectious Diseases (106 citations) and Genetics (100 citations). Stéphanie Rigaud has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Sylvain Latour, Nathalie Lambert, Alain Fischer, Marie‐Claude Fondanèche, Françoise Le Deist, Lionel Galicier, Pauline Soulas‐Sprauel, Geneviève de Saint Basile, Véronique Mateo and Frédéric Rieux‐Laucat. Their work appears in journals such as PLoS ONE, Blood, Nature, The Journal of Immunology and Diabetes.

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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