Sébastien Anguille

5.1k citations
88 papers · 2.7k indexed · 1 hit paper · h-index 29
  • Immunology top 1%
    • Immunotherapy and Immune Responses 35
    • Immune Cell Function and Interaction 23
    • T-cell and B-cell Immunology 11
  • Oncology top 2%
    • CAR-T cell therapy research 45
  • Hematology top 2%
    • Multiple Myeloma Research and Treatments 10
    • RNA Interference and Gene Delivery 9
    • Viral Infectious Diseases and Gene Expression in Insects 8
  • Virology top 10%
    • Virus-based gene therapy research 9

Sébastien Anguille

82 papers receiving 2.7k citations

Hit Papers

Clinical use of dendritic cells for cancer therapy5412014202620182022100200300400500

Peers

Sébastien Anguille
Comparison fields: 5 of 103
  • Immunology 1.7k
  • Oncology 1.5k
  • Hematology 426
  • Molecular Biology 873
  • Virology 46
Replace Tao Dao with:
Tao Dao United States
Eva Lion Belgium
Siok‐Keen Tey Australia
Martin Felices United States
Adela R. Cardones United States
Liquan Gao United Kingdom
Robbert van der Voort Netherlands
Julie Ritchey United States
Alexander I. Salter United States
Carolina Colli Cruz United States
Sébastien Anguille relative to Tao Dao United States Tao Dao's profile →
Citations per field
00.5×1.5×2.2×
Tao Dao · 1×
Citations per year

Countries citing papers authored by Sébastien Anguille

Since Specialization
Citations

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

Fields of papers citing papers by Sébastien Anguille

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
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10 20198
11 2015167
12 2015122
13 201552
14 201425
15 201340
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17 201247
18 201188
19 201126
20 20101

About Sébastien Anguille

Sébastien Anguille is a scholar working on Immunology, Oncology and Hematology, having authored 88 papers that have together received 2.7k indexed citations. Recurring topics across this work include CAR-T cell therapy research (45 papers), Immunotherapy and Immune Responses (35 papers), Immune Cell Function and Interaction (23 papers), T-cell and B-cell Immunology (11 papers), Multiple Myeloma Research and Treatments (10 papers), Virus-based gene therapy research (9 papers), RNA Interference and Gene Delivery (9 papers) and Viral Infectious Diseases and Gene Expression in Insects (8 papers). The work is most often cited by research in Immunology (1.7k citations), Oncology (1.5k citations) and Hematology (426 citations). Sébastien Anguille has collaborated with scholars based in Belgium, Netherlands and United States. Frequent co-authors include Viggo Van Tendeloo, Zwi Berneman, Evelien Smits, Eva Lion, Heleen H. Van Acker, Yannick Willemen, Gils Roex, Diana Campillo-Davó, Herman Goossens and Jurjen Tel. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

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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