Viggo Van Tendeloo

8.9k citations
155 papers · 6.5k indexed · 1 hit paper · h-index 45
  • Immunology top 0.5%
    • Immunotherapy and Immune Responses 92
    • Immune Cell Function and Interaction 45
    • T-cell and B-cell Immunology 34
  • Oncology top 1%
    • CAR-T cell therapy research 44
  • Hematology top 2%
    • RNA Interference and Gene Delivery 35
    • Renal and related cancers 12
    • vaccines and immunoinformatics approaches 9
  • Virology top 5%
    • Virus-based gene therapy research 19

Viggo Van Tendeloo

154 papers receiving 6.4k citations

Hit Papers

Clinical use of dendritic cells for cancer therapy5412014202620182022100200300400500

Peers

Viggo Van Tendeloo
Comparison fields: 5 of 130
  • Immunology 4.1k
  • Oncology 2.3k
  • Hematology 493
  • Molecular Biology 2.6k
  • Virology 149
Replace Toshio Heike with:
Toshio Heike Japan
Li Wu Australia
Chrystal M. Paulos United States
Rosa Bacchetta Italy
Masaki Yasukawa Japan
Edward Greenfield United States
Giulio C. Spagnoli Switzerland
Sayuri Yamazaki Japan
Deborah Luxenberg United States
Helmut Jonuleit Germany
Viggo Van Tendeloo relative to Toshio Heike Japan Toshio Heike's profile →
Citations per field
00.5×1.5×2.0×
Toshio Heike · 1×
Citations per year

Countries citing papers authored by Viggo Van Tendeloo

Since Specialization
Citations

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

Fields of papers citing papers by Viggo Van Tendeloo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Viggo Van Tendeloo. 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 Viggo Van Tendeloo. The network helps show where Viggo Van Tendeloo may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20233
3 20232
4 20222
5 202211
6 20203
7 20204
8 20198
9 201813
10 201634
11 201625
12 2015167
13 201133
14 200944
15 200919
16 200849
17 200766
18 20066
19 200416
20 199782

About Viggo Van Tendeloo

Viggo Van Tendeloo is a scholar working on Immunology, Oncology and Virology, having authored 155 papers that have together received 6.5k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (92 papers), Immune Cell Function and Interaction (45 papers), CAR-T cell therapy research (44 papers), RNA Interference and Gene Delivery (35 papers), T-cell and B-cell Immunology (34 papers), Virus-based gene therapy research (19 papers), Renal and related cancers (12 papers) and vaccines and immunoinformatics approaches (9 papers). The work is most often cited by research in Immunology (4.1k citations), Oncology (2.3k citations) and Hematology (493 citations). Viggo Van Tendeloo has collaborated with scholars based in Belgium, Uganda and United Kingdom. Frequent co-authors include Zwi Berneman, Evelien Smits, Peter Ponsaerts, Sébastien Anguille, Eva Lion, Nathalie Cools, Heleen H. Van Acker, Griet Nijs, Dirk R. Van Bockstaele and Yannick Willemen. 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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2026