Rieneke van de Ven

1.7k citations
61 papers · 1.4k indexed · h-index 23
  • Immunology top 5%
    • Immunotherapy and Immune Responses 40
    • Immune Cell Function and Interaction 18
    • T-cell and B-cell Immunology 11
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers 24
    • CAR-T cell therapy research 13
    • Drug Transport and Resistance Mechanisms 5
    • Head and Neck Cancer Studies 6
    • Virus-based gene therapy research 7

Rieneke van de Ven

61 papers receiving 1.4k citations

Peers

Rieneke van de Ven
Comparison fields: 5 of 87
  • Immunology 876
  • Oncology 770
  • Cancer Research 90
  • Molecular Biology 404
  • Otorhinolaryngology 23
Replace Jaikumar Duraiswamy with:
Jaikumar Duraiswamy United States
Jianping Yang New Zealand
Jonathan Chang United States
Yoshihiro Miyahara Japan
Christian A. Schmidt Germany
Victor Levitsky Sweden
H. Bernhard Germany
Ali Roghanian United Kingdom
Takuya Takayama United States
Kristin G. Anderson United States
Rieneke van de Ven relative to Jaikumar Duraiswamy United States Jaikumar Duraiswamy's profile →
Citations per field
00.5×1.5×1.9×
Jaikumar Duraiswamy · 1×
Citations per year

Countries citing papers authored by Rieneke van de Ven

Since Specialization
Citations

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

Fields of papers citing papers by Rieneke van de Ven

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rieneke van de Ven. 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 Rieneke van de Ven. The network helps show where Rieneke van de Ven may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
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7 202239
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11 202032
12 202033
13 202062
14 201854
15 201737
16 201550
17 20144
18 201250
19 20116
20 200655

About Rieneke van de Ven

Rieneke van de Ven is a scholar working on Immunology, Oncology and Otorhinolaryngology, having authored 61 papers that have together received 1.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (40 papers), Cancer Immunotherapy and Biomarkers (24 papers), Immune Cell Function and Interaction (18 papers), CAR-T cell therapy research (13 papers), T-cell and B-cell Immunology (11 papers), Virus-based gene therapy research (7 papers), Head and Neck Cancer Studies (6 papers) and Drug Transport and Resistance Mechanisms (5 papers). The work is most often cited by research in Immunology (876 citations), Oncology (770 citations) and Cancer Research (90 citations). Rieneke van de Ven has collaborated with scholars based in Netherlands, United States and France. Frequent co-authors include Tanja D. de Gruijl, Rik J. Scheper, George L. Scheffer, Jelle J. Lindenberg, Gerrit Jansen, Dinja Oosterhoff, Yvette van Kooyk, Dorian A. Stolk, Marieke F. Fransen and Alfons J.M. van den Eertwegh. Their work appears in journals such as Nature Communications, 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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