Mandy van Brakel

458 citations
15 papers · 323 · h-index 10

Impact in

  • Oncology top 10%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • CAR-T cell therapy research 10
    • Cancer Immunotherapy and Biomarkers 4
    • Immunotherapy and Immune Responses 9
    • Immune Cell Function and Interaction 3
    • T-cell and B-cell Immunology 2

Mandy van Brakel

14 papers receiving 317 citations

Peers

Mandy van Brakel
Comparison fields: 5 of 44
  • Oncology 248
  • Immunology 179
  • Genetics 50
  • Molecular Biology 88
  • Cancer Research 19
Replace Liora M. Schultz with:
Liora M. Schultz United States
Linda C. Sandin Sweden
Won‐Ju Kim South Korea
Maryann Mikucki United States
Álvaro Sánchez-Arráez Spain
Hiep Khong United States
Jane Chuprin United States
Zea Melton United States
Laurence C. Chen United States
Antonio Valeri Spain
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Citations per field
00.5×1.5×
Liora M. Schultz · 1×
Citations per year

Countries citing papers authored by Mandy van Brakel

Since Specialization
Citations

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

Fields of papers citing papers by Mandy van Brakel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mandy van Brakel. 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 Mandy van Brakel. The network helps show where Mandy van Brakel may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201691
2 201943
3 201438
4 201236
5 201630
6 201624
7 201423
8 201912
9 20219
10 20229
11 20253
12 20203
13 19611
14 20201
15 20220

About Mandy van Brakel

Mandy van Brakel is a scholar working on Oncology, Immunology, Genetics, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 15 papers that have together received 323 indexed citations. Recurring topics across this work include CAR-T cell therapy research (10 papers), Immunotherapy and Immune Responses (9 papers), Cancer Immunotherapy and Biomarkers (4 papers), Virus-based gene therapy research (3 papers), Immune Cell Function and Interaction (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), T-cell and B-cell Immunology (2 papers) and Amino Acid Enzymes and Metabolism (1 paper). The work is most often cited by research in Oncology (248 citations), Immunology (179 citations), Genetics (50 citations), Molecular Biology (88 citations) and Cancer Research (19 citations). Mandy van Brakel has collaborated with scholars based in Netherlands, Belgium and Switzerland. Frequent co-authors include Reno Debets, Imran Siddiqui, Paola Allavena, Marco Erreni, C. B. H. W. Lamers, Stefan Sleijfer, Pierre G. Coulie, André Kunert, Erik van Schooten and Ron H.J. Mathijssen. Their work appears in journals such as Cancers, The Journal of Immunology, Journal for ImmunoTherapy of Cancer, Respiration and Journal of Neuro-Oncology.

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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