Anke Vanderstraeten

405 citations
10 papers · 308 · h-index 7

Impact in

Papers in

    • Immunotherapy and Immune Responses 6
    • Immune Cell Function and Interaction 3
    • Cancer Immunotherapy and Biomarkers 4
    • CAR-T cell therapy research 3

Anke Vanderstraeten

10 papers receiving 304 citations

Peers

Anke Vanderstraeten
Comparison fields: 5 of 41
  • Obstetrics and Gynecology 125
  • Reproductive Medicine 88
  • Immunology 146
  • Oncology 156
  • Cancer Research 33
Replace Beata Maćkowiak-Matejczyk with:
Beata Maćkowiak-Matejczyk Poland
Long Kwei United States
Sven Ackermann Germany
Daron Street United States
Gonghua Qi China
Wuliang Wang China
Moito Iijima Japan
Nicole C.M. Visser Netherlands
Miłosz Wilczyński Poland
Chunfang Ha China
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Citations per field
00.5×3.7×
Beata Maćkowiak-Matejczyk · 1×
Citations per year

Countries citing papers authored by Anke Vanderstraeten

Since Specialization
Citations

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

Fields of papers citing papers by Anke Vanderstraeten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Anke Vanderstraeten, 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 Anke Vanderstraeten Line = papers co-authored together Anke Vanderstraeten links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2014101
2 201576
3
Wilms' Tumor Gene 1 (WT1)--loaded dendritic cell immunotherapy in patients with uterine tumors: a phase I/II clinical trial.
201341
4
Immunological response after WT1 mRNA-loaded dendritic cell immunotherapy in ovarian carcinoma and carcinosarcoma.
201340
5 201626
6 20149
7 20159
8 20163
9 20162
10 20141

About Anke Vanderstraeten

Anke Vanderstraeten is a scholar working on Immunology, Oncology, Obstetrics and Gynecology, Reproductive Medicine and Molecular Biology, having authored 10 papers that have together received 308 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), Cancer Immunotherapy and Biomarkers (4 papers), CAR-T cell therapy research (3 papers), Ovarian cancer diagnosis and treatment (3 papers), Endometrial and Cervical Cancer Treatments (3 papers), Immune Cell Function and Interaction (3 papers), Renal and related cancers (2 papers) and Uterine Myomas and Treatments (2 papers). The work is most often cited by research in Obstetrics and Gynecology (125 citations), Reproductive Medicine (88 citations), Immunology (146 citations), Oncology (156 citations) and Cancer Research (33 citations). Anke Vanderstraeten has collaborated with scholars based in Belgium, Netherlands and France. Frequent co-authors include Frédéric Amant, Sandra Tuyaerts, Godelieve Verbist, C. Luyten, An Coosemans, Ignace Vergote, Stefaan W. Van Gool, Tina Verschuere, Zwi Berneman and Philippe Moerman. Their work appears in journals such as Journal of Translational Medicine, Journal of Reproductive Immunology, Human Vaccines & Immunotherapeutics, European Journal of Cancer and Gynecologic 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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