Jorieke Weiden

2.6k total citations · 1 hit paper
19 papers, 2.0k citations indexed

About

Jorieke Weiden is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Jorieke Weiden has authored 19 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 9 papers in Oncology and 6 papers in Molecular Biology. Recurrent topics in Jorieke Weiden's work include Immunotherapy and Immune Responses (11 papers), CAR-T cell therapy research (7 papers) and RNA Interference and Gene Delivery (5 papers). Jorieke Weiden is often cited by papers focused on Immunotherapy and Immune Responses (11 papers), CAR-T cell therapy research (7 papers) and RNA Interference and Gene Delivery (5 papers). Jorieke Weiden collaborates with scholars based in Netherlands, United States and Switzerland. Jorieke Weiden's co-authors include Seth B. Coffelt, Jos Jonkers, Karin E. de Visser, Metamia Ciampricotti, Cheei‐Sing Hau, Lukas J.A.C. Hawinkels, Kim Vrijland, Niels J. M. Verstegen, Chris W. Doornebal and Kelly Kersten and has published in prestigious journals such as Nature, Nature Materials and ACS Nano.

In The Last Decade

Jorieke Weiden

19 papers receiving 2.0k citations

Hit Papers

IL-17-producing γδ T cells and neutrophils conspire to pr... 2015 2026 2018 2022 2015 400 800 1.2k

Peers

Jorieke Weiden
Comparison fields: 5 of 104
  • Immunology 1.2k
  • Oncology 912
  • Molecular Biology 530
  • Biomedical Engineering 370
  • Cancer Research 172
Replace Wei‐Wei Deng with:
Wei‐Wei Deng China
Michael Klichinsky United States
Hélène Salmon France
Keichiro Mihara Japan
Peisheng Hu United States
Katarzyna Franciszkiewicz France
Robbert van der Voort Netherlands
Esther N. Arwert United Kingdom
Stefaan Van Gool Belgium
Todd D. Armstrong United States
Wei‐Wei Deng China View profile →
Citations per field, relative to Jorieke Weiden
Jorieke Weiden · 1×
Citations per year, relative to Jorieke Weiden
Jorieke Weiden · 1×

Countries citing papers authored by Jorieke Weiden

Since Specialization
Citations

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

Fields of papers citing papers by Jorieke Weiden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jorieke Weiden

This figure shows the co-authorship network connecting the top 25 collaborators of Jorieke Weiden. A scholar is included among the top collaborators of Jorieke Weiden based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jorieke Weiden. Jorieke Weiden is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 8
2 2
3 19
4 6
5 6
6 21
7 22
8 5
9 61
10 11
11 18
12 70
13 102
14 88
15 149
16 54
17 55
18 3
19
IL-17-producing γδ T cells and neutrophils conspire to promote breast cancer metastasis breakdown →
1295

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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