Nienke van Rooij

4.1k citations
22 papers · 1.9k indexed · 1 hit paper · h-index 12
Topics
CAR-T cell therapy research (11 papers)Immunotherapy and Immune Responses (9 papers)Cancer Immunotherapy and Biomarkers (8 papers)

In The Last Decade

Nienke van Rooij

21 papers receiving 1.9k citations

Hit Papers

Tumor Exome Analysis Reveals Neoantigen-Specific T-Cell R...20132026201720212013200400600

Peers

Nienke van Rooij
Comparison fields: 5 of 82
  • Immunology 1.3k
  • Oncology 1.2k
  • Molecular Biology 611
  • Cancer Research 201
  • Biomedical Engineering 127
Replace Ekaterina Doubrovina with:
Ekaterina Doubrovina United States
Ingrid S. Zeelenberg Netherlands
Gustav Ullenhag Sweden
Arantza Azpilikueta Spain
Pia Kvistborg Netherlands
Cristina Puig-Saus United States
Donna H. Deacon United States
Petra Baumgaertner Switzerland
Sofie Wilgenhof Belgium
Nienke van Rooij relative to Ekaterina Doubrovina United States Ekaterina Doubrovina's profile →
Citations per field
00.5×2.7×
Ekaterina Doubrovina · 1×
Citations per year

Countries citing papers authored by Nienke van Rooij

Since Specialization
Citations

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

Fields of papers citing papers by Nienke van Rooij

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nienke van Rooij

This figure shows the co-authorship network connecting the top 25 collaborators of Nienke van Rooij. A scholar is included among the top collaborators of Nienke van Rooij 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 Nienke van Rooij. Nienke van Rooij is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 0
3 1
4 1
5 1
6 4
7 24
8 14
9 14
10 250
11 323
12 12
13 17
14 42
15 269
16 2
17 282
18 2
19 7
20
Tumor Exome Analysis Reveals Neoantigen-Specific T-Cell Reactivity in an Ipilimumab-Responsive Melanomabreakdown →
624

About Nienke van Rooij

Nienke van Rooij is a scholar working on Immunology, Oncology and Virology, having authored 22 papers that have together received 1.9k indexed citations. Recurring topics across this work include CAR-T cell therapy research (11 papers), Immunotherapy and Immune Responses (9 papers) and Cancer Immunotherapy and Biomarkers (8 papers). The work is most often cited by research in Immunology (1.3k citations), Oncology (1.2k citations) and Cancer Research (201 citations). Nienke van Rooij has collaborated with scholars based in Netherlands, United Kingdom and Germany. Frequent co-authors include Ton N. Schumacher, Mireille Toebes, Marit M. van Buuren, Shalin H. Naik, Leïla Perié, Rob J. de Boer, Carmen Gerlach, Arno Velds, Sander Kelderman and Bianca Heemskerk. Their work appears in journals such as Nature, Science and Journal of Clinical 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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