Peter J.K. Kuppen
- Oncology top 0.2%
- Molecular Biology top 2%
- Immunology top 0.5%
- Cancer Research top 0.5%
- Pulmonary and Respiratory Medicine top 1%
- Co-authors
- Cornelis J.�H. van de VeldeGerrit‐Jan LiefersAlexander L. VahrmeijerHein PutterRob A.�E.�M. TollenaarVincent T.H.B.M. SmitEsther M. de KruijfMarianne Hokland
- Topics
- Immune Cell Function and Interaction (67 papers)Immunotherapy and Immune Responses (60 papers)Cancer Immunotherapy and Biomarkers (52 papers)
- Cited by
- OncologyImmunologyCancer Research
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Oncology
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Peter J.K. Kuppen
305 papers receiving 11.7k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Oncology 5.4k
- Molecular Biology 3.6k
- Immunology 3.4k
- Cancer Research 2.1k
- Pulmonary and Respiratory Medicine 1.7k
Countries citing papers authored by Peter J.K. Kuppen
This map shows the geographic impact of Peter J.K. Kuppen'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 Peter J.K. Kuppen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter J.K. Kuppen more than expected).
Fields of papers citing papers by Peter J.K. Kuppen
This network shows the impact of papers produced by Peter J.K. Kuppen. 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 Peter J.K. Kuppen. The network helps show where Peter J.K. Kuppen may publish in the future.
Co-authorship network of co-authors of Peter J.K. Kuppen
This figure shows the co-authorship network connecting the top 25 collaborators of Peter J.K. Kuppen. A scholar is included among the top collaborators of Peter J.K. Kuppen 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 Peter J.K. Kuppen. Peter J.K. Kuppen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 15 | |
| 6 | 18 | |
| 7 | 39 | |
| 8 | 97 | |
| 9 | 39 | |
| 10 | 49 | |
| 11 | 105 | |
| 12 | 28 | |
| 13 | 132 | |
| 14 | Tumour immune subtyping as a predictive biomarker for adjuvant endocrine therapy in early breast cancer | 1 |
| 15 | 26 | |
| 16 | 61 | |
| 17 | 1 | |
| 18 | 40 | |
| 19 | 1 | |
| 20 | 53 |
About Peter J.K. Kuppen
Peter J.K. Kuppen is a scholar working on Oncology, Immunology and Cancer Research, having authored 313 papers that have together received 11.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (67 papers), Immunotherapy and Immune Responses (60 papers) and Cancer Immunotherapy and Biomarkers (52 papers). The work is most often cited by research in Oncology (5.4k citations), Immunology (3.4k citations) and Cancer Research (2.1k citations). Peter J.K. Kuppen has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Cornelis J.�H. van de Velde, Gerrit‐Jan Liefers, Alexander L. Vahrmeijer, Hein Putter, Rob A.�E.�M. Tollenaar, Vincent T.H.B.M. Smit, Esther M. de Kruijf, Marianne Hokland, J. Sven D. Mieog and Merlijn Hutteman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.