Peter J.K. Kuppen

15.3k total citations · 1 hit paper
313 papers, 11.9k citations indexed

About

Peter J.K. Kuppen is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Peter J.K. Kuppen has authored 313 papers receiving a total of 11.9k indexed citations (citations by other indexed papers that have themselves been cited), including 173 papers in Oncology, 115 papers in Immunology and 79 papers in Molecular Biology. Recurrent topics in Peter J.K. Kuppen's work include Immune Cell Function and Interaction (67 papers), Immunotherapy and Immune Responses (60 papers) and Cancer Immunotherapy and Biomarkers (52 papers). Peter J.K. Kuppen is often cited by papers focused on Immune Cell Function and Interaction (67 papers), Immunotherapy and Immune Responses (60 papers) and Cancer Immunotherapy and Biomarkers (52 papers). Peter J.K. Kuppen collaborates with scholars based in Netherlands, United States and United Kingdom. Peter J.K. Kuppen's co-authors include Cornelis J.�H. van de Velde, Alexander L. Vahrmeijer, Gerrit‐Jan Liefers, 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Peter J.K. Kuppen

305 papers receiving 11.7k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The clinical use of indocyanine green as a near‐infrared fluorescent contrast agent for image‐guided oncologic surgery

2011 657 citations J. Sven D. Mieog, Peter J.K. Kuppen et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Peter J.K. Kuppen Netherlands	60	5.4k	3.6k	3.4k	2.1k	1.7k	313	11.9k
Rosemarie Mick United States	72	6.2k 1.2×	3.5k 1.0×	3.2k 0.9×	2.1k 1.0×	2.6k 1.6×	265	14.4k
David R. Spriggs United States	62	4.9k 0.9×	4.2k 1.2×	3.0k 0.9×	1.2k 0.6×	1.9k 1.1×	230	13.0k
Mark R. Middleton United Kingdom	63	7.3k 1.4×	6.2k 1.7×	2.3k 0.7×	1.3k 0.6×	1.9k 1.1×	372	13.6k
Simone Mocellin Italy	59	5.2k 1.0×	3.2k 0.9×	3.1k 0.9×	1.3k 0.6×	2.3k 1.4×	279	11.8k
Aurélien Marabelle France	63	10.2k 1.9×	2.8k 0.8×	5.8k 1.7×	1.6k 0.7×	3.1k 1.9×	281	15.2k
Keith L. Knutson United States	55	6.4k 1.2×	4.7k 1.3×	6.7k 2.0×	1.7k 0.8×	1.4k 0.9×	187	14.3k
Massimo Aglietta Italy	58	7.1k 1.3×	3.6k 1.0×	3.0k 0.9×	1.9k 0.9×	2.8k 1.7×	397	14.5k
Kunle Odunsi United States	60	7.2k 1.3×	5.0k 1.4×	8.1k 2.4×	2.1k 1.0×	1.5k 0.9×	370	15.5k
Gavin P. Dunn United States	45	8.4k 1.6×	4.2k 1.2×	8.9k 2.6×	1.9k 0.9×	1.8k 1.1×	136	16.4k
Sunil Badve United States	59	6.4k 1.2×	5.5k 1.5×	1.3k 0.4×	4.6k 2.2×	2.0k 1.2×	309	14.3k

Countries citing papers authored by Peter J.K. Kuppen

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Schomann, Timo, Mireille Vankemmelbeke, Lindy G. Durrant, et al.. (2025). Preclinical evaluation of glycan-targeting monoclonal antibodies for bimodal near-infrared fluorescence and photoacoustic imaging of gastrointestinal cancers. EJNMMI Research. 15(1). 67–67. 1 indexed citations

Bijlstra, Okker D., Alexander Broersen, Jouke Dijkstra, et al.. (2024). Semi-automatic standardized analysis method to objectively evaluate near-infrared fluorescent dyes in image-guided surgery. Journal of Biomedical Optics. 29(2). 26001–26001. 3 indexed citations

Lauwerends, Lorraine J., Robert J. Baatenburg de Jong, Cornelis Verhoef, et al.. (2024). Tumour Marker Expression in Head and Neck Malignancies to Identify Potential Targets for Intraoperative Molecular Near-Infrared Imaging. Molecular Diagnosis & Therapy. 28(6). 811–820. 3 indexed citations

Bijlstra, Okker D., James P. Basilion, Matthew Bogyo, et al.. (2024). Immunohistochemical Evaluation of Cathepsin B, L, and S Expression in Breast Cancer Patients. Molecular Imaging and Biology. 26(6). 1057–1067. 2 indexed citations

Kuninty, Praneeth R., Ruchi Bansal, Susanna W.L. de Geus, et al.. (2019). ITGA5 inhibition in pancreatic stellate cells attenuates desmoplasia and potentiates efficacy of chemotherapy in pancreatic cancer. Science Advances. 5(9). eaax2770–eaax2770. 97 indexed citations

Roelands, Jessica, Peter J.K. Kuppen, Louis Vermeulen, et al.. (2017). Immunogenomic Classification of Colorectal Cancer and Therapeutic Implications. International Journal of Molecular Sciences. 18(10). 2229–2229. 105 indexed citations

Blok, Erik J., et al.. (2016). Tumour immune subtyping as a predictive biomarker for adjuvant endocrine therapy in early breast cancer. Cancer Research. 76. 1 indexed citations

Trinh, Anne, Kari Trumpi, Felipe de Sousa e Melo, et al.. (2016). Practical and Robust Identification of Molecular Subtypes in Colorectal Cancer by Immunohistochemistry. Clinical Cancer Research. 23(2). 387–398. 132 indexed citations

Peters, Inge, Ronald Peek, Erik W. van Zwet, et al.. (2016). Noninvasive Detection of Metastases and Follicle Density in Ovarian Tissue Using Full-Field Optical Coherence Tomography. Clinical Cancer Research. 22(22). 5506–5513. 28 indexed citations

10.

Engels, C.C., Nienke A. de Glas, Anita Sajet, et al.. (2015). The influence of insulin‐like Growth Factor‐1‐Receptor expression and endocrine treatment on clinical outcome of postmenopausal hormone receptor positive breast cancer patients: A Dutch TEAM substudy analysis. Molecular Oncology. 10(4). 509–516. 12 indexed citations

11.

Zeestraten, Eliane C.M., Inès J. Goossens-Beumer, Gerrit‐Jan Liefers, et al.. (2014). Combined analysis of HLA class I, HLA-E and HLA-G predicts prognosis in colon cancer patients (vol 110, pg 459, 2014). British Journal of Cancer. 111(12). 2383–2383. 4 indexed citations

12.

Goossens-Beumer, Inès J., Remco Derr, Henk P.J. Buermans, et al.. (2014). MicroRNA Classifier and Nomogram for Metastasis Prediction in Colon Cancer. Cancer Epidemiology Biomarkers & Prevention. 24(1). 187–197. 26 indexed citations

13.

Shah, Reena, et al.. (2014). Biomarkers for Early Detection of Colorectal Cancer and Polyps: Systematic Review. Cancer Epidemiology Biomarkers & Prevention. 23(9). 1712–1728. 61 indexed citations

14.

Mojarad, Ehsan Nazemalhosseini, Pedram Azimzadeh, & Peter J.K. Kuppen. (2014). Prognostic value of tumor-infiltrating immune cells in patients with colorectal cancer. 3(4). 141–143.

15.

Velde, Cornelis J.�H. van de, et al.. (2014). BIoLoGIcAL AND PRoGNoSTIc RoLE oF TuMoR SIZE (T 1a , T 1b , T 1c ) IN STAGE I BREAST cANcER (ExPERIENcE oF INTERNATIoNAL cooPERATIoN). 6. 1 indexed citations

16.

Kruijf, Esther M. de, C.C. Engels, W. van de Water, et al.. (2013). Tumor immune subtypes distinguish tumor subclasses with clinical implications in breast cancer patients. Breast Cancer Research and Treatment. 142(2). 355–364. 21 indexed citations

17.

Bastiaannet, Esther, Ronald van Eijk, Ronald L. P. van Vlierberghe, et al.. (2013). COX-2 expression influences the prognostic effect of aspirin use after diagnosis in colon cancer patients. European Journal of Cancer. 49.

18.

Engels, C.C., Esther M. de Kruijf, Gabi W. van Pelt, et al.. (2013). The prognostic value of apoptotic and proliferative markers in breast cancer. Breast Cancer Research and Treatment. 142(2). 323–339. 22 indexed citations

19.

Iersel, L.B.J. van, Miriam Koopman, Cornelis J.�H. van de Velde, et al.. (2010). Management of isolated nonresectable liver metastases in colorectal cancer patients: a case–control study of isolated hepatic perfusion with melphalan versus systemic chemotherapy. Annals of Oncology. 21(8). 1662–1667. 17 indexed citations

20.

Gelderman, Kyra A., et al.. (2002). Enhancement of the complement activating capacity of 17-1A mAb to overcome the effect of membrane-bound complement regulatory proteins on colorectal carcinoma. European Journal of Immunology. 32(1). 128–135. 40 indexed citations

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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