Daniël J. Vis

8.6k total citations · 1 hit paper
40 papers, 2.5k citations indexed

About

Daniël J. Vis is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Daniël J. Vis has authored 40 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 10 papers in Oncology and 9 papers in Surgery. Recurrent topics in Daniël J. Vis's work include Bladder and Urothelial Cancer Treatments (9 papers), Metabolomics and Mass Spectrometry Studies (7 papers) and Bioinformatics and Genomic Networks (7 papers). Daniël J. Vis is often cited by papers focused on Bladder and Urothelial Cancer Treatments (9 papers), Metabolomics and Mass Spectrometry Studies (7 papers) and Bioinformatics and Genomic Networks (7 papers). Daniël J. Vis collaborates with scholars based in Netherlands, United Kingdom and Germany. Daniël J. Vis's co-authors include Age K. Smilde, Johan A. Westerhuis, Huub C. J. Hoefsloot, John van Duynhoven, Ewoud J. J. van Velzen, Ferdi A. van Dorsten, Suzanne Smit, Lodewyk F.A. Wessels, J. van der Greef and Barrett C. Foat and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Daniël J. Vis

37 papers receiving 2.5k citations

Hit Papers

align trajectories

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.

Assessment of PLSDA cross validation

2008 1.1k citations Johan A. Westerhuis, Huub C. J. Hoefsloot et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniël J. Vis Netherlands	18	1.6k	309	278	259	202	40	2.5k
Mattias Rantalainen Sweden	26	2.0k 1.3×	345 1.1×	339 1.2×	512 2.0×	572 2.8×	64	3.9k
Max Bylesjö Sweden	15	1.3k 0.8×	250 0.8×	322 1.2×	97 0.4×	78 0.4×	24	2.3k
Dan Tang China	28	1.4k 0.9×	169 0.5×	104 0.4×	235 0.9×	274 1.4×	127	2.6k
Filippos Michopoulos United Kingdom	21	1.4k 0.9×	196 0.6×	128 0.5×	87 0.3×	272 1.3×	33	2.2k
Eva Borràs Spain	25	1.1k 0.7×	436 1.4×	601 2.2×	126 0.5×	76 0.4×	58	2.4k
Frode S. Berven Norway	32	1.9k 1.2×	152 0.5×	157 0.6×	177 0.7×	210 1.0×	103	3.3k
Pär Jonsson Sweden	24	2.0k 1.2×	406 1.3×	204 0.7×	77 0.3×	204 1.0×	44	2.9k
Stacy D. Sherrod United States	21	1.3k 0.8×	464 1.5×	124 0.4×	92 0.4×	130 0.6×	55	2.4k
Elwin Verheij Netherlands	29	2.3k 1.5×	608 2.0×	210 0.8×	147 0.6×	177 0.9×	65	3.7k
Sven Hellberg Sweden	23	1.4k 0.9×	173 0.6×	328 1.2×	96 0.4×	92 0.5×	60	2.9k

Countries citing papers authored by Daniël J. Vis

Since Specialization

Citations

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

Fields of papers citing papers by Daniël J. Vis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniël J. Vis. 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 Daniël J. Vis. The network helps show where Daniël J. Vis may publish in the future.

Co-authorship network of co-authors of Daniël J. Vis

This figure shows the co-authorship network connecting the top 25 collaborators of Daniël J. Vis. A scholar is included among the top collaborators of Daniël J. Vis 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 Daniël J. Vis. Daniël J. Vis 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

Vis, Daniël J., Edwin Cuppen, Niven Mehra, et al.. (2025). Whole genome sequencing of 378 prostate cancer metastases reveals tissue selectivity for mismatch deficiency with potential therapeutic implications. Genome Medicine. 17(1). 24–24. 1 indexed citations

Dijk, Nick van, Daniël J. Vis, Bram van den Broek, et al.. (2025). Final clinical analysis of pre-operative ipilimumab and nivolumab in locally advanced urothelial cancer and exploration of tumor-draining lymph node composition: The NABUCCO trial. European Journal of Cancer. 229. 115731–115731.

López‐Yurda, Marta, Pieter van Hagen, Patricia Zondervan, et al.. (2025). LBA95 Neoadjuvant immunotherapy in locally advanced clear cell renal cell carcinoma at risk for recurrence or distant metastases: The randomized phase II NESCIO trial. Annals of Oncology. 36. S1636–S1637.

Dessel, Lisanne F. van, Vanja de Weerd, Corine M. Beaufort, et al.. (2025). Cell‐free DNA aneuploidy score as a dynamic early response marker in prostate cancer. Molecular Oncology. 19(10). 2822–2832. 1 indexed citations

Gil-Jimenez, Alberto, Nick van Dijk, Joris L. Vos, et al.. (2024). Spatial relationships in the urothelial and head and neck tumor microenvironment predict response to combination immune checkpoint inhibitors. Nature Communications. 15(1). 2538–2538. 10 indexed citations

Wilpe, Sandra van, Iris M. Seignette, Alberto Gil-Jimenez, et al.. (2024). Platinum-Based Chemotherapy Induces Opposing Effects on Immunotherapy Response-Related Spatial and Stromal Biomarkers in the Bladder Cancer Microenvironment. Clinical Cancer Research. 30(18). 4227–4239. 3 indexed citations

Dijk, Nick van, Maurits L. van Montfoort, Iris M. Seignette, et al.. (2024). Clinical efficacy and biomarker analysis of pre-operative ipilimumab plus nivolumab in stage III urothelial cancer: The NABUCCO trial update.. Journal of Clinical Oncology. 42(16_suppl). 4593–4593. 1 indexed citations

Gil-Jimenez, Alberto, Alberto Contreras‐Sanz, Daniël J. Vis, et al.. (2022). Assessment of Predictive Genomic Biomarkers for Response to Cisplatin-based Neoadjuvant Chemotherapy in Bladder Cancer. European Urology. 83(4). 313–317. 26 indexed citations

Mourragui, Soufiane, Marco Loog, Daniël J. Vis, et al.. (2021). Predicting patient response with models trained on cell lines and patient-derived xenografts by nonlinear transfer learning. Proceedings of the National Academy of Sciences. 118(49). 24 indexed citations

10.

Vos, Kristan E. van der, Daniël J. Vis, Woonyoung Choi, et al.. (2020). Epigenetic profiling demarcates molecular subtypes of muscle-invasive bladder cancer. Scientific Reports. 10(1). 10952–10952. 10 indexed citations

11.

Vis, Daniël J., Suzan Stelloo, Cor Lieftink, et al.. (2019). TLE3 loss confers AR inhibitor resistance by facilitating GR-mediated human prostate cancer cell growth. eLife. 8. 25 indexed citations

12.

Aben, Nanne, Daniël J. Vis, Magali Michaut, & Lodewyk F.A. Wessels. (2016). TANDEM: a two-stage approach to maximize interpretability of drug response models based on multiple molecular data types. Bioinformatics. 32(17). i413–i420. 54 indexed citations

13.

Salah, Samer, Jae‐Lyun Lee, Hiroshi Kitamura, et al.. (2016). Second-line Chemotherapy in Older Patients With Metastatic Urothelial Carcinoma: Pooled Analysis of 10 Second-line Studies. Clinical Genitourinary Cancer. 15(4). e563–e571. 3 indexed citations

14.

Planells‐Cases, Rosa, Charlotte Guyader, Nora M. Gerhards, et al.. (2015). Subunit composition of VRAC channels determines substrate specificity and cellular resistance to P t‐based anti‐cancer drugs. The EMBO Journal. 34(24). 2993–3008. 209 indexed citations

15.

Kemper, Kristel, Oscar Krijgsman, Paulien Cornelissen‐Steijger, et al.. (2015). Intra‐ and inter‐tumor heterogeneity in a vemurafenib‐resistant melanoma patient and derived xenografts. EMBO Molecular Medicine. 7(9). 1104–1118. 103 indexed citations

16.

Kaduk, Mateusz, Huub C. J. Hoefsloot, Daniël J. Vis, et al.. (2014). Correlated measurement error hampers association network inference. Journal of Chromatography B. 966. 93–99. 7 indexed citations

17.

Vis, Daniël J., Johan A. Westerhuis, Huub C. J. Hoefsloot, et al.. (2014). Network Identification of Hormonal Regulation. PLoS ONE. 9(5). e96284–e96284. 7 indexed citations

18.

Hendrickx, Diana M., Huub C. J. Hoefsloot, Margriet M. W. B. Hendriks, et al.. (2012). Inferring differences in the distribution of reaction rates across conditions. Molecular BioSystems. 8(9). 2415–2423.

19.

Vis, Daniël J., Johan A. Westerhuis, Huub C. J. Hoefsloot, et al.. (2012). Detecting Regulatory Mechanisms in Endocrine Time Series Measurements. PLoS ONE. 7(3). e32985–e32985. 5 indexed citations

20.

Velzen, Ewoud J. J. van, Johan A. Westerhuis, John van Duynhoven, et al.. (2009). Phenotyping Tea Consumers by Nutrikinetic Analysis of Polyphenolic End-Metabolites. Journal of Proteome Research. 8(7). 3317–3330. 74 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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