K. Schreuder
About
K. Schreuder is a scholar working on Cancer Research, Oncology and Surgery.
According to data from OpenAlex, K. Schreuder has authored 31 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cancer Research, 17 papers in Oncology and 8 papers in Surgery. Recurrent topics in K. Schreuder's work include Breast Cancer Treatment Studies (19 papers), Global Cancer Incidence and Screening (9 papers) and Breast Implant and Reconstruction (8 papers). K. Schreuder is often cited by papers focused on Breast Cancer Treatment Studies (19 papers), Global Cancer Incidence and Screening (9 papers) and Breast Implant and Reconstruction (8 papers). K. Schreuder collaborates with scholars based in Netherlands, France and Belgium. K. Schreuder's co-authors include Sabine Siesling, Marie-Jeanne T. F. D. Vrancken Peeters, John H. Maduro, Marc A.M. Mureau, A.C.M. van Bommel, Thijs van Dalen, Kelly M. de Ligt, Marieke W.J. Louwman, Marlies Wakkee and P.E.R. Spronk and has published in prestigious journals such as International Journal of Cancer, Journal of Investigative Dermatology and European Journal of Cancer.
In The Last Decade
K. Schreuder
28 papers receiving 343 citations
Peers
K. Schreuder
Christina A. Dilaveri United States
Shaista Khan Pakistan
Luc J.E.E. Scheijmans Netherlands
Joel Okoli United States
Hyma Schubert Switzerland
Toufic Eid Lebanon
A.B.G. Kwast Netherlands
Judy Caines Canada
Valérie Théberge Canada
Fiona Nussey United Kingdom
Citations per year, relative to K. Schreuder K. Schreuder (= 1×)
peers
Christina A. Dilaveri
Countries citing papers authored by K. Schreuder
Since
Specialization
Citations
This map shows the geographic impact of K. Schreuder'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 K. Schreuder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Schreuder more than expected).
Fields of papers citing papers by K. Schreuder
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by K. Schreuder. 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 K. Schreuder. The network helps show where K. Schreuder may publish in the future.
Co-authorship network of co-authors of K. Schreuder
This figure shows the co-authorship network connecting the top 25 collaborators of K. Schreuder. A scholar is included among the top collaborators of K. Schreuder 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 K. Schreuder. K. Schreuder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Hollestein, Loes M., Marieke W.J. Louwman, K. Schreuder, et al.. (2025). Longitudinal data on advanced cutaneous squamous cell carcinoma from the Dutch Keratinocyte Cancer Collaborative (DKCC): a nationwide real-world database study. The Lancet Regional Health - Europe. 59. 101501–101501.
2.
Schreuder, K., Mathilde Jalving, Anna K.L. Reyners, et al.. (2023). Systemic therapy timing and use in patients with advanced melanoma at the end of life: A retrospective cohort study. The Journal of Dermatology. 51(4). 584–591.
3.
Schreuder, K., Linetta B. Koppert, Rhodé M. Bijlsma, et al.. (2023). European quality indicators developed by the European Commission Initiative on Breast Cancer: a first nationwide assessment for the Dutch setting. Breast Cancer Research and Treatment. 203(3). 523–531.
4.
Schreuder, K., Gijs Geleijnse, Matteo Cellamare, et al.. (2023). Comparing quality of breast cancer care in the Netherlands and Norway by federated propensity score analytics. Breast Cancer Research and Treatment. 201(2). 247–256.
5.
Schreuder, K., Tamar Nijsten, Marlies Wakkee, et al.. (2022). The impact of the COVID‐19 pandemic on keratinocyte carcinoma in the Netherlands: Trends in diagnoses and magnitude of diagnostic delays. Journal of the European Academy of Dermatology and Venereology. 36(5). 680–687.
6.
Schreuder, K., Jeroen Veltman, Anneriet E. Dassen, et al.. (2022). Adherence to the Dutch Breast Cancer Guidelines for Surveillance in Breast Cancer Survivors: Real-World Data from a Pooled Multicenter Analysis. The Oncologist. 27(10). e766–e773.
7.
Wakkee, Marlies, Annette H. Bruggink, Quirinus J.M. Voorham, et al.. (2022). Development and Validation of an Algorithm to Identify Patients with Advanced Cutaneous Squamous Cell Carcinoma from Pathology Reports. Journal of Investigative Dermatology. 143(1). 98–104.e5.
8.
Singh, Keshav K., et al.. (2022). Seasonal variation in diagnosis of cutaneous invasive melanoma and cutaneous squamous cell carcinoma: A nationwide study in the Netherlands. Cancer Epidemiology. 81. 102289–102289.
9.
Leeneman, B, K. Schreuder, Carin A. Uyl‐de Groot, et al.. (2021). Stage-specific trends in incidence and survival of cutaneous melanoma in the Netherlands (2003–2018): A nationwide population-based study. European Journal of Cancer. 154. 111–119.
10.
Bommel, A.C.M. van, Kelly M. de Ligt, K. Schreuder, et al.. (2020). The added value of immediate breast reconstruction to health-related quality of life of breast cancer patients. European Journal of Surgical Oncology. 46(10). 1848–1853.
11.
Schreuder, K., Mieke J. Aarts, J. W. S. Merkus, et al.. (2019). An actualised population‐based study on the use of radiotherapy in breast cancer patients in the Netherlands. The Breast Journal. 25(5). 942–947.
12.
Schreuder, K., et al.. (2019). The Changing Role of Gene-Expression Profiling in the Era of De-escalating Adjuvant Chemotherapy in Early-Stage Breast Cancer. Annals of Surgical Oncology. 26(11). 3495–3501.
13.
Ligt, Kelly M. de, A.C.M. van Bommel, K. Schreuder, et al.. (2018). The effect of being informed on receiving immediate breast reconstruction in breast cancer patients. European Journal of Surgical Oncology. 44(5). 717–724.
14.
Schreuder, K., John H. Maduro, P.E.R. Spronk, et al.. (2018). Variation in the Use of Boost Irradiation in Breast-Conserving Therapy in the Netherlands: The Effect of a National Guideline and Cofounding Factors. Clinical Oncology. 31(4). 250–259.
15.
Schreuder, K., P.E.R. Spronk, JC Oosterwijk, et al.. (2018). Hospital transfer after a breast cancer diagnosis: A population-based study in the Netherlands of the extent, predictive characteristics and its impact on time to treatment. European Journal of Surgical Oncology. 45(4). 560–566.
16.
Bommel, A.C.M. van, K. Schreuder, Kelly M. de Ligt, et al.. (2018). Discrepancies Between Surgical Oncologists and Plastic Surgeons in Patient Information Provision and Personal Opinions Towards Immediate Breast Reconstruction. Annals of Plastic Surgery. 81(4). 383–388.
17.
Aalders, K.C., et al.. (2018). Regional Recurrence Risk Following a Negative Sentinel Node Procedure Does Not Approximate the False-Negative Rate of the Sentinel Node Procedure in Breast Cancer Patients Not Receiving Radiotherapy or Systemic Treatment. Annals of Surgical Oncology. 26(2). 372–378.
18.
Schreuder, K., et al.. (2017). Impact of gene-expression profiling in patients with early breast cancer when applied outside the guideline directed indication area. European Journal of Cancer. 84. 270–277.
19.
Bommel, A.C.M. van, Marc A.M. Mureau, K. Schreuder, et al.. (2016). Large variation between hospitals in immediate breast reconstruction rates after mastectomy for breast cancer in the Netherlands. Journal of Plastic Reconstructive & Aesthetic Surgery. 70(2). 215–221.
20.
Schreuder, K., et al.. (2016). Factors Associated with the Use of Gene Expression Profiles in Estrogen Receptor-Positive Early-Stage Breast Cancer Patients: A Nationwide Study. Public Health Genomics. 19(5). 276–281.
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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