Siebren Dijkstra

981 total citations
17 papers, 745 citations indexed

About

Siebren Dijkstra is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research and Molecular Biology. According to data from OpenAlex, Siebren Dijkstra has authored 17 papers receiving a total of 745 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pulmonary and Respiratory Medicine, 6 papers in Cancer Research and 4 papers in Molecular Biology. Recurrent topics in Siebren Dijkstra's work include Prostate Cancer Treatment and Research (11 papers), Prostate Cancer Diagnosis and Treatment (10 papers) and Diabetic Foot Ulcer Assessment and Management (2 papers). Siebren Dijkstra is often cited by papers focused on Prostate Cancer Treatment and Research (11 papers), Prostate Cancer Diagnosis and Treatment (10 papers) and Diabetic Foot Ulcer Assessment and Management (2 papers). Siebren Dijkstra collaborates with scholars based in Netherlands, Belgium and Indonesia. Siebren Dijkstra's co-authors include Jack A. Schalken, Peter F.A. Mulders, Inge M. van Oort, Rianne J. Hendriks, Sander A. Jannink, G.H.J.M. Leyten, Wim Van Criekinge, Frank Smit, Theo M. de Reijke and Christina A. Hulsbergen‐van de Kaa and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and The Journal of Urology.

In The Last Decade

Siebren Dijkstra

17 papers receiving 735 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Siebren Dijkstra Netherlands 11 483 293 293 74 62 17 745
Harry J. Linton United States 9 539 1.1× 141 0.5× 92 0.3× 76 1.0× 104 1.7× 12 670
Maciej Salagierski Poland 14 511 1.1× 345 1.2× 147 0.5× 230 3.1× 39 0.6× 56 744
Manabu Kuriyama Japan 11 290 0.6× 117 0.4× 51 0.2× 89 1.2× 101 1.6× 48 535
Per Å. Høisæter Norway 12 289 0.6× 79 0.3× 60 0.2× 50 0.7× 89 1.4× 28 455
Takashi Fukagai Japan 14 477 1.0× 81 0.3× 116 0.4× 138 1.9× 77 1.2× 67 727
Haluk Özen Türkiye 16 492 1.0× 75 0.3× 37 0.1× 186 2.5× 186 3.0× 45 623
Joanna Kiśluk Poland 11 84 0.2× 174 0.6× 112 0.4× 66 0.9× 48 0.8× 27 367
Masaomi Ikeda Japan 13 179 0.4× 101 0.3× 56 0.2× 197 2.7× 37 0.6× 65 468
Boon Kua Australia 13 527 1.1× 73 0.2× 71 0.2× 63 0.9× 123 2.0× 24 592
Eisuke Tomiyama Japan 13 151 0.3× 248 0.8× 135 0.5× 178 2.4× 13 0.2× 33 502

Countries citing papers authored by Siebren Dijkstra

Since Specialization
Citations

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

Fields of papers citing papers by Siebren Dijkstra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Siebren Dijkstra. 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 Siebren Dijkstra. The network helps show where Siebren Dijkstra may publish in the future.

Co-authorship network of co-authors of Siebren Dijkstra

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

All Works

17 of 17 papers shown
1.
Dijkstra, Siebren, et al.. (2023). The accuracy of cystoscopy in predicting muscle invasion in newly diagnosed bladder cancer patients. World Journal of Urology. 41(7). 1829–1835. 10 indexed citations
2.
Hendriks, Rianne J., Siebren Dijkstra, Frank Smit, et al.. (2018). Epigenetic markers in circulating cell‐free DNA as prognostic markers for survival of castration‐resistant prostate cancer patients. The Prostate. 78(5). 336–342. 38 indexed citations
3.
Hendriks, Rianne J., Siebren Dijkstra, Jelle O. Barentsz, et al.. (2017). A urinary biomarker‐based risk score correlates with multiparametric MRI for prostate cancer detection. The Prostate. 77(14). 1401–1407. 60 indexed citations
4.
Dijkstra, Siebren, Tim M. Govers, Rianne J. Hendriks, et al.. (2017). Cost‐effectiveness of a new urinary biomarker‐based risk score compared to standard of care in prostate cancer diagnostics – a decision analytical model. British Journal of Urology. 120(5). 659–665. 40 indexed citations
5.
Dirksen, Uta, H. Jürgens, Andreas Ranft, et al.. (2016). Local Control and Survival in Pelvic Ewing Sarcoma (EwS) in the Euro-Ewing99 Trial. Pediatric Blood & Cancer. 63. 3 indexed citations
6.
7.
Neste, Leander Van, Rianne J. Hendriks, Siebren Dijkstra, et al.. (2016). Detection of High-grade Prostate Cancer Using a Urinary Molecular Biomarker–Based Risk Score. European Urology. 70(5). 740–748. 257 indexed citations
8.
Hendriks, Rianne J., Siebren Dijkstra, Sander A. Jannink, et al.. (2016). Comparative analysis of prostate cancer specific biomarkers PCA3 and ERG in whole urine, urinary sediments and exosomes. Clinical Chemistry and Laboratory Medicine (CCLM). 54(3). 483–492. 52 indexed citations
9.
Hendriks, Rianne J., Siebren Dijkstra, Erik B. Cornel, et al.. (2016). Elevated HOXC6/DLX1 mRNA biomarker levels in urine to help select patients at increased risk for high-grade prostate cancer detection upon prostate biopsy.. Journal of Clinical Oncology. 34(2_suppl). 31–31. 2 indexed citations
10.
Dijkstra, Siebren, G.H.J.M. Leyten, Sander A. Jannink, et al.. (2014). KLK3, PCA3, and TMPRSS2-ERG expression in the peripheral blood mononuclear cell fraction from castration-resistant prostate cancer patients and response to docetaxel treatment. The Prostate. 74(12). 1222–1230. 27 indexed citations
11.
Schalken, Jack A., Siebren Dijkstra, Edwina Baskin-Bey, & Inge M. van Oort. (2014). Potential utility of cancer-specific biomarkers for assessing response to hormonal treatments in metastatic prostate cancer. Therapeutic Advances in Urology. 6(6). 245–252. 14 indexed citations
12.
Dijkstra, Siebren, Peter F.A. Mulders, & Jack A. Schalken. (2013). Clinical use of novel urine and blood based prostate cancer biomarkers: A review. Clinical Biochemistry. 47(10-11). 889–896. 102 indexed citations
13.
Dijkstra, Siebren, Frank Smit, G.H.J.M. Leyten, et al.. (2013). Prostate Cancer Biomarker Profiles in Urinary Sediments and Exosomes. The Journal of Urology. 191(4). 1132–1138. 92 indexed citations
14.
Dijkstra, Siebren, Antoine G. van der Heijden, H. Ewout Schaafsma, & Peter F.A. Mulders. (2012). Synchronous Penile Metastasis from a High-Grade Adenocarcinoma of the Prostate. SHILAP Revista de lepidopterología. 2012. 1–3. 6 indexed citations
15.
Dijkstra, Siebren, Agus Rizal Ardy Hariandy Hamid, G.H.J.M. Leyten, & Jack A. Schalken. (2012). Personalized Management in Low-Risk Prostate Cancer: The Role of Biomarkers. SHILAP Revista de lepidopterología. 2012. 1–7. 9 indexed citations
16.
Dijkstra, Siebren, et al.. (1997). Diabetic patients with foot burns. Diabetic Medicine. 14(12). 1080–1083. 27 indexed citations
17.
Dijkstra, Siebren, et al.. (1997). Diabetic patients with foot burns. Diabetic Medicine. 14(12). 1080–1083. 2 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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