Danijel Sikic

1.9k total citations
45 papers, 427 citations indexed

About

Danijel Sikic is a scholar working on Surgery, Molecular Biology and Oncology. According to data from OpenAlex, Danijel Sikic has authored 45 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Surgery, 13 papers in Molecular Biology and 11 papers in Oncology. Recurrent topics in Danijel Sikic's work include Bladder and Urothelial Cancer Treatments (37 papers), Urinary and Genital Oncology Studies (27 papers) and Cancer Immunotherapy and Biomarkers (9 papers). Danijel Sikic is often cited by papers focused on Bladder and Urothelial Cancer Treatments (37 papers), Urinary and Genital Oncology Studies (27 papers) and Cancer Immunotherapy and Biomarkers (9 papers). Danijel Sikic collaborates with scholars based in Germany, United States and Austria. Danijel Sikic's co-authors include Bernd Wullich, Markus Eckstein, Arndt Hartmann, Sven Wach, Helge Täubert, Johannes Breyer, Veronika Weyerer, Bastian Keck, Philipp Erben and Robert Stoehr and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Danijel Sikic

43 papers receiving 426 citations

Peers

Danijel Sikic
Lauren Shuman United States
Anja Rogler Germany
Arnab Basu United States
Thiru Prasanna Australia
Lauren Shuman United States
Danijel Sikic
Citations per year, relative to Danijel Sikic Danijel Sikic (= 1×) peers Lauren Shuman

Countries citing papers authored by Danijel Sikic

Since Specialization
Citations

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

Fields of papers citing papers by Danijel Sikic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danijel Sikic

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

All Works

20 of 20 papers shown
1.
Haas, Maximilian, Roman Mayr, Danijel Sikic, et al.. (2025). Clinical and Genomic Landscape of FGFR3 Alterations Across Different Stages of Urothelial Cancer. European Urology Open Science. 77. 1–9. 1 indexed citations
2.
Eckstein, Markus, Rudolf Jung, Verena Lieb, et al.. (2024). Prognostic and Predictive Potential of CCL5 Expression in Muscle-Invasive Bladder Cancer Patients. International Journal of Molecular Sciences. 25(12). 6325–6325. 3 indexed citations
3.
Saillard, Charlie, P Mann, Maxime Touzot, et al.. (2024). AI allows pre-screening of FGFR3 mutational status using routine histology slides of muscle-invasive bladder cancer. Nature Communications. 15(1). 10914–10914. 4 indexed citations
4.
Strissel, Pamela L., Reiner Strick, Carol Geppert, et al.. (2024). Associations of TACSTD2/TROP2 and NECTIN‐4/NECTIN‐4 with molecular subtypes, PD‐L1 expression, and FGFR3 mutational status in two advanced urothelial bladder cancer cohorts. Histopathology. 84(5). 863–876. 17 indexed citations
5.
Breyer, Johannes, Markus Eckstein, Danijel Sikic, et al.. (2023). Xpert bladder cancer monitor to predict the need for a second TURB (MoniTURB trial). Scientific Reports. 13(1). 15437–15437. 4 indexed citations
6.
Strissel, Pamela L., Reiner Strick, Carol‐Immanuel Geppert, et al.. (2023). Associations of TACSTD2/TROP2 and NECTIN-4/NECTIN-4 with molecular subtypes, PD-L1 expression and FGFR3 mutational status in two advanced urothelial bladder cancer cohorts.. Journal of Clinical Oncology. 41(6_suppl). 554–554. 1 indexed citations
7.
Roghmann, Florian, Johannes Breyer, Marco J. Schnabel, et al.. (2022). Efficacy of Vinflunine for Patients with Metastatic Urothelial Cancer after Immune Checkpoint Inhibitor Pretreatment—A Retrospective Multicenter Analysis. Cancers. 14(12). 2850–2850. 3 indexed citations
8.
Lieb, Verena, et al.. (2022). Analysis of the Impact of Clinical Factors on Low-Intensity Extracorporeal Shockwave Therapy for Erectile Dysfunction. Urologia Internationalis. 106(10). 1041–1049. 7 indexed citations
9.
Eckstein, Markus, Verena Lieb, Rudolf Jung, et al.. (2021). Combination of GP88 Expression in Tumor Cells and Tumor-Infiltrating Immune Cells Is an Independent Prognostic Factor for Bladder Cancer Patients. Cells. 10(7). 1796–1796. 3 indexed citations
10.
Sikic, Danijel, Veronika Weyerer, Carol Geppert, et al.. (2021). Utility of stromal tumor infiltrating lymphocyte scoring (sTILs) for risk stratification of patients with muscle-invasive urothelial bladder cancer after radical cystectomy. Urologic Oncology Seminars and Original Investigations. 40(2). 63.e19–63.e26. 9 indexed citations
11.
Weyerer, Veronika, Robert Stoehr, Simone Bertz, et al.. (2021). Prognostic impact of molecular muscle-invasive bladder cancer subtyping approaches and correlations with variant histology in a population-based mono-institutional cystectomy cohort. World Journal of Urology. 39(11). 4011–4019. 31 indexed citations
12.
Sikic, Danijel, Helge Täubert, Johannes Breyer, et al.. (2021). The Prognostic Value of FGFR3 Expression in Patients with T1 Non-Muscle Invasive Bladder Cancer. Cancer Management and Research. Volume 13. 6567–6578. 13 indexed citations
13.
14.
Sikic, Danijel, Ralph M. Wirtz, Sven Wach, et al.. (2019). Androgen Receptor mRNA Expression in Urothelial Carcinoma of the Bladder: A Retrospective Analysis of Two Independent Cohorts. Translational Oncology. 12(4). 661–668. 18 indexed citations
15.
Eckstein, Markus, Rudolf Jung, Danijel Sikic, et al.. (2018). Piwi-like 1 and -2 protein expression levels are prognostic factors for muscle invasive urothelial bladder cancer patients. Scientific Reports. 8(1). 17693–17693. 16 indexed citations
16.
Sikic, Danijel, Bastian Keck, Sven Wach, et al.. (2017). Immunohistochemiocal subtyping using CK20 and CK5 can identify urothelial carcinomas of the upper urinary tract with a poor prognosis. PLoS ONE. 12(6). e0179602–e0179602. 21 indexed citations
17.
Sikic, Danijel, Johannes Breyer, Arndt Hartmann, et al.. (2017). High Androgen Receptor mRNA Expression Is Independently Associated with Prolonged Cancer-Specific and Recurrence-Free Survival in Stage T1 Bladder Cancer. Translational Oncology. 10(3). 340–345. 19 indexed citations
18.
Lieb, Verena, Michael Rink, Danijel Sikic, & Bastian Keck. (2016). Nebenwirkungsmanagement von Tyrosinkinaseinhibitoren in der Urologie. Der Urologe. 55(6). 805–812. 1 indexed citations
19.
Sikic, Danijel, Sven Wach, Helge Täubert, et al.. (2016). How Octogenarians with Bladder Cancer Are Treated in a Maximum-Care Hospital: The Real-Life Experience. Urologia Internationalis. 98(3). 262–267. 7 indexed citations
20.
Kunath, Frank, Hendrik Borgmann, Anette Blümle, et al.. (2015). Gonadotropin-releasing hormone antagonists versus standard androgen suppression therapy for advanced prostate cancer A systematic review with meta-analysis. BMJ Open. 5(11). e008217–e008217. 14 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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