Markéta Bednaříková

1.2k total citations · 1 hit paper
20 papers, 751 citations indexed

About

Markéta Bednaříková is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Epidemiology. According to data from OpenAlex, Markéta Bednaříková has authored 20 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Reproductive Medicine, 10 papers in Obstetrics and Gynecology and 6 papers in Epidemiology. Recurrent topics in Markéta Bednaříková's work include Ovarian cancer diagnosis and treatment (14 papers), Endometrial and Cervical Cancer Treatments (10 papers) and Cervical Cancer and HPV Research (4 papers). Markéta Bednaříková is often cited by papers focused on Ovarian cancer diagnosis and treatment (14 papers), Endometrial and Cervical Cancer Treatments (10 papers) and Cervical Cancer and HPV Research (4 papers). Markéta Bednaříková collaborates with scholars based in Czechia, United States and Chile. Markéta Bednaříková's co-authors include Marek Svoboda, Tamara Šmerdová, Ondřej Slabý, Dana Knoflíčková, Rudolf Nenutil, Pavel Fabián, Rostislav Vyzula, Vít Weinberger, Jitka Hausnerová and Luboš Minář and has published in prestigious journals such as Annals of Oncology, Theranostics and Cancers.

In The Last Decade

Markéta Bednaříková

18 papers receiving 735 citations

Hit Papers

Altered Expression of miR... 2007 2026 2013 2019 2007 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markéta Bednaříková Czechia 8 564 538 87 74 67 20 751
Kei Ihira Japan 15 556 1.0× 485 0.9× 46 0.5× 107 1.4× 64 1.0× 23 704
Fanfei Kong China 15 422 0.7× 378 0.7× 38 0.4× 151 2.0× 62 0.9× 26 626
Tian Liang China 12 354 0.6× 293 0.5× 41 0.5× 47 0.6× 35 0.5× 23 485
Ge Lou China 12 302 0.5× 182 0.3× 89 1.0× 146 2.0× 53 0.8× 13 493
Bożena Konopka Poland 13 319 0.6× 154 0.3× 129 1.5× 84 1.1× 93 1.4× 23 468
Maria Bisogna United States 12 220 0.4× 185 0.3× 94 1.1× 157 2.1× 57 0.9× 14 425
Angela Ziebarth United States 7 345 0.6× 125 0.2× 94 1.1× 254 3.4× 19 0.3× 11 516
Miyuki Kurai Japan 9 215 0.4× 76 0.1× 75 0.9× 130 1.8× 121 1.8× 10 424
Asaha Fujimoto Japan 12 164 0.3× 108 0.2× 52 0.6× 123 1.7× 21 0.3× 17 336
H.-G. Schnürch Germany 7 203 0.4× 145 0.3× 31 0.4× 201 2.7× 44 0.7× 24 449

Countries citing papers authored by Markéta Bednaříková

Since Specialization
Citations

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

Fields of papers citing papers by Markéta Bednaříková

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markéta Bednaříková

This figure shows the co-authorship network connecting the top 25 collaborators of Markéta Bednaříková. A scholar is included among the top collaborators of Markéta Bednaříková 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 Markéta Bednaříková. Markéta Bednaříková 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.
Bednaříková, Markéta, Jitka Hausnerová, Zdeněk Pavlovský, et al.. (2025). Real‐World Data From a Molecular Tumor Board‐Assisted Cancer Care From a Single Center in The Czech Republic: Is Precision Oncology an Accessible Option, or a Privilege for a Minority of Patients?. Cancer Medicine. 14(15). e71119–e71119. 1 indexed citations
3.
Minář, Luboš, et al.. (2024). Ultrasound finding of endometrial polyp and factors increasing risk of malignancy. PubMed. 89(1). 44–51.
4.
Bednaříková, Markéta, Jitka Hausnerová, Luboš Minář, et al.. (2023). Molecular testing of endometrial carcinoma in real-world clinical practice. Klinicka onkologie. 36(3). 215–223. 1 indexed citations
5.
Bednaříková, Markéta, et al.. (2022). Can Schlafen 11 Help to Stratify Ovarian Cancer Patients Treated with DNA-Damaging Agents?. Cancers. 14(10). 2353–2353. 3 indexed citations
6.
Bednaříková, Markéta, Petra Ovesná, Jitka Hausnerová, et al.. (2021). The Clinical Significance of DJ1 and L1CAM Serum Level Monitoring in Patients with Endometrial Cancer. Journal of Clinical Medicine. 10(12). 2640–2640. 10 indexed citations
7.
Bednaříková, Markéta, et al.. (2021). Tumor Characteristic Variations between Symptomatic and Asymptomatic Endometrial Cancer. Healthcare. 9(7). 902–902. 1 indexed citations
8.
Ovesná, Petra, et al.. (2021). Does an Endometrial Cancer Diagnosis among Asymptomatic Patients Improve Prognosis?. Cancers. 14(1). 115–115. 3 indexed citations
9.
Holčáková, Jitka, Martin Bartošík, Luboš Minář, et al.. (2021). New Trends in the Detection of Gynecological Precancerous Lesions and Early-Stage Cancers. Cancers. 13(24). 6339–6339. 18 indexed citations
10.
Minář, Luboš, et al.. (2019). [Postoperative administration of octreotide to reduce lymphorrhea, lymphocele, lymphedema and lymphatic ascites after lymphadenectomy in gynecological malignancies].. PubMed. 82(2). 92–99. 1 indexed citations
11.
Kotrbová, Anna, Petra Ovesná, Tomasz Radaszkiewicz, et al.. (2019). WNT signaling inducing activity in ascites predicts poor outcome in ovarian cancer. Theranostics. 10(2). 537–552. 38 indexed citations
12.
Minář, Luboš, et al.. (2019). [Current FIGO staging classification for cancer of ovary, fallopian tube and peritoneum].. PubMed. 82(3). 230–236. 5 indexed citations
13.
Weinberger, Vít, Markéta Bednaříková, Jitka Hausnerová, et al.. (2019). A Novel Approach to Preoperative Risk Stratification in Endometrial Cancer: The Added Value of Immunohistochemical Markers. Frontiers in Oncology. 9. 265–265. 23 indexed citations
14.
Weinberger, Vít, Luboš Minář, Petra Ovesná, et al.. (2018). Brenner tumor of the ovary — ultrasound features and clinical management of a rare ovarian tumor mimicking ovarian cancer. Ginekologia Polska. 89(7). 357–363. 10 indexed citations
15.
Weinberger, Vít, Luboš Minář, Petra Ovesná, et al.. (2018). Struma ovarii – ultrasound features of a rare tumor mimicking ovarian cancer. Medical Ultrasonography. 20(3). 355–355. 7 indexed citations
16.
Presl, J, Petra Ovesná, J Bouda, et al.. (2017). Importance of Preoperative Knowledge of the Biomarker HE4 in Early-stage Endometrial Cancer Regarding Surgical Management. Anticancer Research. 37(5). 2697–2702. 5 indexed citations
17.
Minář, Luboš, et al.. (2017). Novinky ve FIGO stagingu karcinomu ovaria, tuby a peritonea. 82(3). 1 indexed citations
18.
Weinberger, Vít, Markéta Bednaříková, David Cibula, & Michal Zikán. (2016). Serous tubal intraepithelial carcinoma (STIC) – clinical impact and management. Expert Review of Anticancer Therapy. 16(12). 1311–1321. 26 indexed citations
19.
Slabý, Ondřej, Milana Šachlová, Markéta Bednaříková, et al.. (2010). Gene Expression of Somatostatin Receptor 4 Predicts Clinical Outcome of Patients with Metastatic Neuroendocrine Tumors Treated with Somatostatin Analogs. Cancer Biotherapy and Radiopharmaceuticals. 25(2). 237–243. 5 indexed citations
20.
Slabý, Ondřej, Marek Svoboda, Pavel Fabián, et al.. (2007). Altered Expression of miR-21, miR-31, miR-143 and miR-145 Is Related to Clinicopathologic Features of Colorectal Cancer. Oncology. 72(5-6). 397–402. 589 indexed citations breakdown →

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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