Jitka Hausnerová

740 total citations
37 papers, 297 citations indexed

About

Jitka Hausnerová is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Oncology. According to data from OpenAlex, Jitka Hausnerová has authored 37 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Reproductive Medicine, 14 papers in Obstetrics and Gynecology and 10 papers in Oncology. Recurrent topics in Jitka Hausnerová's work include Ovarian cancer diagnosis and treatment (24 papers), Endometrial and Cervical Cancer Treatments (13 papers) and Cervical Cancer and HPV Research (5 papers). Jitka Hausnerová is often cited by papers focused on Ovarian cancer diagnosis and treatment (24 papers), Endometrial and Cervical Cancer Treatments (13 papers) and Cervical Cancer and HPV Research (5 papers). Jitka Hausnerová collaborates with scholars based in Czechia, Hungary and United States. Jitka Hausnerová's co-authors include Vít Weinberger, Markéta Bednaříková, Luboš Minář, Petra Ovesná, Leoš Křen, Eva Jandáková, Jana Skřičková, Igor Kišš, Markéta Hermanová and Ondřej Slabý and has published in prestigious journals such as Theranostics, Modern Pathology and Cancers.

In The Last Decade

Jitka Hausnerová

32 papers receiving 293 citations

Peers

Jitka Hausnerová
Moito Iijima Japan
Imre Pete Hungary
Chunfang Ha China
Shujie Pang China
Liudmila Velikokhatnaya United States
Laura M S Seeber Netherlands
Seden Küçücük Türkiye
Hualei Bu China
Shuqi Chi China
Floriana Camarda Italy
Moito Iijima Japan
Jitka Hausnerová
Citations per year, relative to Jitka Hausnerová Jitka Hausnerová (= 1×) peers Moito Iijima

Countries citing papers authored by Jitka Hausnerová

Since Specialization
Citations

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

Fields of papers citing papers by Jitka Hausnerová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jitka Hausnerová

This figure shows the co-authorship network connecting the top 25 collaborators of Jitka Hausnerová. A scholar is included among the top collaborators of Jitka Hausnerová 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 Jitka Hausnerová. Jitka Hausnerová 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
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Bártů, Michaela, Romana Michálková, Marián Švajdler, et al.. (2024). The role of stathmin expression in the differential diagnosis, prognosis, and potential treatment of ovarian sex cord-stromal tumors. Diagnostic Pathology. 19(1). 118–118.
5.
Michálková, Romana, Nikola Hájková, J. Hojný, et al.. (2024). The Molecular Landscape of 227 Adult Granulosa Cell Tumors of the Ovary: Insights into the Progression from Primary to Recurrence. Laboratory Investigation. 105(3). 102201–102201. 2 indexed citations
6.
Němejcová, Kristýna, Nikola Hájková, Michaela Bártů, et al.. (2024). A molecular and immunohistochemical study of 37 cases of ovarian Sertoli–Leydig cell tumor. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 487(1). 127–140. 2 indexed citations
7.
Izadi, Nasim, et al.. (2024). LAMP‐based electrochemical platform for monitoring HPV genome integration at the mRNA level associated with higher risk of cervical cancer progression. Journal of Medical Virology. 96(10). e70008–e70008. 8 indexed citations
8.
Bártů, Michaela, Kristýna Němejcová, Romana Michálková, et al.. (2023). HER2 status as a potential predictive biomarker for ovarian clear cell carcinoma. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 483(4). 497–507. 6 indexed citations
9.
Hájková, Nikola, J. Hojný, Romana Michálková, et al.. (2023). A comprehensive molecular analysis of 113 primary ovarian clear cell carcinomas reveals common therapeutically significant aberrations. Diagnostic Pathology. 18(1). 72–72. 12 indexed citations
10.
Němejcová, Kristýna, Michaela Bártů, Romana Michálková, et al.. (2023). A comprehensive immunohistochemical analysis of 26 markers in 250 cases of serous ovarian tumors. Diagnostic Pathology. 18(1). 32–32. 11 indexed citations
11.
Bártů, Michaela, Romana Michálková, Jana Drozenová, et al.. (2023). Immunohistochemical expression of PRAME in 485 cases of epithelial tubo-ovarian tumors. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 483(4). 509–516. 4 indexed citations
12.
Bártů, Michaela, Kristýna Němejcová, Romana Michálková, et al.. (2023). Neuroendocrine Marker Expression in Primary Non-neuroendocrine Epithelial Tumors of the Ovary: A Study of 551 Cases. International Journal of Gynecological Pathology. 43(2). 123–133.
13.
Ovesná, Petra, Jitka Hausnerová, Johanna M.A. Pijnenborg, et al.. (2022). External validation study of endometrial cancer preoperative risk stratification model (ENDORISK). Frontiers in Oncology. 12. 939226–939226. 5 indexed citations
14.
Lattová, Erika, Jana Skřičková, Jitka Hausnerová, et al.. (2020). N-Glycan profiling of lung adenocarcinoma in patients at different stages of disease. Modern Pathology. 33(6). 1146–1156. 30 indexed citations
15.
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
16.
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
17.
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
18.
Vychytilova‐Faltejskova, Petra, Igor Kišš, Jan Hlavsa, et al.. (2015). MiR-21, miR-34a, miR-198 and miR-217 as diagnostic and prognostic biomarkers for chronic pancreatitis and pancreatic ductal adenocarcinoma. Diagnostic Pathology. 10(1). 38–38. 59 indexed citations
19.
Šmardová, Jana, Barbora Ravčuková, Jitka Malčíková, et al.. (2015). Complex analysis of the p53 tumor suppressor in lung carcinoma. Oncology Reports. 35(3). 1859–1867. 11 indexed citations
20.
Vašíková, Alžběta, et al.. (2013). Molecular Biological Diagnostics of KRAS and BRAF Mutations in Patients with Colorectal Cancer – Laboratory Experience. Klinicka onkologie. 26(1). 25–30. 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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