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
Comparison fields: 5 of 56
  • Molecular Biology 142
  • Cancer Research 93
  • Reproductive Medicine 84
  • Oncology 70
  • Obstetrics and Gynecology 63
Replace Moito Iijima with:
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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
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Citations per field, relative to Jitka Hausnerová
Jitka Hausnerová · 1×
Citations per year, relative to Jitka Hausnerová
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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
# Work Indexed citations
1 1
2 0
3 0
4 0
5 2
6 2
7 8
8 6
9 12
10 11
11 4
12 0
13 5
14 30
15 38
16 23
17 10
18 59
19 11
20 2

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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