Renata Héžová

930 citations
23 papers · 794 indexed · h-index 15
Topics
MicroRNA in disease regulation (10 papers)Circular RNAs in diseases (7 papers)Cancer-related molecular mechanisms research (6 papers)
Partner nations
CzechiaFranceSlovakia

In The Last Decade

Renata Héžová

22 papers receiving 788 citations

Peers

Renata Héžová
Comparison fields: 5 of 76
  • Molecular Biology 551
  • Cancer Research 430
  • Surgery 103
  • Immunology 97
  • Genetics 75
Replace Yu Liang with:
Yu Liang China
Fuminori Hirano Japan
Kira Bettermann Austria
Yang‐An Wen United States
Hemant Joshi United States
Ruyi Xu China
Aiwu Mao China
Brian Hurwitz United States
Kristin Wächter Germany
Emanuele Monteleone Italy
Renata Héžová relative to Yu Liang China Yu Liang's profile →
Citations per field
00.5×6.4×
Yu Liang · 1×
Citations per year

Countries citing papers authored by Renata Héžová

Since Specialization
Citations

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

Fields of papers citing papers by Renata Héžová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renata Héžová

This figure shows the co-authorship network connecting the top 25 collaborators of Renata Héžová. A scholar is included among the top collaborators of Renata Héžová 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 Renata Héžová. Renata Héžová 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
#WorkIndexed citations
1 0
2 1
3 3
4 29
5 11
6 48
7 31
8 3
9 3
10 11
11 94
12 41
13 18
14 44
15 42
16 102
17 38
18
[Triple-negative breast cancer: analysis of patients diagnosed and/or treated at the Masaryk Memorial Cancer Institute between 2004 and 2009].
3
19 141
20 28

About Renata Héžová

Renata Héžová is a scholar working on Cancer Research, Immunology and Molecular Biology, having authored 23 papers that have together received 794 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (10 papers), Circular RNAs in diseases (7 papers) and Cancer-related molecular mechanisms research (6 papers). The work is most often cited by research in Cancer Research (430 citations), Molecular Biology (551 citations) and Immunology (97 citations). Renata Héžová has collaborated with scholars based in Czechia, France and Slovakia. Frequent co-authors include Ondřej Slabý, Hana Mlčochová, Michal Staník, Marek Svoboda, Karthick Raja Muthu Raja, Alena Svobodová Kovaříková, Jaroslav Michálek, Zuzana Mikulková, Petra Faltejsková and Milana Šachlová. Their work appears in journals such as PLoS ONE, Biophysical Journal and World Journal of Gastroenterology.

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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