Eva Hrubá

940 citations
33 papers · 659 · h-index 14

Impact in

Papers in

Eva Hrubá

32 papers receiving 646 citations

Peers

Eva Hrubá
Comparison fields: 5 of 102
  • Health, Toxicology and Mutagenesis 181
  • Clinical Biochemistry 84
  • Rheumatology 96
  • Cancer Research 73
  • Pharmacology 73
Replace Ramadevi Gudi with:
Ramadevi Gudi United States
Karin Tuschl United Kingdom
Geeta Kala United States
Jing Shao China
Céline Tomkiewicz France
Weipan Xu China
Maria Wróbel Poland
C. Edwin Garner United States
Shengmin Yan United States
May Al‐Maghrebi Kuwait
Eva Hrubá relative to Ramadevi Gudi United States Ramadevi Gudi's profile →
Citations per field
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Ramadevi Gudi · 1×
Citations per year

Countries citing papers authored by Eva Hrubá

Since Specialization
Citations

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

Fields of papers citing papers by Eva Hrubá

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eva Hrubá, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eva Hrubá Line = papers co-authored together Eva Hrubá links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010116
2 2014107
3 201471
4 201138
5 201237
6 201837
7 201026
8 201624
9 201822
10 201216
11 201315
12 201714
13 202113
14 201813
15 202212
16 202010
17 201710
18 20039
19
[Various manifestations of the A8344G mtDNA heteroplasmic mutation in 4 families with the MERRF syndrome].
19998
20 20148

About Eva Hrubá

Eva Hrubá is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Clinical Biochemistry, Cancer Research and Rheumatology, having authored 33 papers that have together received 659 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (8 papers), Toxic Organic Pollutants Impact (6 papers), Carcinogens and Genotoxicity Assessment (6 papers), Epigenetics and DNA Methylation (4 papers), Folate and B Vitamins Research (4 papers), Mitochondrial Function and Pathology (4 papers), DNA Repair Mechanisms (3 papers) and Genomics, phytochemicals, and oxidative stress (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (181 citations), Clinical Biochemistry (84 citations), Rheumatology (96 citations), Cancer Research (73 citations) and Pharmacology (73 citations). Eva Hrubá has collaborated with scholars based in Czechia, United States and Slovakia. Frequent co-authors include J Zeman, Miroslav Machala, Martin Magner, Vratislav Smolka, Tomáš Honzík, Miriam Adamovičová, Jan Vondráček, Susanne Mandrup, Timo Hamers and Juliette Legler. Their work appears in journals such as Toxicology Letters, Toxicological Sciences, European Journal of Medicinal Chemistry, Patient Preference and Adherence and Mutation Research/Genetic Toxicology and Environmental Mutagenesis.

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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