David Vrána

2.3k citations
67 papers · 1.3k · h-index 20

Impact in

    • MicroRNA in disease regulation
    • Cancer, Lipids, and Metabolism
    • Cancer-related molecular mechanisms research
  • Oncology top 10%
    • Drug Transport and Resistance Mechanisms
    • Cancer Immunotherapy and Biomarkers

Papers in

David Vrána

61 papers receiving 1.3k citations

Peers

David Vrána
Comparison fields: 5 of 101
  • Cancer Research 299
  • Oncology 306
  • Molecular Biology 578
  • Spectroscopy 133
  • Nutrition and Dietetics 110
Replace Xinchun Zhou with:
Xinchun Zhou United States
Gerda Hofstetter Austria
Mingming Deng China
Tetsuya Okano Japan
María Sereno Spain
Changqing Yang China
Roxana Cojocneanu Romania
Susan Ruth Marengo United States
R Barrios United States
Zhiqian Hu China
David Vrána relative to Xinchun Zhou United States Xinchun Zhou's profile →
Citations per field
00.5×1.5×2.2×
Xinchun Zhou · 1×
Citations per year

Countries citing papers authored by David Vrána

Since Specialization
Citations

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

Fields of papers citing papers by David Vrána

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Vrána, 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 David Vrána Line = papers co-authored together David Vrána links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013118
2 2018113
3 2010112
4 201468
5 199364
6 201555
7 201150
8 202048
9 201846
10 201837
11 201737
12 201936
13 201834
14 201027
15 202126
16 201825
17 201424
18 202022
19 201520
20 201620

About David Vrána

David Vrána is a scholar working on Molecular Biology, Cancer Research, Surgery, Oncology and Pulmonary and Respiratory Medicine, having authored 67 papers that have together received 1.3k indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (8 papers), Breast Cancer Treatment Studies (7 papers), Metabolomics and Mass Spectrometry Studies (7 papers), Gastric Cancer Management and Outcomes (5 papers), Mass Spectrometry Techniques and Applications (5 papers), Cancer Genomics and Diagnostics (4 papers), Drug Transport and Resistance Mechanisms (4 papers) and Cholesterol and Lipid Metabolism (3 papers). The work is most often cited by research in Cancer Research (299 citations), Oncology (306 citations), Molecular Biology (578 citations), Spectroscopy (133 citations) and Nutrition and Dietetics (110 citations). David Vrána has collaborated with scholars based in Czechia, United Kingdom and Japan. Frequent co-authors include Bohuslav Melichar, Pavel Souček, Jiří Gatěk, Michal Holčapek, Veronika Brynychová, Eva Cífková, Miroslav Lísa, Viktor Hlaváč, Robert Jirásko and R Aujeský. Their work appears in journals such as International Journal of Molecular Sciences, Analytical and Bioanalytical Chemistry, Anticancer Research, Molecular Diagnosis & Therapy and Carcinogenesis.

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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