Ondřej Slabý
- Cancer Research top 0.1%
- MicroRNA in disease regulation 127
- Cancer-related molecular mechanisms research 106
- Cancer Genomics and Diagnostics 19
- Molecular Biology top 1%
- Circular RNAs in diseases 79
- RNA modifications and cancer 30
- Extracellular vesicles in disease 13
- Genetics top 1%
- Glioma Diagnosis and Treatment 11
- Oncology top 5%
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- Renal cell carcinoma treatment 20
- Co-authors
- Marek SvobodaRostislav VyzulaJiří ŠáňaJaroslav MichálekLenka RadováPavel FabiánAdas DarinskasMarius Strioga
- Journals
- SHILAP Revista de lepidopterología (1 paper)Gastroenterology (1 paper)PLoS ONE (6 papers)
- Partner nations
- CzechiaUnited StatesAustria
In The Last Decade
Ondřej Slabý
259 papers receiving 8.1k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Cancer Research 5.3k
- Molecular Biology 5.7k
- Genetics 780
- Oncology 938
- Pulmonary and Respiratory Medicine 858
Countries citing papers authored by Ondřej Slabý
This map shows the geographic impact of Ondřej Slabý'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 Ondřej Slabý with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ondřej Slabý more than expected).
Fields of papers citing papers by Ondřej Slabý
This network shows the impact of papers produced by Ondřej Slabý. 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 Ondřej Slabý. The network helps show where Ondřej Slabý may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ondřej Slabý, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 5 | |
| 2 | 2023 | 4 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 12 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 7 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 2 | |
| 9 | 2022 | 3 | |
| 10 | 2021 | 17 | |
| 11 | 2021 | 18 | |
| 12 | 2019 | 5 | |
| 13 | 2018 | 48 | |
| 14 | 2017 | 8 | |
| 15 | 2017 | 9 | |
| 16 | 2016 | 61 | |
| 17 | Mutational analysis of primary and metastatic colorectal cancer samples underlying the resistance to cetuximab-based therapy | 2016 | 2 |
| 18 | 2016 | 15 | |
| 19 | Výsledky multimodální léčby glioblastoma multiforme:konsekutivní série 86 pacientů diagnostikovaných v letech2003–2009 | 2011 | 1 |
| 20 | Brain metastases in breast cancer: a retrospective cohort studyof 187 patients and prognostic markers determination. | 2007 | 1 |
About Ondřej Slabý
Ondřej Slabý is a scholar working on Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 278 papers that have together received 8.3k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (127 papers), Cancer-related molecular mechanisms research (106 papers), Circular RNAs in diseases (79 papers), RNA modifications and cancer (30 papers), Renal cell carcinoma treatment (20 papers), Cancer Genomics and Diagnostics (19 papers), Extracellular vesicles in disease (13 papers) and Glioma Diagnosis and Treatment (11 papers). The work is most often cited by research in Cancer Research (5.3k citations), Molecular Biology (5.7k citations) and Genetics (780 citations). Ondřej Slabý has collaborated with scholars based in Czechia, United States and Austria. Frequent co-authors include Marek Svoboda, Rostislav Vyzula, Jiří Šáňa, Jaroslav Michálek, Lenka Radová, Pavel Fabián, Adas Darinskas, Marius Strioga, Sowmya Viswanathan and Radek Lakomý. Their work appears in journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.
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.