Jiří Zavadil
- Cancer Research top 0.5%
- Cancer Genomics and Diagnostics 18
- MicroRNA in disease regulation 17
- Cancer-related molecular mechanisms research 8
- Molecular Biology top 0.5%
- Epigenetics and DNA Methylation 14
- Genomics and Chromatin Dynamics 13
- RNA modifications and cancer 11
- TGF-β signaling in diseases 9
- Oncology top 0.5%
- Immunology top 2%
- Nephrology top 1%
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- Acute Myeloid Leukemia Research 9
- Co-authors
- Erwin P. BöttingerLukáš C̆ermákMaude ArdinMagali OlivierZhan GaoIlseung ChoHuilin LiDouglas Mahana
- Journals
- Nature (2 papers)Science (1 paper)Proceedings of the National Academy of Sciences (5 papers)
- Partner nations
- United StatesFranceCzechia
In The Last Decade
Jiří Zavadil
144 papers receiving 12.4k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Cancer Research 2.7k
- Molecular Biology 8.1k
- Oncology 2.9k
- Immunology 1.3k
- Nephrology 414
Countries citing papers authored by Jiří Zavadil
This map shows the geographic impact of Jiří Zavadil'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 Jiří Zavadil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiří Zavadil more than expected).
Fields of papers citing papers by Jiří Zavadil
This network shows the impact of papers produced by Jiří Zavadil. 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 Jiří Zavadil. The network helps show where Jiří Zavadil may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jiří Zavadil, 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 | 2024 | 1 | |
| 2 | 2022 | 80 | |
| 3 | 2020 | 35 | |
| 4 | 2020 | 174 | |
| 5 | 2019 | 3 | |
| 6 | 2018 | 83 | |
| 7 | 2017 | 13 | |
| 8 | 2017 | 8 | |
| 9 | 2017 | 75 | |
| 10 | 2016 | 43 | |
| 11 | TGFβ Is a Master Regulator of Radiation Therapy-Induced Antitumor Immunitybreakdown → | 2015 | 413 |
| 12 | 2012 | 89 | |
| 13 | Aristolochic acid-associated urothelial cancer in Taiwanbreakdown → | 2012 | 311 |
| 14 | 2011 | 56 | |
| 15 | 2010 | 103 | |
| 16 | 2009 | 21 | |
| 17 | Manifestation of Preferential Flow and Nitrate Transport in Central European Soils on Acid Crystalline Rocks | 2006 | 1 |
| 18 | 2004 | 27 | |
| 19 | The need of supplemental irrigation in the Czech Republic | 2001 | 3 |
| 20 | The effect of soil management on washing-off nitrates and risk elements | 1997 | 0 |
About Jiří Zavadil
Jiří Zavadil is a scholar working on Cancer Research, Molecular Biology and Hematology, having authored 147 papers that have together received 12.6k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (18 papers), MicroRNA in disease regulation (17 papers), Epigenetics and DNA Methylation (14 papers), Genomics and Chromatin Dynamics (13 papers), RNA modifications and cancer (11 papers), Acute Myeloid Leukemia Research (9 papers), TGF-β signaling in diseases (9 papers) and Cancer-related molecular mechanisms research (8 papers). The work is most often cited by research in Cancer Research (2.7k citations), Molecular Biology (8.1k citations) and Oncology (2.9k citations). Jiří Zavadil has collaborated with scholars based in United States, France and Czechia. Frequent co-authors include Erwin P. Böttinger, Lukáš C̆ermák, Maude Ardin, Magali Olivier, Zhan Gao, Ilseung Cho, Huilin Li, Douglas Mahana, Martin J. Blaser and Alexander V. Alekseyenko. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.