Danton Ivanochko
Impact in
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- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- RNA modifications and cancer
- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- Ubiquitin and proteasome pathways
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- Cancer-related Molecular Pathways
Papers in
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- Genomics and Chromatin Dynamics 3
- Epigenetics and DNA Methylation 3
- RNA modifications and cancer 2
- Cancer-related gene regulation 2
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- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- David J. Picketts (2 shared papers)Matthieu Schapira (1 shared paper)Renato Ferreira de Freitas (1 shared paper)C.H. Arrowsmith (3 shared papers)Matthew Todd (1 shared paper)Keqin Yan (1 shared paper)Emma C Goodall (1 shared paper)Michael S. Huh (1 shared paper)
- Journals
- Nucleic Acids Research (1 paper)Genes (1 paper)Cell Death and Disease (1 paper)Nature Structural & Molecular Biology (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Danton Ivanochko
9 papers receiving 327 citations
Peers
Comparison fields: 5 of 51
- Molecular Biology 263
- Oncology 88
- Cell Biology 47
- Cancer Research 38
- Hematology 22
Countries citing papers authored by Danton Ivanochko
This map shows the geographic impact of Danton Ivanochko'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 Danton Ivanochko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danton Ivanochko more than expected).
Fields of papers citing papers by Danton Ivanochko
This network shows the impact of papers produced by Danton Ivanochko. 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 Danton Ivanochko. The network helps show where Danton Ivanochko may publish in the future.
Co-authors
The 25 scholars most cited alongside Danton Ivanochko, 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 | 2017 | 126 | |
| 2 | 2016 | 68 | |
| 3 | 2017 | 33 | |
| 4 | 2019 | 33 | |
| 5 | 2015 | 31 | |
| 6 | 2018 | 28 | |
| 7 | 2022 | 6 | |
| 8 | 2025 | 2 | |
| 9 | 2025 | 1 | |
| 10 | 2024 | 0 | |
| 11 | 2025 | 0 | |
| 12 | 2025 | 0 | |
| 13 | 2025 | 0 |
About Danton Ivanochko
Danton Ivanochko is a scholar working on Molecular Biology, Infectious Diseases, Oncology, Public Health, Environmental and Occupational Health and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 328 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), Epigenetics and DNA Methylation (3 papers), Malaria Research and Control (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), RNA modifications and cancer (2 papers), Cancer-related gene regulation (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Molecular Biology (263 citations), Oncology (88 citations), Cell Biology (47 citations), Cancer Research (38 citations) and Hematology (22 citations). Danton Ivanochko has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include David J. Picketts, Matthieu Schapira, Renato Ferreira de Freitas, C.H. Arrowsmith, Matthew Todd, Keqin Yan, Emma C Goodall, Michael S. Huh, Jonghyeob Lee and Christina Curtis. Their work appears in journals such as Nucleic Acids Research, Genes, Cell Death and Disease, Nature Structural & Molecular Biology and Journal of Biological Chemistry.
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.