Ivan Antonov
Impact in
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- Cancer-related molecular mechanisms research
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- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- RNA Research and Splicing
- Yeasts and Rust Fungi Studies
Papers in
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- RNA and protein synthesis mechanisms 9
- Genomics and Phylogenetic Studies 9
- Machine Learning in Bioinformatics 3
- RNA Research and Splicing 3
- RNA modifications and cancer 2
- Porphyrin Metabolism and Disorders 2
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- Cancer-related molecular mechanisms research 5
- Co-authors
- Mark Borodovsky (6 shared papers)Yulia A. Medvedeva (5 shared papers)Pavel V. Baranov (4 shared papers)John F. Atkins (3 shared papers)Andrew E. Firth (1 shared paper)Virag Sharma (1 shared paper)Olivier Fayet (1 shared paper)Shiyuyun Tang (1 shared paper)
- Journals
- BMC Genomics (2 papers)Journal of Bioinformatics and Computational Biology (2 papers)Molecular Biology and Evolution (2 papers)Nucleic Acids Research (2 papers)RNA Biology (1 paper)
- Partner nations
- RussiaUnited StatesIreland
In The Last Decade
Ivan Antonov
14 papers receiving 237 citations
Peers
Comparison fields: 5 of 51
- Cancer Research 48
- Molecular Biology 198
- Endocrinology 10
- Plant Science 56
- Ecology 34
Countries citing papers authored by Ivan Antonov
This map shows the geographic impact of Ivan Antonov'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 Ivan Antonov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Antonov more than expected).
Fields of papers citing papers by Ivan Antonov
This network shows the impact of papers produced by Ivan Antonov. 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 Ivan Antonov. The network helps show where Ivan Antonov may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Antonov, 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 | 2011 | 43 | |
| 2 | 2018 | 40 | |
| 3 | 2011 | 38 | |
| 4 | 2010 | 25 | |
| 5 | 2013 | 24 | |
| 6 | 2012 | 12 | |
| 7 | 2012 | 12 | |
| 8 | 2020 | 11 | |
| 9 | 2018 | 10 | |
| 10 | 2020 | 8 | |
| 11 | 2020 | 5 | |
| 12 | 2014 | 4 | |
| 13 | 2022 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2020 | 0 |
About Ivan Antonov
Ivan Antonov is a scholar working on Molecular Biology, Cancer Research, Genetics, Ecology and Endocrinology, having authored 15 papers that have together received 237 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (9 papers), Genomics and Phylogenetic Studies (9 papers), Cancer-related molecular mechanisms research (5 papers), Machine Learning in Bioinformatics (3 papers), RNA Research and Splicing (3 papers), Bacterial Genetics and Biotechnology (2 papers), RNA modifications and cancer (2 papers) and Porphyrin Metabolism and Disorders (2 papers). The work is most often cited by research in Cancer Research (48 citations), Molecular Biology (198 citations), Endocrinology (10 citations), Plant Science (56 citations) and Ecology (34 citations). Ivan Antonov has collaborated with scholars based in Russia, United States and Ireland. Frequent co-authors include Mark Borodovsky, Yulia A. Medvedeva, Pavel V. Baranov, John F. Atkins, Andrew E. Firth, Virag Sharma, Olivier Fayet, Shiyuyun Tang, Andrey V. Marakhonov and Brent McCallum. Their work appears in journals such as BMC Genomics, Journal of Bioinformatics and Computational Biology, Molecular Biology and Evolution, Nucleic Acids Research and RNA Biology.
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.