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 8
- RNA Research and Splicing 3
- Porphyrin Metabolism and Disorders 2
- RNA modifications and cancer 2
- Machine Learning in Bioinformatics 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)Virag Sharma (1 shared paper)Olivier Fayet (1 shared paper)Andrew E. Firth (1 shared paper)Shiyuyun Tang (1 shared paper)
- Journals
- Molecular Biology and Evolution (2 papers)Nucleic Acids Research (2 papers)Journal of Bioinformatics and Computational Biology (2 papers)BMC Genomics (2 papers)International Journal of Molecular Sciences (1 paper)
- Partner nations
- RussiaUnited StatesIreland
In The Last Decade
Ivan Antonov
14 papers receiving 241 citations
Peers
Comparison fields: 5 of 46
- Cancer Research 45
- Molecular Biology 181
- Endocrinology 9
- Plant Science 54
- Ecology 32
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 | 42 | |
| 3 | 2011 | 39 | |
| 4 | 2010 | 25 | |
| 5 | 2013 | 24 | |
| 6 | 2012 | 12 | |
| 7 | 2012 | 12 | |
| 8 | 2018 | 11 | |
| 9 | 2020 | 11 | |
| 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, Endocrinology and Plant Science, having authored 15 papers that have together received 241 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (9 papers), Genomics and Phylogenetic Studies (8 papers), Cancer-related molecular mechanisms research (5 papers), RNA Research and Splicing (3 papers), Porphyrin Metabolism and Disorders (2 papers), Bacterial Genetics and Biotechnology (2 papers), RNA modifications and cancer (2 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Cancer Research (45 citations), Molecular Biology (181 citations), Endocrinology (9 citations), Plant Science (54 citations) and Ecology (32 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, Virag Sharma, Olivier Fayet, Andrew E. Firth, Shiyuyun Tang, Andrey V. Marakhonov and Barry Saville. Their work appears in journals such as Molecular Biology and Evolution, Nucleic Acids Research, Journal of Bioinformatics and Computational Biology, BMC Genomics and International Journal of Molecular 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.