Ivan Butenko
Impact in
- Microbiology top 5%
- Microbial infections and disease research
- Genetics top 10%
- Mesenchymal stem cell research
Papers in
-
- RNA and protein synthesis mechanisms 7
- Gut microbiota and health 3
- Ecology 12
- Bacteriophages and microbial interactions 9
- Microbial Community Ecology and Physiology 3
- Co-authors
- Vadim M. Govorun (31 shared papers)Olga V. Pobeguts (15 shared papers)Georgij Arapidi (11 shared papers)Ilya Altukhov (6 shared papers)В. Н. Лазарев (4 shared papers)Nikolay A. Anikanov (9 shared papers)Gleb Y. Fisunov (10 shared papers)Daria Kharlampieva (2 shared papers)
- Journals
- Scientific Reports (5 papers)Data in Brief (4 papers)Toxins (3 papers)Frontiers in Microbiology (2 papers)Bioinformatics (1 paper)
- Partner nations
- RussiaTajikistanUnited States
In The Last Decade
Ivan Butenko
37 papers receiving 808 citations
Peers
Comparison fields: 5 of 93
- Microbiology 119
- Genetics 84
- Molecular Biology 484
- Cancer Research 91
- Endocrinology 26
Countries citing papers authored by Ivan Butenko
This map shows the geographic impact of Ivan Butenko'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 Butenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Butenko more than expected).
Fields of papers citing papers by Ivan Butenko
This network shows the impact of papers produced by Ivan Butenko. 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 Butenko. The network helps show where Ivan Butenko may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Butenko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 124 | |
| 2 | 2017 | 102 | |
| 3 | 2014 | 100 | |
| 4 | 2019 | 56 | |
| 5 | 2012 | 45 | |
| 6 | 2018 | 39 | |
| 7 | 2019 | 34 | |
| 8 | 2016 | 30 | |
| 9 | 2017 | 28 | |
| 10 | 2018 | 28 | |
| 11 | 2016 | 21 | |
| 12 | 2020 | 21 | |
| 13 | 2020 | 18 | |
| 14 | 2017 | 16 | |
| 15 | 2017 | 15 | |
| 16 | 2020 | 13 | |
| 17 | 2018 | 13 | |
| 18 | 2016 | 13 | |
| 19 | 2021 | 11 | |
| 20 | 2018 | 10 |
About Ivan Butenko
Ivan Butenko is a scholar working on Molecular Biology, Ecology, Microbiology, Infectious Diseases and Immunology, having authored 38 papers that have together received 815 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (9 papers), Microbial infections and disease research (7 papers), RNA and protein synthesis mechanisms (7 papers), Aquaculture disease management and microbiota (4 papers), Gut microbiota and health (3 papers), Microbial Community Ecology and Physiology (3 papers), Advanced Proteomics Techniques and Applications (2 papers) and Plant and Fungal Interactions Research (2 papers). The work is most often cited by research in Microbiology (119 citations), Genetics (84 citations), Molecular Biology (484 citations), Cancer Research (91 citations) and Endocrinology (26 citations). Ivan Butenko has collaborated with scholars based in Russia, Tajikistan and United States. Frequent co-authors include Vadim M. Govorun, Olga V. Pobeguts, Georgij Arapidi, Ilya Altukhov, В. Н. Лазарев, Nikolay A. Anikanov, Gleb Y. Fisunov, Daria Kharlampieva, Sergey I. Kovalchuk and Vadim T. Ivanov. Their work appears in journals such as Scientific Reports, Data in Brief, Toxins, Frontiers in Microbiology and Bioinformatics.
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.