Kairat Tabynov
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research 7
- Viral gastroenteritis research and epidemiology 4
- Animal Science and Zoology top 10%
- Animal Virus Infections Studies 7
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- Animal Disease Management and Epidemiology 4
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- Influenza Virus Research Studies 7
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- Bacillus and Francisella bacterial research 5
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- Zoonotic diseases and public health 5
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- Virus-based gene therapy research 3
- Co-authors
- Gourapura J. RenukaradhyaKaissar TabynovSantosh DhakalNikolai PetrovskyKang OuyangBasavaraj BinjawadagiSteven KrakowkaBalaji Narasimhan
- Journals
- The Journal of Immunology (1 paper)Scientific Reports (1 paper)Journal of Controlled Release (1 paper)
- Partner nations
- KazakhstanUnited StatesAustralia
In The Last Decade
Kairat Tabynov
23 papers receiving 264 citations
Peers
Comparison fields: 5 of 67
- Infectious Diseases 130
- Animal Science and Zoology 47
- Pharmaceutical Science 23
- Immunology 76
- Agronomy and Crop Science 29
Countries citing papers authored by Kairat Tabynov
This map shows the geographic impact of Kairat Tabynov'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 Kairat Tabynov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kairat Tabynov more than expected).
Fields of papers citing papers by Kairat Tabynov
This network shows the impact of papers produced by Kairat Tabynov. 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 Kairat Tabynov. The network helps show where Kairat Tabynov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kairat Tabynov, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 13 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 10 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 15 | |
| 11 | 2021 | 7 | |
| 12 | 2021 | 2 | |
| 13 | 2021 | 24 | |
| 14 | 2019 | 6 | |
| 15 | 2018 | 1 | |
| 16 | 2017 | 97 | |
| 17 | 2016 | 2 | |
| 18 | 2016 | 18 | |
| 19 | 2016 | 15 | |
| 20 | BEI-inactivated PRRs vaccine adjuvanted with montanidetm Gel 01 St elicits virus specific crossprotective immune responses in piglets | 2014 | 1 |
About Kairat Tabynov
Kairat Tabynov is a scholar working on Infectious Diseases, Animal Science and Zoology and Immunology and Allergy, having authored 25 papers that have together received 274 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (7 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Animal Virus Infections Studies (7 papers), Bacillus and Francisella bacterial research (5 papers), Zoonotic diseases and public health (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Animal Disease Management and Epidemiology (4 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Infectious Diseases (130 citations), Animal Science and Zoology (47 citations) and Pharmaceutical Science (23 citations). Kairat Tabynov has collaborated with scholars based in Kazakhstan, United States and Australia. Frequent co-authors include Gourapura J. Renukaradhya, Kaissar Tabynov, Santosh Dhakal, Nikolai Petrovsky, Kang Ouyang, Basavaraj Binjawadagi, Steven Krakowka, Balaji Narasimhan, Yashavanth Shaan Lakshmanappa and Jonathan T. Goodman. Their work appears in journals such as The Journal of Immunology, Scientific Reports and Journal of Controlled Release.
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.