J.G. Atabekov
- Plant Science top 0.2%
- Molecular Biology top 5%
- Ecology top 1%
- Biotechnology top 0.2%
- Endocrinology top 0.2%
- Co-authors
- О. В. КарповаM. E. TalianskyН.П. РодионоваS. Yu. MorozovNikolai A. NikitinValerian V. DoljaSergey Y. MorozovAlexey A. Agranovsky
- Topics
- Plant Virus Research Studies (146 papers)Bacteriophages and microbial interactions (72 papers)Transgenic Plants and Applications (44 papers)
- Partner nations
- RussiaTajikistanFinland
In The Last Decade
J.G. Atabekov
166 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 87
- Plant Science 4.0k
- Molecular Biology 1.4k
- Ecology 1.2k
- Biotechnology 1.2k
- Endocrinology 1.0k
Countries citing papers authored by J.G. Atabekov
This map shows the geographic impact of J.G. Atabekov'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 J.G. Atabekov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.G. Atabekov more than expected).
Fields of papers citing papers by J.G. Atabekov
This network shows the impact of papers produced by J.G. Atabekov. 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 J.G. Atabekov. The network helps show where J.G. Atabekov may publish in the future.
Co-authorship network of co-authors of J.G. Atabekov
This figure shows the co-authorship network connecting the top 25 collaborators of J.G. Atabekov. A scholar is included among the top collaborators of J.G. Atabekov based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J.G. Atabekov. J.G. Atabekov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 9 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 40 | |
| 7 | 42 | |
| 8 | 54 | |
| 9 | 71 | |
| 10 | 85 | |
| 11 | 34 | |
| 12 | STIMULATION OF THE SYNTHESIS OF CELL-PROTEINS AND INHIBITION OF VIRAL-INFECTIONS BY CHITOSAN IN ISOLATED TOBACCO PROTOPLAST | 2 |
| 13 | 18 | |
| 14 | 131 | |
| 15 | Tobamovirus of the cruciferae family nucleotide-sequences of transport protein, capsid protein cistrones and 3'non-coding region | 2 |
| 16 | 43 | |
| 17 | 21 | |
| 18 | 10 | |
| 19 | 13 | |
| 20 | STUDY OF COMPLEXING OF SYNTHETIC OLIGODESOXYRIBONUCLEOTIDES WITH RNA OF PHAGE R17 | 1 |
About J.G. Atabekov
J.G. Atabekov is a scholar working on Endocrinology, Biotechnology and Plant Science, having authored 167 papers that have together received 4.8k indexed citations. Recurring topics across this work include Plant Virus Research Studies (146 papers), Bacteriophages and microbial interactions (72 papers) and Transgenic Plants and Applications (44 papers). The work is most often cited by research in Endocrinology (1.0k citations), Biotechnology (1.2k citations) and Plant Science (4.0k citations). J.G. Atabekov has collaborated with scholars based in Russia, Tajikistan and Finland. Frequent co-authors include О. В. Карпова, M. E. Taliansky, Н.П. Родионова, S. Yu. Morozov, Nikolai A. Nikitin, Valerian V. Dolja, Sergey Y. Morozov, Alexey A. Agranovsky, Ivanov Pa and Yu. L. Dorokhov. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.
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.