V. A. Brykov
- Genetics top 10%
- Nature and Landscape Conservation top 10%
- Molecular Biology
- Aquatic Science top 5%
- Ecology
- Co-authors
- Л. А. СкурихинаА. Г. ОлейникA. D. KukhlevskyN. E. PolyakovaИ. А. ЧерешневJian-Fang GuiLi ZhouLong Jiang
- Topics
- Genetic diversity and population structure (21 papers)Fish Ecology and Management Studies (11 papers)Identification and Quantification in Food (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaMolecular Phylogenetics and EvolutionJournal of Fish Biology
- Partner nations
- RussiaUnited StatesJapan
In The Last Decade
V. A. Brykov
34 papers receiving 347 citations
Peers
Comparison fields: 5 of 41
- Genetics 246
- Nature and Landscape Conservation 141
- Molecular Biology 125
- Aquatic Science 97
- Ecology 78
Countries citing papers authored by V. A. Brykov
This map shows the geographic impact of V. A. Brykov'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 V. A. Brykov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. A. Brykov more than expected).
Fields of papers citing papers by V. A. Brykov
This network shows the impact of papers produced by V. A. Brykov. 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 V. A. Brykov. The network helps show where V. A. Brykov may publish in the future.
Co-authorship network of co-authors of V. A. Brykov
This figure shows the co-authorship network connecting the top 25 collaborators of V. A. Brykov. A scholar is included among the top collaborators of V. A. Brykov 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 V. A. Brykov. V. A. Brykov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 11 | |
| 6 | 5 | |
| 7 | 6 | |
| 8 | A bayesian cross-validation approach to evaluate genetic baselines and forecast the necessary number of informative single nucleotide polymorphisms | 1 |
| 9 | 5 | |
| 10 | 50 | |
| 11 | 20 | |
| 12 | 16 | |
| 13 | 16 | |
| 14 | 40 | |
| 15 | 11 | |
| 16 | 48 | |
| 17 | 5 | |
| 18 | 5 | |
| 19 | A study of mitochondrial DNA variation in populations of chum salmon Oncorhynchus keta Walbaum from rivers of Primorye and the Sakhalin Island. | 5 |
| 20 | 1 |
About V. A. Brykov
V. A. Brykov is a scholar working on Aquatic Science, Nature and Landscape Conservation and Genetics, having authored 36 papers that have together received 359 indexed citations. Recurring topics across this work include Genetic diversity and population structure (21 papers), Fish Ecology and Management Studies (11 papers) and Identification and Quantification in Food (10 papers). The work is most often cited by research in Aquatic Science (97 citations), Nature and Landscape Conservation (141 citations) and Genetics (246 citations). V. A. Brykov has collaborated with scholars based in Russia, United States and Japan. Frequent co-authors include Л. А. Скурихина, А. Г. Олейник, A. D. Kukhlevsky, N. E. Polyakova, И. А. Черешнев, Jian-Fang Gui, Li Zhou, Long Jiang, Koji Nagashima and С. В. Фролов. Their work appears in journals such as SHILAP Revista de lepidopterología, Molecular Phylogenetics and Evolution and Journal of Fish 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.