Anna V. Kukekova
- Genetics top 2%
- Molecular Biology
- Plant Science top 10%
- Social Psychology top 10%
- Ecology top 10%
- Co-authors
- Gregory M. AclandJennifer L. JohnsonLyudmila N. TrutOrly GoldsteinGeoffrey K. AguirreAnastasiya V. KharlamovaР. Г. ГулевичAlexander S. Graphodatsky
- Topics
- Human-Animal Interaction Studies (17 papers)Genomics and Phylogenetic Studies (9 papers)Genetic Mapping and Diversity in Plants and Animals (8 papers)
- Partner nations
- United StatesRussiaUnited Kingdom
In The Last Decade
Anna V. Kukekova
48 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 94
- Genetics 730
- Molecular Biology 500
- Plant Science 238
- Social Psychology 165
- Ecology 135
Countries citing papers authored by Anna V. Kukekova
This map shows the geographic impact of Anna V. Kukekova'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 Anna V. Kukekova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna V. Kukekova more than expected).
Fields of papers citing papers by Anna V. Kukekova
This network shows the impact of papers produced by Anna V. Kukekova. 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 Anna V. Kukekova. The network helps show where Anna V. Kukekova may publish in the future.
Co-authorship network of co-authors of Anna V. Kukekova
This figure shows the co-authorship network connecting the top 25 collaborators of Anna V. Kukekova. A scholar is included among the top collaborators of Anna V. Kukekova 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 Anna V. Kukekova. Anna V. Kukekova 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 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 19 | |
| 6 | 36 | |
| 7 | 23 | |
| 8 | 51 | |
| 9 | 24 | |
| 10 | 28 | |
| 11 | 40 | |
| 12 | 40 | |
| 13 | 51 | |
| 14 | 48 | |
| 15 | The Mutant Gene Causing Canine Early Retinal Degeneration Identifies a Novel Pathway Critical for Photoreceptor Development | 2 |
| 16 | 12 | |
| 17 | Fine Mapping of the Canine Rod Cone Dysplasia Type 2 Locus (rcd2) | 1 |
| 18 | 15 | |
| 19 | 43 | |
| 20 | Klonirovanie i ekspressiia gena kliuchevogo belka deleniia FtsZ mikoplazmy v Escherichia coli. | 1 |
About Anna V. Kukekova
Anna V. Kukekova is a scholar working on Genetics, Virology and Small Animals, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Human-Animal Interaction Studies (17 papers), Genomics and Phylogenetic Studies (9 papers) and Genetic Mapping and Diversity in Plants and Animals (8 papers). The work is most often cited by research in Genetics (730 citations), Developmental Biology (31 citations) and Small Animals (105 citations). Anna V. Kukekova has collaborated with scholars based in United States, Russia and United Kingdom. Frequent co-authors include Gregory M. Acland, Jennifer L. Johnson, Lyudmila N. Trut, Orly Goldstein, Geoffrey K. Aguirre, Anastasiya V. Kharlamova, Р. Г. Гулевич, Alexander S. Graphodatsky, Svetlana V. Temnykh and Anastasiya V. Vladimirova. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience 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.