Inna Voloshina
- Genetics top 10%
- Ecology top 10%
- Molecular Biology
- Ecological Modeling
- Ecology, Evolution, Behavior and Systematics
- Co-authors
- Hang LeeMi‐Sook MinAlexander MyslenkovKyung Seok KimNikolay MarkovChang-Bae KimJunghwa AnYa‐Ping Zhang
- Topics
- Genetic diversity and population structure (16 papers)Genetic and phenotypic traits in livestock (12 papers)Wildlife Ecology and Conservation (9 papers)
- Cited by
- GeneticsEcologyEcological Modeling
- Partner nations
- South KoreaJapanUnited States
In The Last Decade
Inna Voloshina
17 papers receiving 290 citations
Peers
Comparison fields: 5 of 46
- Genetics 210
- Ecology 173
- Molecular Biology 81
- Ecological Modeling 28
- Ecology, Evolution, Behavior and Systematics 25
Countries citing papers authored by Inna Voloshina
This map shows the geographic impact of Inna Voloshina'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 Inna Voloshina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inna Voloshina more than expected).
Fields of papers citing papers by Inna Voloshina
This network shows the impact of papers produced by Inna Voloshina. 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 Inna Voloshina. The network helps show where Inna Voloshina may publish in the future.
Co-authorship network of co-authors of Inna Voloshina
This figure shows the co-authorship network connecting the top 25 collaborators of Inna Voloshina. A scholar is included among the top collaborators of Inna Voloshina 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 Inna Voloshina. Inna Voloshina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 22 | |
| 3 | 3 | |
| 4 | 14 | |
| 5 | 11 | |
| 6 | 5 | |
| 7 | 21 | |
| 8 | 36 | |
| 9 | 12 | |
| 10 | 17 | |
| 11 | 16 | |
| 12 | Genetic Diversity of Korean Tree Frog (Hyla suweonensis and Hyla japonica): Assessed by Mitochondrial Cytochrome b Gene and Cytochrome Oxidase Subunit I Gene | 9 |
| 13 | 31 | |
| 14 | 13 | |
| 15 | 34 | |
| 16 | Molecular phylogenetic status of the Korean goral and Japanese serow based on partial sequences of the mitochondrial cytochrome b gene. | 26 |
| 17 | 26 |
About Inna Voloshina
Inna Voloshina is a scholar working on Genetics, Ecology and Parasitology, having authored 17 papers that have together received 298 indexed citations. Recurring topics across this work include Genetic diversity and population structure (16 papers), Genetic and phenotypic traits in livestock (12 papers) and Wildlife Ecology and Conservation (9 papers). The work is most often cited by research in Genetics (210 citations), Ecology (173 citations) and Ecological Modeling (28 citations). Inna Voloshina has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Hang Lee, Mi‐Sook Min, Alexander Myslenkov, Kyung Seok Kim, Nikolay Markov, Chang-Bae Kim, Junghwa An, Ya‐Ping Zhang, Li Yu and Young Jun Kim. Their work appears in journals such as PLoS ONE, BMC Evolutionary Biology and Journal of Heredity.
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.