Eugenia Rashkovetsky
- Genetics top 5%
- Ecology, Evolution, Behavior and Systematics top 5%
- Ecology top 10%
- Molecular Biology
- Plant Science
- Co-authors
- Eviatar NevoAbraham B. KorolAbraham KorolKonstantin G. IliadiPawel MichalakTomáš Pavlı́čekYefim RoninLin Kang
- Topics
- Genetic diversity and population structure (12 papers)Plant and animal studies (8 papers)Evolution and Genetic Dynamics (8 papers)
- Cited by
- AgingEcological ModelingGenetics
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsProceedings of the Royal Society B Biological Sciences
- Partner nations
- IsraelUnited StatesCanada
In The Last Decade
Eugenia Rashkovetsky
21 papers receiving 633 citations
Peers
Comparison fields: 5 of 46
- Genetics 358
- Ecology, Evolution, Behavior and Systematics 225
- Ecology 194
- Molecular Biology 193
- Plant Science 118
Countries citing papers authored by Eugenia Rashkovetsky
This map shows the geographic impact of Eugenia Rashkovetsky'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 Eugenia Rashkovetsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugenia Rashkovetsky more than expected).
Fields of papers citing papers by Eugenia Rashkovetsky
This network shows the impact of papers produced by Eugenia Rashkovetsky. 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 Eugenia Rashkovetsky. The network helps show where Eugenia Rashkovetsky may publish in the future.
Co-authorship network of co-authors of Eugenia Rashkovetsky
This figure shows the co-authorship network connecting the top 25 collaborators of Eugenia Rashkovetsky. A scholar is included among the top collaborators of Eugenia Rashkovetsky 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 Eugenia Rashkovetsky. Eugenia Rashkovetsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 9 | |
| 3 | 37 | |
| 4 | 37 | |
| 5 | 21 | |
| 6 | 37 | |
| 7 | 27 | |
| 8 | 28 | |
| 9 | 28 | |
| 10 | 4 | |
| 11 | 38 | |
| 12 | 11 | |
| 13 | 44 | |
| 14 | 23 | |
| 15 | 46 | |
| 16 | 7 | |
| 17 | 17 | |
| 18 | 33 | |
| 19 | 94 | |
| 20 | 83 |
About Eugenia Rashkovetsky
Eugenia Rashkovetsky is a scholar working on Ecological Modeling, Genetics and Aging, having authored 21 papers that have together received 640 indexed citations. Recurring topics across this work include Genetic diversity and population structure (12 papers), Plant and animal studies (8 papers) and Evolution and Genetic Dynamics (8 papers). The work is most often cited by research in Aging (27 citations), Ecological Modeling (57 citations) and Genetics (358 citations). Eugenia Rashkovetsky has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Eviatar Nevo, Abraham B. Korol, Abraham Korol, Konstantin G. Iliadi, Pawel Michalak, Eviatar Nevo, Tomáš Pavlı́ček, Yefim Ronin, Lin Kang and Katarzyna Michalak. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Proceedings of the Royal Society B Biological Sciences.
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.