Anna V. Goropashnaya
- Ecology, Evolution, Behavior and Systematics top 2%
- Genetics top 5%
- Ecology top 5%
- Physiology top 10%
- Molecular Biology
- Co-authors
- Vadim B. FedorovPekka PamiloBrian M. BarnesJun YanØivind TøienJoseph A. CookMichael K. ShoweLouise C. Showe
- Topics
- Bat Biology and Ecology Studies (14 papers)Adipose Tissue and Metabolism (14 papers)Animal Ecology and Behavior Studies (10 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesSwedenChina
In The Last Decade
Anna V. Goropashnaya
30 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 89
- Ecology, Evolution, Behavior and Systematics 528
- Genetics 427
- Ecology 377
- Physiology 280
- Molecular Biology 155
Countries citing papers authored by Anna V. Goropashnaya
This map shows the geographic impact of Anna V. Goropashnaya'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. Goropashnaya 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. Goropashnaya more than expected).
Fields of papers citing papers by Anna V. Goropashnaya
This network shows the impact of papers produced by Anna V. Goropashnaya. 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. Goropashnaya. The network helps show where Anna V. Goropashnaya may publish in the future.
Co-authorship network of co-authors of Anna V. Goropashnaya
This figure shows the co-authorship network connecting the top 25 collaborators of Anna V. Goropashnaya. A scholar is included among the top collaborators of Anna V. Goropashnaya 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. Goropashnaya. Anna V. Goropashnaya 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 | 0 | |
| 4 | 4 | |
| 5 | 6 | |
| 6 | 11 | |
| 7 | 28 | |
| 8 | 46 | |
| 9 | 30 | |
| 10 | 90 | |
| 11 | 29 | |
| 12 | 13 | |
| 13 | 81 | |
| 14 | 45 | |
| 15 | 14 | |
| 16 | Phylogeography and population structure in the ant Formica exsecta (Hymenoptera, Formicidae) across Eurasia as reflected by mitochondrial DNA variation and microsatellites | 30 |
| 17 | 76 | |
| 18 | 36 | |
| 19 | 54 | |
| 20 | 72 |
About Anna V. Goropashnaya
Anna V. Goropashnaya is a scholar working on Ecological Modeling, Ecology, Evolution, Behavior and Systematics and Ecology, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bat Biology and Ecology Studies (14 papers), Adipose Tissue and Metabolism (14 papers) and Animal Ecology and Behavior Studies (10 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (528 citations), Ecological Modeling (115 citations) and Genetics (427 citations). Anna V. Goropashnaya has collaborated with scholars based in United States, Sweden and China. Frequent co-authors include Vadim B. Fedorov, Pekka Pamilo, Brian M. Barnes, Jun Yan, Øivind Tøien, Joseph A. Cook, Michael K. Showe, Louise C. Showe, Celia Chang and Karl Fredga. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología 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.