Е. Г. Старостина
- Cellular and Molecular Neuroscience top 10%
- Genetics top 10%
- Ecology, Evolution, Behavior and Systematics top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Molecular Biology
- Co-authors
- Claudio W. PikielnyTong LiuV. A. VijayanHeping LinKevin MannG. R. GalstyanИ. И. ДедовZheng Zheng
- Topics
- Diabetes Management and Research (11 papers)Chronic Disease Management Strategies (9 papers)Neurobiology and Insect Physiology Research (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- United StatesRussiaUnited Kingdom
In The Last Decade
Е. Г. Старостина
40 papers receiving 473 citations
Peers
Comparison fields: 5 of 86
- Cellular and Molecular Neuroscience 233
- Genetics 180
- Ecology, Evolution, Behavior and Systematics 120
- Endocrinology, Diabetes and Metabolism 118
- Molecular Biology 69
Countries citing papers authored by Е. Г. Старостина
This map shows the geographic impact of Е. Г. Старостина'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 Е. Г. Старостина with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Е. Г. Старостина more than expected).
Fields of papers citing papers by Е. Г. Старостина
This network shows the impact of papers produced by Е. Г. Старостина. 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 Е. Г. Старостина. The network helps show where Е. Г. Старостина may publish in the future.
Co-authorship network of co-authors of Е. Г. Старостина
This figure shows the co-authorship network connecting the top 25 collaborators of Е. Г. Старостина. A scholar is included among the top collaborators of Е. Г. Старостина 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 Е. Г. Старостина. Е. Г. Старостина 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 | 2 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 18 | |
| 9 | 28 | |
| 10 | 33 | |
| 11 | 66 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | Anxiety and anxiety disorders in cardiology practice | 1 |
| 15 | 34 | |
| 16 | 62 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 63 | |
| 20 | 6 |
About Е. Г. Старостина
Е. Г. Старостина is a scholar working on Endocrinology, Diabetes and Metabolism, Biological Psychiatry and Behavioral Neuroscience, having authored 44 papers that have together received 497 indexed citations. Recurring topics across this work include Diabetes Management and Research (11 papers), Chronic Disease Management Strategies (9 papers) and Neurobiology and Insect Physiology Research (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (233 citations), Endocrinology, Diabetes and Metabolism (118 citations) and Genetics (180 citations). Е. Г. Старостина has collaborated with scholars based in United States, Russia and United Kingdom. Frequent co-authors include Claudio W. Pikielny, Tong Liu, V. A. Vijayan, Heping Lin, Kevin Mann, G. R. Galstyan, И. И. Дедов, Zheng Zheng, Kathleen K. Siwicki and М. Б. Анциферов. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.
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.