Olga E. Redina
Impact in
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
Papers in
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- Receptor Mechanisms and Signaling 4
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- Hormonal Regulation and Hypertension 18
- Diet, Metabolism, and Disease 6
- Co-authors
- А. L. Markel (37 shared papers)Michael A. Frohman (4 shared papers)Nikita Ershov (13 shared papers)В. М. Ефимов (7 shared papers)Larisa Fedoseeva (16 shared papers)Yelena M. Altshuller (2 shared papers)A. L. Markel (6 shared papers)Hervé Chneiweiss (1 shared paper)
- Journals
- International Journal of Molecular Sciences (7 papers)Genes (5 papers)BMC Genetics (4 papers)Clinical and Experimental Hypertension (4 papers)BMC Genomics (2 papers)
- Partner nations
- RussiaUnited StatesUnited Kingdom
In The Last Decade
Olga E. Redina
66 papers receiving 544 citations
Peers
Comparison fields: 5 of 79
- Behavioral Neuroscience 68
- Aging 15
- Biochemistry 52
- Endocrinology, Diabetes and Metabolism 98
- Physiology 114
Countries citing papers authored by Olga E. Redina
This map shows the geographic impact of Olga E. Redina'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 Olga E. Redina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olga E. Redina more than expected).
Fields of papers citing papers by Olga E. Redina
This network shows the impact of papers produced by Olga E. Redina. 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 Olga E. Redina. The network helps show where Olga E. Redina may publish in the future.
Co-authors
The 25 scholars most cited alongside Olga E. Redina, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 55 | |
| 2 | 2000 | 52 | |
| 3 | 2006 | 28 | |
| 4 | 2006 | 27 | |
| 5 | 2016 | 25 | |
| 6 | 1994 | 20 | |
| 7 | 1998 | 19 | |
| 8 | 2016 | 19 | |
| 9 | 2016 | 18 | |
| 10 | 2018 | 17 | |
| 11 | 2013 | 15 | |
| 12 | 2013 | 15 | |
| 13 | 2016 | 14 | |
| 14 | 2020 | 13 | |
| 15 | 2019 | 13 | |
| 16 | 2015 | 13 | |
| 17 | 2016 | 13 | |
| 18 | 1998 | 11 | |
| 19 | 2014 | 11 | |
| 20 | 2020 | 9 |
About Olga E. Redina
Olga E. Redina is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology, Behavioral Neuroscience and Pediatrics, Perinatology and Child Health, having authored 69 papers that have together received 549 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (18 papers), Stress Responses and Cortisol (15 papers), Adipose Tissue and Metabolism (14 papers), Birth, Development, and Health (14 papers), Eicosanoids and Hypertension Pharmacology (6 papers), Diet, Metabolism, and Disease (6 papers), Neuroendocrine regulation and behavior (4 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Behavioral Neuroscience (68 citations), Aging (15 citations), Biochemistry (52 citations), Endocrinology, Diabetes and Metabolism (98 citations) and Physiology (114 citations). Olga E. Redina has collaborated with scholars based in Russia, United States and United Kingdom. Frequent co-authors include А. L. Markel, Michael A. Frohman, Nikita Ershov, В. М. Ефимов, Larisa Fedoseeva, Yelena M. Altshuller, A. L. Markel, Hervé Chneiweiss, S. Ya. Amstislavsky and Yue Zhang. Their work appears in journals such as International Journal of Molecular Sciences, Genes, BMC Genetics, Clinical and Experimental Hypertension and BMC Genomics.
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.