Iryna Rusanova
Impact in
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- Circadian rhythm and melatonin
- Aging top 10%
Papers in
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- Circadian rhythm and melatonin 15
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- MicroRNA in disease regulation 5
- Co-authors
- Darı́o Acuña-Castroviejo (26 shared papers)Germaine Escames (25 shared papers)Javier Florido (9 shared papers)Marisol Fernández‐Ortiz (10 shared papers)Ana Guerra‐Librero (9 shared papers)Luis Carlos López (6 shared papers)Laura Martínez-Ruiz (6 shared papers)Ramy K. A. Sayed (8 shared papers)
- Journals
- Antioxidants (7 papers)International Journal of Molecular Sciences (4 papers)Journal of Pineal Research (2 papers)Cardiovascular Diabetology (1 paper)Experimental Gerontology (1 paper)
- Partner nations
- SpainEgyptKazakhstan
In The Last Decade
Iryna Rusanova
31 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 102
- Endocrine and Autonomic Systems 412
- Aging 42
- Biological Psychiatry 50
- Rehabilitation 63
- Geriatrics and Gerontology 27
Countries citing papers authored by Iryna Rusanova
This map shows the geographic impact of Iryna Rusanova'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 Iryna Rusanova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iryna Rusanova more than expected).
Fields of papers citing papers by Iryna Rusanova
This network shows the impact of papers produced by Iryna Rusanova. 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 Iryna Rusanova. The network helps show where Iryna Rusanova may publish in the future.
Co-authors
The 25 scholars most cited alongside Iryna Rusanova, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 154 | |
| 2 | 2017 | 91 | |
| 3 | 2017 | 89 | |
| 4 | 2019 | 79 | |
| 5 | 2015 | 79 | |
| 6 | 2020 | 55 | |
| 7 | 2017 | 53 | |
| 8 | 2017 | 49 | |
| 9 | 2022 | 43 | |
| 10 | 2010 | 42 | |
| 11 | 2018 | 40 | |
| 12 | 2019 | 40 | |
| 13 | 2021 | 35 | |
| 14 | 2015 | 35 | |
| 15 | 2019 | 32 | |
| 16 | 2017 | 28 | |
| 17 | 2021 | 21 | |
| 18 | 2017 | 18 | |
| 19 | 2022 | 15 | |
| 20 | 2022 | 15 |
About Iryna Rusanova
Iryna Rusanova is a scholar working on Endocrine and Autonomic Systems, Cancer Research, Molecular Biology, Genetics and Physiology, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (15 papers), MicroRNA in disease regulation (5 papers), Inflammasome and immune disorders (4 papers), Mitochondrial Function and Pathology (3 papers), Extracellular vesicles in disease (3 papers), Tryptophan and brain disorders (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (412 citations), Aging (42 citations), Biological Psychiatry (50 citations), Rehabilitation (63 citations) and Geriatrics and Gerontology (27 citations). Iryna Rusanova has collaborated with scholars based in Spain, Egypt and Kazakhstan. Frequent co-authors include Darı́o Acuña-Castroviejo, Germaine Escames, Javier Florido, Marisol Fernández‐Ortiz, Ana Guerra‐Librero, Luis Carlos López, Laura Martínez-Ruiz, Ramy K. A. Sayed, María Elena Díaz-Casado and César Rodríguez-Santana. Their work appears in journals such as Antioxidants, International Journal of Molecular Sciences, Journal of Pineal Research, Cardiovascular Diabetology and Experimental Gerontology.
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.