Ewa Sikora
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Molecular Medicine top 0.5%
- Curcumin's Biomedical Applications
Papers in
- Aging 10
- Genetics, Aging, and Longevity in Model Organisms 10
-
- Curcumin's Biomedical Applications 24
- Co-authors
- Anna Bielak-ŻmijewskaGrażyna MosieniakKatarzyna PiwockaWioleta GrabowskaMałgorzata Alicja ŚliwińskaClaudio FranceschiAdriana MagalskaEwa Radziszewska
In The Last Decade
Ewa Sikora
127 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Aging 368
- Molecular Medicine 878
- Geriatrics and Gerontology 339
- Physiology 1.7k
- Molecular Biology 2.7k
Countries citing papers authored by Ewa Sikora
This map shows the geographic impact of Ewa Sikora'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 Ewa Sikora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ewa Sikora more than expected).
Fields of papers citing papers by Ewa Sikora
This network shows the impact of papers produced by Ewa Sikora. 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 Ewa Sikora. The network helps show where Ewa Sikora may publish in the future.
Co-authors
The 25 scholars most cited alongside Ewa Sikora, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 7 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | Cellular Senescence in Brain Aging Hit paper breakdown → | 2021 | 199 |
| 5 | 2020 | 8 | |
| 6 | 2019 | 86 | |
| 7 | 2019 | 36 | |
| 8 | 2016 | 78 | |
| 9 | 2014 | 12 | |
| 10 | 2013 | 71 | |
| 11 | 2013 | 29 | |
| 12 | 2012 | 50 | |
| 13 | Molekularne i komórkowe mechanizmy działania kurkuminy – dobroczynny wpływ na organizm | 2011 | 0 |
| 14 | 2005 | 58 | |
| 15 | Plany, dążenia i cele życiowe młodzieży z osiedli byłych PGR | 2001 | 0 |
| 16 | 2000 | 2 | |
| 17 | 1999 | 116 | |
| 18 | 1993 | 33 | |
| 19 | 1989 | 2 | |
| 20 | Udział aktywnych form tlenu w różnicowaniu, promocji nowotworu i starzeniu | 1989 | 1 |
About Ewa Sikora
Ewa Sikora is a scholar working on Aging, Molecular Medicine, Physiology, Neuropsychology and Physiological Psychology and Molecular Biology, having authored 131 papers that have together received 5.3k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (47 papers), Curcumin's Biomedical Applications (24 papers), DNA Repair Mechanisms (16 papers), RNA Interference and Gene Delivery (12 papers), Retinoids in leukemia and cellular processes (12 papers), Genomics, phytochemicals, and oxidative stress (11 papers), Genetics, Aging, and Longevity in Model Organisms (10 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (10 papers). The work is most often cited by research in Aging (368 citations), Molecular Medicine (878 citations), Geriatrics and Gerontology (339 citations), Physiology (1.7k citations) and Molecular Biology (2.7k citations). Ewa Sikora has collaborated with scholars based in Poland, Italy and Germany. Frequent co-authors include Anna Bielak-Żmijewska, Grażyna Mosieniak, Katarzyna Piwocka, Wioleta Grabowska, Małgorzata Alicja Śliwińska, Claudio Franceschi, Adriana Magalska, Ewa Radziszewska, Piotr Sunderland and Agnieszka Bojko. Their work appears in journals such as Mechanisms of Ageing and Development, Experimental Gerontology, Biogerontology, Cancer Letters and International Journal of Molecular 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.