Iulia Kotenko
Impact in
- Molecular Biology top 10%
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
- Renal and related cancers
- Genomics and Chromatin Dynamics
- Ubiquitin and proteasome pathways
- RNA Research and Splicing
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Epigenetics and DNA Methylation 2
- Ubiquitin and proteasome pathways 2
- Genomics and Chromatin Dynamics 2
- Fungal and yeast genetics research 1
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- Telomeres, Telomerase, and Senescence 2
- Co-authors
- Ihor R. Lemischka (2 shared papers)Natalia Ivanova (1 shared paper)Xenia Schafer (1 shared paper)Rong Lu (1 shared paper)John M. Levorse (1 shared paper)Christina J. DeCoste (1 shared paper)Radu Dobrin (1 shared paper)Michael D. Cole (5 shared papers)
- Journals
- Molecular and Cellular Biology (2 papers)Journal of Biological Chemistry (2 papers)PLoS Genetics (1 paper)PLoS ONE (1 paper)Oncogene (1 paper)
- Partner nations
- United StatesUnited KingdomNorway
In The Last Decade
Iulia Kotenko
11 papers receiving 1.4k citations
Iulia Kotenko's Hit Papers
Peers
Comparison fields: 5 of 96
- Molecular Biology 1.1k
- Cancer Research 163
- Aging 19
- Genetics 166
- Oncology 150
Countries citing papers authored by Iulia Kotenko
This map shows the geographic impact of Iulia Kotenko'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 Iulia Kotenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iulia Kotenko more than expected).
Fields of papers citing papers by Iulia Kotenko
This network shows the impact of papers produced by Iulia Kotenko. 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 Iulia Kotenko. The network helps show where Iulia Kotenko may publish in the future.
Co-authors
The 25 scholars most cited alongside Iulia Kotenko, 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 | Dissecting self-renewal in stem cells with RNA interference Hit paper breakdown → | 2006 | 795 |
| 2 | 2002 | 165 | |
| 3 | 2002 | 108 | |
| 4 | 2015 | 103 | |
| 5 | 2011 | 90 | |
| 6 | 2002 | 76 | |
| 7 | 2015 | 35 | |
| 8 | 2000 | 29 | |
| 9 | 2003 | 18 | |
| 10 | 2025 | 2 | |
| 11 | 2023 | 1 |
About Iulia Kotenko
Iulia Kotenko is a scholar working on Molecular Biology, Physiology, Genetics, Pharmacology and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 1.4k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (2 papers), Ubiquitin and proteasome pathways (2 papers), Telomeres, Telomerase, and Senescence (2 papers), Genomics and Chromatin Dynamics (2 papers), Virus-based gene therapy research (1 paper), Child and Adolescent Psychosocial and Emotional Development (1 paper), Fungal Biology and Applications (1 paper) and Fungal and yeast genetics research (1 paper). The work is most often cited by research in Molecular Biology (1.1k citations), Cancer Research (163 citations), Aging (19 citations), Genetics (166 citations) and Oncology (150 citations). Iulia Kotenko has collaborated with scholars based in United States, United Kingdom and Norway. Frequent co-authors include Ihor R. Lemischka, Natalia Ivanova, Xenia Schafer, Rong Lu, John M. Levorse, Christina J. DeCoste, Radu Dobrin, Michael D. Cole, Mikhail A. Nikiforov and John M. Sedivy. Their work appears in journals such as Molecular and Cellular Biology, Journal of Biological Chemistry, PLoS Genetics, PLoS ONE and Oncogene.
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.