Е. В. Удут
Impact in
- Pharmacology top 2%
- Plant-based Medicinal Research
- Medicinal Plant Pharmacodynamics Research
- Berberine and alkaloids research
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
Papers in
- Oncology 28
- Cytokine Signaling Pathways and Interactions 14
- Cancer Cells and Metastasis 7
- Co-authors
- G. N. Zyuz’kov (69 shared papers)В. В. Жданов (72 shared papers)Е. В. Симанина (69 shared papers)L. А. Miroshnichenko (61 shared papers)А. М. Дыгай (64 shared papers)Л. А. Ставрова (51 shared papers)В. В. Удут (35 shared papers)М. Г. Данилец (16 shared papers)
- Journals
- Bulletin of Experimental Biology and Medicine (79 papers)Molecules (2 papers)Plants (1 paper)Journal of Medicinal Chemistry (1 paper)Nanomaterials (1 paper)
- Partner nations
- RussiaUnited KingdomCzechia
In The Last Decade
Е. В. Удут
83 papers receiving 454 citations
Peers
Comparison fields: 5 of 74
- Pharmacology 181
- Developmental Neuroscience 55
- Analytical Chemistry 61
- Oncology 138
- Neurology 37
Countries citing papers authored by Е. В. Удут
This map shows the geographic impact of Е. В. Удут'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. В. Удут with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Е. В. Удут more than expected).
Fields of papers citing papers by Е. В. Удут
This network shows the impact of papers produced by Е. В. Удут. 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. В. Удут. The network helps show where Е. В. Удут may publish in the future.
Co-authors
The 25 scholars most cited alongside Е. В. Удут, 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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 36 | |
| 2 | 2013 | 17 | |
| 3 | 2013 | 16 | |
| 4 | 2015 | 15 | |
| 5 | 2014 | 15 | |
| 6 | 2009 | 14 | |
| 7 | 2019 | 14 | |
| 8 | 2014 | 13 | |
| 9 | 2011 | 12 | |
| 10 | 2019 | 12 | |
| 11 | 2011 | 11 | |
| 12 | 2012 | 11 | |
| 13 | 2019 | 11 | |
| 14 | 2015 | 10 | |
| 15 | 2017 | 10 | |
| 16 | 2015 | 10 | |
| 17 | 2015 | 9 | |
| 18 | 2016 | 8 | |
| 19 | 2015 | 8 | |
| 20 | 2014 | 7 |
About Е. В. Удут
Е. В. Удут is a scholar working on Molecular Biology, Oncology, Pharmacology, Immunology and Cancer Research, having authored 99 papers that have together received 461 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (14 papers), Plant-based Medicinal Research (14 papers), Cancer Cells and Metastasis (7 papers), Erythrocyte Function and Pathophysiology (7 papers), Medicinal Plant Pharmacodynamics Research (7 papers), Chromatography in Natural Products (7 papers), Proteoglycans and glycosaminoglycans research (7 papers) and Cancer, Hypoxia, and Metabolism (6 papers). The work is most often cited by research in Pharmacology (181 citations), Developmental Neuroscience (55 citations), Analytical Chemistry (61 citations), Oncology (138 citations) and Neurology (37 citations). Е. В. Удут has collaborated with scholars based in Russia, United Kingdom and Czechia. Frequent co-authors include G. N. Zyuz’kov, В. В. Жданов, Е. В. Симанина, L. А. Miroshnichenko, А. М. Дыгай, Л. А. Ставрова, В. В. Удут, М. Г. Данилец, Н. И. Суслов and А. А. Семенов. Their work appears in journals such as Bulletin of Experimental Biology and Medicine, Molecules, Plants, Journal of Medicinal Chemistry and Nanomaterials.
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.