Nikolai L. Chepelev
- Molecular Biology
- Health, Toxicology and Mutagenesis top 5%
- Cancer Research top 10%
- Plant Science
- Computational Theory and Mathematics top 5%
- Co-authors
- William G. WillmoreCarole L. YaukByron KuoAndrew WilliamsIvy D. MoffatLeslie RecioWayne J. BowersRémi Gagné
- Topics
- Carcinogens and Genotoxicity Assessment (14 papers)Effects and risks of endocrine disrupting chemicals (10 papers)Genomics, phytochemicals, and oxidative stress (5 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Nikolai L. Chepelev
26 papers receiving 916 citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 424
- Health, Toxicology and Mutagenesis 332
- Cancer Research 239
- Plant Science 92
- Computational Theory and Mathematics 86
Countries citing papers authored by Nikolai L. Chepelev
This map shows the geographic impact of Nikolai L. Chepelev'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 Nikolai L. Chepelev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikolai L. Chepelev more than expected).
Fields of papers citing papers by Nikolai L. Chepelev
This network shows the impact of papers produced by Nikolai L. Chepelev. 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 Nikolai L. Chepelev. The network helps show where Nikolai L. Chepelev may publish in the future.
Co-authorship network of co-authors of Nikolai L. Chepelev
This figure shows the co-authorship network connecting the top 25 collaborators of Nikolai L. Chepelev. A scholar is included among the top collaborators of Nikolai L. Chepelev based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nikolai L. Chepelev. Nikolai L. Chepelev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 16 | |
| 3 | 55 | |
| 4 | 16 | |
| 5 | 135 | |
| 6 | 23 | |
| 7 | 61 | |
| 8 | 90 | |
| 9 | 46 | |
| 10 | 13 | |
| 11 | 49 | |
| 12 | 11 | |
| 13 | 128 | |
| 14 | 2 | |
| 15 | 37 | |
| 16 | 27 | |
| 17 | 29 | |
| 18 | 13 | |
| 19 | 88 | |
| 20 | 23 |
About Nikolai L. Chepelev
Nikolai L. Chepelev is a scholar working on Cancer Research, Health, Toxicology and Mutagenesis and Food Science, having authored 26 papers that have together received 937 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (14 papers), Effects and risks of endocrine disrupting chemicals (10 papers) and Genomics, phytochemicals, and oxidative stress (5 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (332 citations), Cancer Research (239 citations) and Small Animals (68 citations). Nikolai L. Chepelev has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include William G. Willmore, Carole L. Yauk, Byron Kuo, Andrew Williams, Ivy D. Moffat, Leslie Recio, Wayne J. Bowers, Rémi Gagné, Tara S. Barton‐Maclaren and Michael G. Wade. Their work appears in journals such as PLoS ONE, Free Radical Biology and Medicine and Chemosphere.
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.