Maxim Nikitchenko
Impact in
- Cell Biology top 10%
- Zebrafish Biomedical Research Applications
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
Papers in
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- Zebrafish Biomedical Research Applications 4
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- Neural dynamics and brain function 3
- Co-authors
- Florian Engert (5 shared papers)Owen Randlett (3 shared papers)Misha B. Ahrens (2 shared papers)Erin Yue Song (3 shared papers)Sam Martin Kunes (3 shared papers)Caroline Lei Wee (3 shared papers)Xiuye Chen (1 shared paper)Yu Hu (1 shared paper)
- Journals
- Nature Communications (2 papers)Neuron (1 paper)eLife (1 paper)Neural Computation (1 paper)Nature Neuroscience (1 paper)
- Partner nations
- United StatesSingaporeUnited Kingdom
In The Last Decade
Maxim Nikitchenko
8 papers receiving 272 citations
Peers
Comparison fields: 5 of 62
- Cell Biology 138
- Cognitive Neuroscience 104
- Endocrine and Autonomic Systems 31
- Cellular and Molecular Neuroscience 80
- Biophysics 20
Countries citing papers authored by Maxim Nikitchenko
This map shows the geographic impact of Maxim Nikitchenko'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 Maxim Nikitchenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxim Nikitchenko more than expected).
Fields of papers citing papers by Maxim Nikitchenko
This network shows the impact of papers produced by Maxim Nikitchenko. 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 Maxim Nikitchenko. The network helps show where Maxim Nikitchenko may publish in the future.
Co-authors
The 25 scholars most cited alongside Maxim Nikitchenko, 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 | 2018 | 110 | |
| 2 | 2019 | 54 | |
| 3 | 2019 | 53 | |
| 4 | 2022 | 32 | |
| 5 | 2021 | 16 | |
| 6 | 2008 | 7 | |
| 7 | 2004 | 4 | |
| 8 | 2025 | 2 | |
| 9 | An expectation-maximization Fokker-Planck algorithm for the noisy integrate-and-fir e model | 2007 | 2 |
About Maxim Nikitchenko
Maxim Nikitchenko is a scholar working on Cell Biology, Cognitive Neuroscience, Ecology, Cellular and Molecular Neuroscience and Developmental Biology, having authored 9 papers that have together received 280 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (4 papers), Neural dynamics and brain function (3 papers), Neuroendocrine regulation and behavior (2 papers), Marine animal studies overview (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Animal Vocal Communication and Behavior (1 paper), Advanced Chemical Physics Studies (1 paper) and Molecular Spectroscopy and Structure (1 paper). The work is most often cited by research in Cell Biology (138 citations), Cognitive Neuroscience (104 citations), Endocrine and Autonomic Systems (31 citations), Cellular and Molecular Neuroscience (80 citations) and Biophysics (20 citations). Maxim Nikitchenko has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include Florian Engert, Owen Randlett, Misha B. Ahrens, Erin Yue Song, Sam Martin Kunes, Caroline Lei Wee, Xiuye Chen, Yu Hu, Alex Chen and Yu Mu. Their work appears in journals such as Nature Communications, Neuron, eLife, Neural Computation and Nature Neuroscience.
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.