Mikhail Krivonosov
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- Neuroinflammation and Neurodegeneration Mechanisms 4
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- Neuroscience and Neuropharmacology Research 9
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- Neural dynamics and brain function 6
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- Advanced Memory and Neural Computing 4
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- Epigenetics and DNA Methylation 4
- Mitochondrial Function and Pathology 3
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- Down syndrome and intellectual disability research 2
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- Machine Learning in Healthcare 2
- Co-authors
- Mikhail IvanchenkoMaria V. VedunovaAlexey ZaikinSusanna GordleevaAlexander N. GorbanVictor KazantsevAlena KalyakulinaClaudio Franceschi
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)International Journal of Molecular Sciences (6 papers)
- Partner nations
- RussiaUnited KingdomItaly
In The Last Decade
Mikhail Krivonosov
25 papers receiving 302 citations
Peers
Comparison fields: 5 of 79
- Neurology 58
- Cellular and Molecular Neuroscience 92
- Cognitive Neuroscience 89
- Aging 8
- Biological Psychiatry 11
Countries citing papers authored by Mikhail Krivonosov
This map shows the geographic impact of Mikhail Krivonosov'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 Mikhail Krivonosov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail Krivonosov more than expected).
Fields of papers citing papers by Mikhail Krivonosov
This network shows the impact of papers produced by Mikhail Krivonosov. 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 Mikhail Krivonosov. The network helps show where Mikhail Krivonosov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mikhail Krivonosov, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 5 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 8 | |
| 10 | 2022 | 2 | |
| 11 | 2022 | 5 | |
| 12 | 2022 | 32 | |
| 13 | 2022 | 6 | |
| 14 | 2022 | 2 | |
| 15 | 2021 | 50 | |
| 16 | 2021 | 13 | |
| 17 | 2020 | 1 | |
| 18 | 2020 | 19 | |
| 19 | 2020 | 12 | |
| 20 | 2018 | 6 |
About Mikhail Krivonosov
Mikhail Krivonosov is a scholar working on Neurology, Cellular and Molecular Neuroscience and Biological Psychiatry, having authored 29 papers that have together received 303 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (9 papers), Neural dynamics and brain function (6 papers), Advanced Memory and Neural Computing (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Epigenetics and DNA Methylation (4 papers), Mitochondrial Function and Pathology (3 papers), Down syndrome and intellectual disability research (2 papers) and Machine Learning in Healthcare (2 papers). The work is most often cited by research in Neurology (58 citations), Cellular and Molecular Neuroscience (92 citations) and Cognitive Neuroscience (89 citations). Mikhail Krivonosov has collaborated with scholars based in Russia, United Kingdom and Italy. Frequent co-authors include Mikhail Ivanchenko, Maria V. Vedunova, Alexey Zaikin, Susanna Gordleeva, Alexander N. Gorban, Victor Kazantsev, Alena Kalyakulina, Claudio Franceschi, Maria Giulia Bacalini and Igor Yusipov. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE 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.