Maxim M. Bespalov
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms 4
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- Nerve injury and regeneration 11
- Axon Guidance and Neuronal Signaling 2
- Cell Biology top 10%
- Proteoglycans and glycosaminoglycans research 4
- Infectious Diseases top 10%
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- Signaling Pathways in Disease 5
- Metabolomics and Mass Spectrometry Studies 2
- Protein Structure and Dynamics 2
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- Mosquito-borne diseases and control 2
Maxim M. Bespalov
21 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 99
- Developmental Neuroscience 157
- Cellular and Molecular Neuroscience 391
- Aging 14
- Cell Biology 122
- Infectious Diseases 138
Countries citing papers authored by Maxim M. Bespalov
This map shows the geographic impact of Maxim M. Bespalov'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 M. Bespalov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxim M. Bespalov more than expected).
Fields of papers citing papers by Maxim M. Bespalov
This network shows the impact of papers produced by Maxim M. Bespalov. 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 M. Bespalov. The network helps show where Maxim M. Bespalov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maxim M. Bespalov, 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 | 2019 | 6 | |
| 2 | 2019 | 27 | |
| 3 | 2018 | 120 | |
| 4 | 2017 | 66 | |
| 5 | 2016 | 34 | |
| 6 | 2016 | 144 | |
| 7 | 2012 | 27 | |
| 8 | Small Molecular Weight ARTN Mimetic for the Treatment of Neuropathic Pain | 2012 | 2 |
| 9 | 2011 | 163 | |
| 10 | 2010 | 27 | |
| 11 | 2009 | 37 | |
| 12 | 2009 | 56 | |
| 13 | 2008 | 1 | |
| 14 | 2008 | 6 | |
| 15 | 2008 | 65 | |
| 16 | GDNF receptors as a drug target for neural repair | 2007 | 1 |
| 17 | 2007 | 146 | |
| 18 | 2005 | 11 | |
| 19 | 2004 | 48 | |
| 20 | 2000 | 25 |
About Maxim M. Bespalov
Maxim M. Bespalov is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Aging, Cell Biology and Virology, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include Nerve injury and regeneration (11 papers), Signaling Pathways in Disease (5 papers), Proteoglycans and glycosaminoglycans research (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Protein Structure and Dynamics (2 papers), Mosquito-borne diseases and control (2 papers) and Axon Guidance and Neuronal Signaling (2 papers). The work is most often cited by research in Developmental Neuroscience (157 citations), Cellular and Molecular Neuroscience (391 citations), Aging (14 citations), Cell Biology (122 citations) and Infectious Diseases (138 citations). Maxim M. Bespalov has collaborated with scholars based in Finland, Estonia and United States. Frequent co-authors include Märt Saarma, Yulia Sidorova, Heikki Rauvala, Mikhail Paveliev, Tero Ahola, Beate M. Kümmerer, Finny S. Varghese, Pia Runeberg‐Roos, Leena Hanski and Pasi Kaukinen. Their work appears in journals such as Experimental Neurology, Cell Transplantation, Antiviral Research, Journal of Biological Chemistry and The Journal of Cell Biology.
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.