Mikhail Sergeev
Impact in
- Biophysics top 5%
- Advanced Fluorescence Microscopy Techniques
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Cellular transport and secretion
Papers in
-
- Renal and related cancers 3
- Receptor Mechanisms and Signaling 3
- Congenital heart defects research 2
- Genetics 4
- Genetic and Kidney Cyst Diseases 4
- Mesenchymal stem cell research 2
- Co-authors
- Paul W. Wiseman (8 shared papers)Jagesh V. Shah (5 shared papers)Antoine G. Godin (5 shared papers)Jody L. Swift (4 shared papers)João F. Mata (1 shared paper)Dani L. Bodor (1 shared paper)Tanya Panchenko (1 shared paper)Ben E. Black (1 shared paper)
- Journals
- Nature Cell Biology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Human Molecular Genetics (1 paper)Nature Communications (1 paper)Journal of Neuroinflammation (1 paper)
- Partner nations
- CanadaUnited StatesRussia
In The Last Decade
Mikhail Sergeev
17 papers receiving 764 citations
Peers
Comparison fields: 5 of 87
- Biophysics 103
- Cell Biology 225
- Virology 64
- Molecular Biology 568
- Genetics 175
Countries citing papers authored by Mikhail Sergeev
This map shows the geographic impact of Mikhail Sergeev'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 Sergeev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail Sergeev more than expected).
Fields of papers citing papers by Mikhail Sergeev
This network shows the impact of papers produced by Mikhail Sergeev. 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 Sergeev. The network helps show where Mikhail Sergeev may publish in the future.
Co-authors
The 25 scholars most cited alongside Mikhail Sergeev, 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 | 2014 | 182 | |
| 2 | 2011 | 151 | |
| 3 | 2011 | 75 | |
| 4 | 2011 | 72 | |
| 5 | 2015 | 70 | |
| 6 | 2012 | 51 | |
| 7 | 2015 | 41 | |
| 8 | 2016 | 38 | |
| 9 | 2006 | 25 | |
| 10 | 2012 | 16 | |
| 11 | 2020 | 15 | |
| 12 | 2011 | 12 | |
| 13 | 2021 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2020 | 3 | |
| 16 | 2010 | 3 | |
| 17 | 2010 | 1 |
About Mikhail Sergeev
Mikhail Sergeev is a scholar working on Molecular Biology, Genetics, Cell Biology, Biophysics and Surgery, having authored 17 papers that have together received 768 indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (4 papers), Renal and related cancers (3 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Receptor Mechanisms and Signaling (3 papers), Mesenchymal stem cell research (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Congenital heart defects research (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Biophysics (103 citations), Cell Biology (225 citations), Virology (64 citations), Molecular Biology (568 citations) and Genetics (175 citations). Mikhail Sergeev has collaborated with scholars based in Canada, United States and Russia. Frequent co-authors include Paul W. Wiseman, Jagesh V. Shah, Antoine G. Godin, Jody L. Swift, João F. Mata, Dani L. Bodor, Tanya Panchenko, Ben E. Black, Kevan J. Salimian and Lars E.T. Jansen. Their work appears in journals such as Nature Cell Biology, Proceedings of the National Academy of Sciences, Human Molecular Genetics, Nature Communications and Journal of Neuroinflammation.
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.