Maxim Igaev
Impact in
- Structural Biology top 5%
- Cell Biology top 10%
- Microtubule and mitosis dynamics
Papers in
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- Protein Structure and Dynamics 2
- Photosynthetic Processes and Mechanisms 2
- RNA and protein synthesis mechanisms 2
-
- Microtubule and mitosis dynamics 8
- Cellular Mechanics and Interactions 4
- Co-authors
- Helmut Grubmüller (9 shared papers)Roland Brandt (5 shared papers)Frederik Sündermann (4 shared papers)Dennis Janning (4 shared papers)Lidia Bakota (3 shared papers)Jacob Piehler (2 shared papers)Wolfgang Junge (3 shared papers)Lars V. Bock (2 shared papers)
- Journals
- Molecular Biology of the Cell (3 papers)Journal of Chemical Theory and Computation (2 papers)Proceedings of the National Academy of Sciences (2 papers)Biophysical Journal (2 papers)eLife (2 papers)
- Partner nations
- GermanyUnited StatesDenmark
In The Last Decade
Maxim Igaev
15 papers receiving 618 citations
Peers
Comparison fields: 5 of 71
- Structural Biology 43
- Cell Biology 175
- Physiology 168
- Molecular Biology 414
- Cellular and Molecular Neuroscience 93
Countries citing papers authored by Maxim Igaev
This map shows the geographic impact of Maxim Igaev'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 Igaev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxim Igaev more than expected).
Fields of papers citing papers by Maxim Igaev
This network shows the impact of papers produced by Maxim Igaev. 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 Igaev. The network helps show where Maxim Igaev may publish in the future.
Co-authors
The 23 scholars most cited alongside Maxim Igaev, 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 | 139 | |
| 2 | 2018 | 101 | |
| 3 | 2019 | 69 | |
| 4 | 2019 | 62 | |
| 5 | 2016 | 51 | |
| 6 | 2018 | 43 | |
| 7 | 2014 | 35 | |
| 8 | 2014 | 33 | |
| 9 | 2021 | 28 | |
| 10 | 2020 | 22 | |
| 11 | 2022 | 21 | |
| 12 | 2025 | 8 | |
| 13 | 2024 | 8 | |
| 14 | 2022 | 1 | |
| 15 | 2026 | 1 |
About Maxim Igaev
Maxim Igaev is a scholar working on Molecular Biology, Cell Biology, Physiology, Structural Biology and Biophysics, having authored 15 papers that have together received 622 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (8 papers), Cellular Mechanics and Interactions (4 papers), Alzheimer's disease research and treatments (3 papers), Advanced Electron Microscopy Techniques and Applications (2 papers), Protein Structure and Dynamics (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Structural Biology (43 citations), Cell Biology (175 citations), Physiology (168 citations), Molecular Biology (414 citations) and Cellular and Molecular Neuroscience (93 citations). Maxim Igaev has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include Helmut Grubmüller, Roland Brandt, Frederik Sündermann, Dennis Janning, Lidia Bakota, Jacob Piehler, Wolfgang Junge, Lars V. Bock, Carsten Kutzner and Oliver Beutel. Their work appears in journals such as Molecular Biology of the Cell, Journal of Chemical Theory and Computation, Proceedings of the National Academy of Sciences, Biophysical Journal and eLife.
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.