Dmitry Samigullin
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Physiology top 10%
Papers in
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- Ion channel regulation and function 34
- Lipid Membrane Structure and Behavior 10
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- Neuroscience and Neuropharmacology Research 26
- Neuroscience and Neural Engineering 26
- Neurobiology and Insect Physiology Research 6
- Co-authors
- E. E. Nikolsky (19 shared papers)É. A. Bukharaeva (31 shared papers)F. Vyskočil (9 shared papers)K. A. PETROV (15 shared papers)Alexandra D. Voloshina (15 shared papers)Maria Bykhovskaia (2 shared papers)Л. Г. Магазаник (2 shared papers)Л. А. Васильева (6 shared papers)
In The Last Decade
Dmitry Samigullin
71 papers receiving 748 citations
Peers
Comparison fields: 5 of 88
- Cellular and Molecular Neuroscience 326
- Physiology 31
- Pharmaceutical Science 41
- Molecular Biology 438
- Cell Biology 84
Countries citing papers authored by Dmitry Samigullin
This map shows the geographic impact of Dmitry Samigullin'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 Dmitry Samigullin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitry Samigullin more than expected).
Fields of papers citing papers by Dmitry Samigullin
This network shows the impact of papers produced by Dmitry Samigullin. 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 Dmitry Samigullin. The network helps show where Dmitry Samigullin may publish in the future.
Co-authors
The 25 scholars most cited alongside Dmitry Samigullin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 51 | |
| 2 | 2019 | 50 | |
| 3 | 2002 | 42 | |
| 4 | 2004 | 39 | |
| 5 | 2004 | 37 | |
| 6 | 2008 | 32 | |
| 7 | 2021 | 30 | |
| 8 | 2006 | 29 | |
| 9 | 2023 | 29 | |
| 10 | 2020 | 29 | |
| 11 | 2016 | 20 | |
| 12 | 2008 | 19 | |
| 13 | 2023 | 17 | |
| 14 | 2021 | 15 | |
| 15 | 2019 | 13 | |
| 16 | 2005 | 13 | |
| 17 | 2021 | 12 | |
| 18 | 2017 | 11 | |
| 19 | 2023 | 11 | |
| 20 | 2011 | 11 |
About Dmitry Samigullin
Dmitry Samigullin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Materials Chemistry, Biomedical Engineering and Biomaterials, having authored 74 papers that have together received 750 indexed citations. Recurring topics across this work include Ion channel regulation and function (34 papers), Neuroscience and Neuropharmacology Research (26 papers), Neuroscience and Neural Engineering (26 papers), Lipid Membrane Structure and Behavior (10 papers), Nanoparticle-Based Drug Delivery (8 papers), Nanocluster Synthesis and Applications (7 papers), Cellular transport and secretion (6 papers) and Neurobiology and Insect Physiology Research (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (326 citations), Physiology (31 citations), Pharmaceutical Science (41 citations), Molecular Biology (438 citations) and Cell Biology (84 citations). Dmitry Samigullin has collaborated with scholars based in Russia, Czechia and France. Frequent co-authors include E. E. Nikolsky, É. A. Bukharaeva, F. Vyskočil, K. A. PETROV, Alexandra D. Voloshina, Maria Bykhovskaia, Л. Г. Магазаник, Л. А. Васильева, L. Ya. Zakharova and Gulnara A. Gaynanova. Their work appears in journals such as The Journal of Physiology, Physiological Research, International Journal of Molecular Sciences, Journal of Molecular Liquids and Journal of Visualized Experiments.
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.