M. N. Martyshov
- Bioengineering top 10%
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- Transition Metal Oxide Nanomaterials 8
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- Gas Sensing Nanomaterials and Sensors 18
- Advanced Memory and Neural Computing 7
- Thin-Film Transistor Technologies 6
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- ZnO doping and properties 12
- Silicon Nanostructures and Photoluminescence 11
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- Nanowire Synthesis and Applications 6
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- Laser Material Processing Techniques 5
- Co-authors
- П. А. ФоршП. К. КашкаровM. N. RumyantsevaAlexander GaskovOleg I. LebedevValeriy KrivetskiyArtem M. AbakumovNatalia E. Mordvinova
- Journals
- Journal of Nanoelectronics and Optoelectronics (5 papers)Materials (2 papers)Biotechnology and Bioengineering (1 paper)
- Partner nations
- RussiaTajikistanItaly
In The Last Decade
M. N. Martyshov
38 papers receiving 333 citations
Peers
Comparison fields: 5 of 31
- Bioengineering 52
- Polymers and Plastics 90
- Electrical and Electronic Engineering 281
- Materials Chemistry 166
- Cellular and Molecular Neuroscience 48
Countries citing papers authored by M. N. Martyshov
This map shows the geographic impact of M. N. Martyshov'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 M. N. Martyshov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. N. Martyshov more than expected).
Fields of papers citing papers by M. N. Martyshov
This network shows the impact of papers produced by M. N. Martyshov. 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 M. N. Martyshov. The network helps show where M. N. Martyshov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. N. Martyshov, 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 | 2023 | 0 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 6 | |
| 7 | 2022 | 1 | |
| 8 | 2022 | 9 | |
| 9 | 2020 | 12 | |
| 10 | 2020 | 14 | |
| 11 | 2020 | 0 | |
| 12 | 2019 | 45 | |
| 13 | 2019 | 16 | |
| 14 | 2017 | 3 | |
| 15 | 2017 | 14 | |
| 16 | 2016 | 7 | |
| 17 | 2016 | 3 | |
| 18 | 2010 | 2 | |
| 19 | 2008 | 4 | |
| 20 | 2006 | 8 |
About M. N. Martyshov
M. N. Martyshov is a scholar working on Polymers and Plastics, Electrical and Electronic Engineering, Materials Chemistry, Cellular and Molecular Neuroscience and Biomedical Engineering, having authored 46 papers that have together received 334 indexed citations. Recurring topics across this work include Gas Sensing Nanomaterials and Sensors (18 papers), ZnO doping and properties (12 papers), Silicon Nanostructures and Photoluminescence (11 papers), Transition Metal Oxide Nanomaterials (8 papers), Advanced Memory and Neural Computing (7 papers), Thin-Film Transistor Technologies (6 papers), Nanowire Synthesis and Applications (6 papers) and Laser Material Processing Techniques (5 papers). The work is most often cited by research in Bioengineering (52 citations), Polymers and Plastics (90 citations), Electrical and Electronic Engineering (281 citations), Materials Chemistry (166 citations) and Cellular and Molecular Neuroscience (48 citations). M. N. Martyshov has collaborated with scholars based in Russia, Tajikistan and Italy. Frequent co-authors include П. А. Форш, П. К. Кашкаров, M. N. Rumyantseva, Alexander Gaskov, Oleg I. Lebedev, Valeriy Krivetskiy, Artem M. Abakumov, Natalia E. Mordvinova, A. V. Emelyanov and А. А. Миннеханов. Their work appears in journals such as Journal of Nanoelectronics and Optoelectronics, Materials, Biotechnology and Bioengineering, Scientific Reports and The Journal of Physical Chemistry C.
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.