S. V. Tkachev
Impact in
- Bioengineering top 10%
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- Graphene research and applications
- Carbon Nanotubes in Composites
Papers in
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- Graphene research and applications 16
- Carbon Nanotubes in Composites 8
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- Graphene and Nanomaterials Applications 9
- Co-authors
- С. П. Губин (21 shared papers)E. Yu. Buslaeva (6 shared papers)Svetlana Kotova (1 shared paper)А. В. Наумкин (1 shared paper)A.V. Virovets (9 shared papers)N. V. Podberezskaya (7 shared papers)Sergey N. Konchenko (6 shared papers)Yu. V. Ioni (1 shared paper)
In The Last Decade
S. V. Tkachev
50 papers receiving 626 citations
Peers
Comparison fields: 5 of 66
- Bioengineering 49
- Materials Chemistry 346
- Inorganic Chemistry 91
- Biomedical Engineering 265
- Organic Chemistry 148
Countries citing papers authored by S. V. Tkachev
This map shows the geographic impact of S. V. Tkachev'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 S. V. Tkachev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. V. Tkachev more than expected).
Fields of papers citing papers by S. V. Tkachev
This network shows the impact of papers produced by S. V. Tkachev. 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 S. V. Tkachev. The network helps show where S. V. Tkachev may publish in the future.
Co-authors
The 25 scholars most cited alongside S. V. Tkachev, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 134 | |
| 2 | 2010 | 54 | |
| 3 | 1999 | 44 | |
| 4 | 2018 | 35 | |
| 5 | 2011 | 31 | |
| 6 | 2018 | 30 | |
| 7 | 2017 | 27 | |
| 8 | 2019 | 25 | |
| 9 | 2013 | 20 | |
| 10 | 2019 | 20 | |
| 11 | 2015 | 18 | |
| 12 | 1999 | 17 | |
| 13 | 2015 | 16 | |
| 14 | 1996 | 11 | |
| 15 | 1997 | 11 | |
| 16 | 2016 | 11 | |
| 17 | 2017 | 11 | |
| 18 | 2016 | 9 | |
| 19 | 2020 | 9 | |
| 20 | 1997 | 8 |
About S. V. Tkachev
S. V. Tkachev is a scholar working on Materials Chemistry, Biomedical Engineering, Organic Chemistry, Electrical and Electronic Engineering and Inorganic Chemistry, having authored 53 papers that have together received 649 indexed citations. Recurring topics across this work include Graphene research and applications (16 papers), Organometallic Complex Synthesis and Catalysis (12 papers), Graphene and Nanomaterials Applications (9 papers), Carbon Nanotubes in Composites (8 papers), Gas Sensing Nanomaterials and Sensors (7 papers), Advancements in Battery Materials (6 papers), Metal complexes synthesis and properties (6 papers) and Asymmetric Hydrogenation and Catalysis (5 papers). The work is most often cited by research in Bioengineering (49 citations), Materials Chemistry (346 citations), Inorganic Chemistry (91 citations), Biomedical Engineering (265 citations) and Organic Chemistry (148 citations). S. V. Tkachev has collaborated with scholars based in Russia, Italy and China. Frequent co-authors include С. П. Губин, E. Yu. Buslaeva, Svetlana Kotova, А. В. Наумкин, A.V. Virovets, N. V. Podberezskaya, Sergey N. Konchenko, Yu. V. Ioni, Н. А. Булычев and В. В. Колесов. Their work appears in journals such as Polyhedron, Journal of Organometallic Chemistry, The Journal of Physical Chemistry C, Thin Solid Films and Journal of Electroanalytical Chemistry.
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.