Dmitry V. Kosynkin
- Materials Chemistry top 0.1%
- Electrical and Electronic Engineering top 0.2%
- Biomedical Engineering top 0.1%
- Electronic, Optical and Magnetic Materials top 0.5%
- Polymers and Plastics top 0.5%
- Co-authors
- James M. TourAlexander SinitskiiZhengzong SunAlexander SlesarevLawrence B. AlemanyWei LuJacob M. BerlinDaniela C. Marcano
- Topics
- Graphene research and applications (22 papers)Carbon Nanotubes in Composites (14 papers)Molecular Junctions and Nanostructures (12 papers)
- Partner nations
- United StatesSaudi ArabiaBelgium
In The Last Decade
Dmitry V. Kosynkin
49 papers receiving 19.8k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Materials Chemistry 12.5k
- Electrical and Electronic Engineering 7.7k
- Biomedical Engineering 7.4k
- Electronic, Optical and Magnetic Materials 4.0k
- Polymers and Plastics 2.5k
Countries citing papers authored by Dmitry V. Kosynkin
This map shows the geographic impact of Dmitry V. Kosynkin'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 V. Kosynkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitry V. Kosynkin more than expected).
Fields of papers citing papers by Dmitry V. Kosynkin
This network shows the impact of papers produced by Dmitry V. Kosynkin. 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 V. Kosynkin. The network helps show where Dmitry V. Kosynkin may publish in the future.
Co-authorship network of co-authors of Dmitry V. Kosynkin
This figure shows the co-authorship network connecting the top 25 collaborators of Dmitry V. Kosynkin. A scholar is included among the top collaborators of Dmitry V. Kosynkin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dmitry V. Kosynkin. Dmitry V. Kosynkin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 32 | |
| 2 | 46 | |
| 3 | 23 | |
| 4 | 9 | |
| 5 | 23 | |
| 6 | 4 | |
| 7 | 104 | |
| 8 | 320 | |
| 9 | 396 | |
| 10 | 34 | |
| 11 | Reservoir Nanoagents: Tools of In-Situ Sensing and Intervention | 4 |
| 12 | 272 | |
| 13 | 497 | |
| 14 | 254 | |
| 15 | Improved Synthesis of Graphene Oxidebreakdown → | 10507 |
| 16 | 37 | |
| 17 | Longitudinal unzipping of carbon nanotubes to form graphene nanoribbonsbreakdown → | 2863 |
| 18 | 71 | |
| 19 | 287 | |
| 20 | 25 |
About Dmitry V. Kosynkin
Dmitry V. Kosynkin is a scholar working on Materials Chemistry, Ocean Engineering and Electrical and Electronic Engineering, having authored 49 papers that have together received 20.1k indexed citations. Recurring topics across this work include Graphene research and applications (22 papers), Carbon Nanotubes in Composites (14 papers) and Molecular Junctions and Nanostructures (12 papers). The work is most often cited by research in Materials Chemistry (12.5k citations), Electronic, Optical and Magnetic Materials (4.0k citations) and Polymers and Plastics (2.5k citations). Dmitry V. Kosynkin has collaborated with scholars based in United States, Saudi Arabia and Belgium. Frequent co-authors include James M. Tour, Alexander Sinitskii, Zhengzong Sun, Alexander Slesarev, Lawrence B. Alemany, Wei Lu, Jacob M. Berlin, Daniela C. Marcano, Jay R. Lomeda and Ayrat M. Dimiev. Their work appears in journals such as Nature, Science and Journal of the American Chemical Society.
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.