Dmitrii E. Makarov
- Atomic and Molecular Physics, and Optics top 0.5%
- Molecular Biology top 2%
- Materials Chemistry top 5%
- Statistical and Nonlinear Physics top 0.5%
- Biomedical Engineering top 5%
- Co-authors
- Nancy MakriKevin W. PlaxcoW. KohnYigal MeirHoria MetiuV. A. BenderskiǐRyan R. ChengLei Huang
- Topics
- Spectroscopy and Quantum Chemical Studies (53 papers)Force Microscopy Techniques and Applications (49 papers)Protein Structure and Dynamics (49 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsStatistical and Nonlinear PhysicsStructural Biology
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyPhysical Review Letters
- Partner nations
- United StatesRussiaSwitzerland
In The Last Decade
Dmitrii E. Makarov
155 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Atomic and Molecular Physics, and Optics 4.0k
- Molecular Biology 2.7k
- Materials Chemistry 1.2k
- Statistical and Nonlinear Physics 988
- Biomedical Engineering 566
Countries citing papers authored by Dmitrii E. Makarov
This map shows the geographic impact of Dmitrii E. Makarov'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 Dmitrii E. Makarov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitrii E. Makarov more than expected).
Fields of papers citing papers by Dmitrii E. Makarov
This network shows the impact of papers produced by Dmitrii E. Makarov. 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 Dmitrii E. Makarov. The network helps show where Dmitrii E. Makarov may publish in the future.
Co-authorship network of co-authors of Dmitrii E. Makarov
This figure shows the co-authorship network connecting the top 25 collaborators of Dmitrii E. Makarov. A scholar is included among the top collaborators of Dmitrii E. Makarov 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 Dmitrii E. Makarov. Dmitrii E. Makarov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 20 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 8 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 13 | |
| 13 | 9 | |
| 14 | 10 | |
| 15 | 11 | |
| 16 | 79 | |
| 17 | 8 | |
| 18 | 20 | |
| 19 | 17 | |
| 20 | 44 |
About Dmitrii E. Makarov
Dmitrii E. Makarov is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Biophysics, having authored 159 papers that have together received 6.6k indexed citations. Recurring topics across this work include Spectroscopy and Quantum Chemical Studies (53 papers), Force Microscopy Techniques and Applications (49 papers) and Protein Structure and Dynamics (49 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (4.0k citations), Statistical and Nonlinear Physics (988 citations) and Structural Biology (109 citations). Dmitrii E. Makarov has collaborated with scholars based in United States, Russia and Switzerland. Frequent co-authors include Nancy Makri, Kevin W. Plaxco, W. Kohn, Yigal Meir, Horia Metiu, V. A. Benderskiǐ, Ryan R. Cheng, Lei Huang, Alexander M. Berezhkovskii and Pai-Chi Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.
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.