D. Vasilyev

2.3k citations
61 papers · 1.0k · h-index 19

Impact in

Papers in

D. Vasilyev

54 papers receiving 996 citations

Peers

D. Vasilyev
Comparison fields: 5 of 96
  • Structural Biology 98
  • Cellular and Molecular Neuroscience 245
  • Surfaces, Coatings and Films 80
  • Physiology 34
  • Radiation 62
Replace Tatsuo Arii with:
Tatsuo Arii Japan
S.B. Andrews United States
Å. Edström Sweden
Yoko Hiroaki Japan
Malcolm Irving United Kingdom
Jianxin Shen China
Marco Linari Italy
Hangjun Wu China
Anna M. Steyer Germany
Saikat Chakraborty India
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Citations per field
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Citations per year

Countries citing papers authored by D. Vasilyev

Since Specialization
Citations

This map shows the geographic impact of D. Vasilyev'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 D. Vasilyev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Vasilyev more than expected).

Fields of papers citing papers by D. Vasilyev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Vasilyev. 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 D. Vasilyev. The network helps show where D. Vasilyev may publish in the future.

Co-authors

The 25 scholars most cited alongside D. Vasilyev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. Vasilyev Line = papers co-authored together D. Vasilyev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002109
2 201696
3 200863
4 200242
5 200737
6 201736
7 202136
8 201934
9 199933
10 201032
11 201430
12 200927
13 199826
14 201925
15 200323
16 201723
17 200522
18 202019
19 200318
20 200717

About D. Vasilyev

D. Vasilyev is a scholar working on Atomic and Molecular Physics, and Optics, Molecular Biology, Cellular and Molecular Neuroscience, Structural Biology and Surfaces, Coatings and Films, having authored 61 papers that have together received 1.0k indexed citations. Recurring topics across this work include Ion channel regulation and function (12 papers), Magnetic properties of thin films (11 papers), Advanced Electron Microscopy Techniques and Applications (11 papers), Neuroscience and Neural Engineering (10 papers), Electron and X-Ray Spectroscopy Techniques (9 papers), Neuroscience and Neuropharmacology Research (8 papers), Quantum and electron transport phenomena (7 papers) and Topological Materials and Phenomena (5 papers). The work is most often cited by research in Structural Biology (98 citations), Cellular and Molecular Neuroscience (245 citations), Surfaces, Coatings and Films (80 citations), Physiology (34 citations) and Radiation (62 citations). D. Vasilyev has collaborated with scholars based in Germany, Ukraine and United States. Frequent co-authors include Michael E. Barish, Mark R. Bowlby, G. Schönhense, K. Medjanik, H. J. Elmers, Lev M. Berstein, Brian W. Strassle, N. S. Veselovsky, S. А. Fedulova and S. Babenkov. Their work appears in journals such as Physical review. B., Neuroscience, New Journal of Physics, The Journal of Physiology and Journal of Physics Condensed Matter.

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.

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