Dmitry Suyatin

1.4k citations
33 papers · 1.1k · h-index 15

Impact in

Papers in

Dmitry Suyatin

31 papers receiving 1.0k citations

Peers

Dmitry Suyatin
Comparison fields: 5 of 71
  • Electrochemistry 153
  • Cellular and Molecular Neuroscience 200
  • Electrical and Electronic Engineering 594
  • Biomedical Engineering 437
  • Polymers and Plastics 124
Replace David J. Garrett with:
David J. Garrett Australia
Erkin Şeker United States
Cynthia A. Lundgren United States
Richard S. Potember United States
Lindsey Hanson United States
Annalisa Convertino Italy
David J. Poxson United States
He Ding China
Dae‐Hyuk Kwon South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Dmitry Suyatin

Since Specialization
Citations

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

Fields of papers citing papers by Dmitry Suyatin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dmitry Suyatin, 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 Dmitry Suyatin Line = papers co-authored together Dmitry Suyatin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012174
2 2007138
3 2010106
4 201387
5 201367
6 201362
7 201452
8 200848
9 201746
10 201538
11 200937
12 201436
13 200930
14 200329
15 201714
16 201011
17 200310
18 20189
19 20038
20 20158

About Dmitry Suyatin

Dmitry Suyatin is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Atomic and Molecular Physics, and Optics, Materials Chemistry and Cellular and Molecular Neuroscience, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nanowire Synthesis and Applications (10 papers), Neuroscience and Neural Engineering (7 papers), Electrochemical sensors and biosensors (6 papers), Semiconductor materials and devices (6 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers), Molecular Junctions and Nanostructures (4 papers), Quantum and electron transport phenomena (4 papers) and Force Microscopy Techniques and Applications (3 papers). The work is most often cited by research in Electrochemistry (153 citations), Cellular and Molecular Neuroscience (200 citations), Electrical and Electronic Engineering (594 citations), Biomedical Engineering (437 citations) and Polymers and Plastics (124 citations). Dmitry Suyatin has collaborated with scholars based in Sweden, Russia and France. Frequent co-authors include Lars Samuelson, Sergey Shleev, Ivan Maximov, Zoltan Blum, Lars Montelius, Javier Sotres, Christelle N. Prinz, Viktor Andoralov, Mats Björk and Magnus Falk. Their work appears in journals such as Nano Letters, Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena, Nanotechnology, Microelectronic Engineering and Journal of Crystal Growth.

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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