Alexey Yakushenko

741 total citations
23 papers, 615 citations indexed

About

Alexey Yakushenko is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Alexey Yakushenko has authored 23 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 10 papers in Biomedical Engineering and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Alexey Yakushenko's work include Electrochemical Analysis and Applications (8 papers), Neuroscience and Neural Engineering (8 papers) and Electrochemical sensors and biosensors (5 papers). Alexey Yakushenko is often cited by papers focused on Electrochemical Analysis and Applications (8 papers), Neuroscience and Neural Engineering (8 papers) and Electrochemical sensors and biosensors (5 papers). Alexey Yakushenko collaborates with scholars based in Germany, United States and Italy. Alexey Yakushenko's co-authors include Bernhard Wolfrum, Andreas Offenhäusser, Nouran Adly, Enno Kätelhön, Silke Seyock, Dirk Mayer, Jan Schnitker, Philipp Rinklin, Bernd Bachmann and Isaac Rosen and has published in prestigious journals such as Accounts of Chemical Research, Analytical Chemistry and ACS Applied Materials & Interfaces.

In The Last Decade

Alexey Yakushenko

23 papers receiving 600 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alexey Yakushenko Germany 16 316 303 216 159 105 23 615
Philipp Rinklin Germany 13 255 0.8× 219 0.7× 135 0.6× 146 0.9× 81 0.8× 30 474
Maaike Op de Beeck Belgium 12 424 1.3× 328 1.1× 175 0.8× 78 0.5× 177 1.7× 53 691
Kevin MacVittie United States 14 270 0.9× 848 2.8× 258 1.2× 348 2.2× 104 1.0× 17 1.1k
Shabnam Siddiqui United States 13 113 0.4× 328 1.1× 127 0.6× 180 1.1× 73 0.7× 34 605
Peikai Zhang New Zealand 10 305 1.0× 147 0.5× 112 0.5× 38 0.2× 39 0.4× 21 456
John A. Hondred United States 11 335 1.1× 301 1.0× 72 0.3× 66 0.4× 87 0.8× 16 608
Masao Gotoh Japan 14 216 0.7× 339 1.1× 100 0.5× 167 1.1× 273 2.6× 28 580
Magali Ferro France 10 368 1.2× 196 0.6× 196 0.9× 31 0.2× 121 1.2× 12 621
C. Lorena Manzanares Palenzuela Czechia 6 369 1.2× 222 0.7× 88 0.4× 51 0.3× 50 0.5× 7 649
Yi Jae Lee South Korea 17 334 1.1× 440 1.5× 200 0.9× 204 1.3× 119 1.1× 48 838

Countries citing papers authored by Alexey Yakushenko

Since Specialization
Citations

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

Fields of papers citing papers by Alexey Yakushenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexey Yakushenko

This figure shows the co-authorship network connecting the top 25 collaborators of Alexey Yakushenko. A scholar is included among the top collaborators of Alexey Yakushenko 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 Alexey Yakushenko. Alexey Yakushenko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Yakushenko, Alexey, Sabine Willbold, Guillermo Beltramo, et al.. (2020). Tantalum(v) 1,3-propanediolate β-diketonate solution as a precursor to sol–gel derived, metal oxide thin films. RSC Advances. 10(23). 13737–13748. 3 indexed citations
3.
Protsenko, Pavel, Vadim Korolev, Jekaterina Viktorova, et al.. (2019). Aroma Molecules as Dynamic Volatile Surfactants: Functionality beyond the Scent. ACS Applied Materials & Interfaces. 11(43). 40988–40995. 9 indexed citations
4.
Schnitker, Jan, Nouran Adly, Silke Seyock, et al.. (2018). Rapid Prototyping of Ultralow‐Cost, Inkjet‐Printed Carbon Microelectrodes for Flexible Bioelectronic Devices. Advanced Biosystems. 2(3). 32 indexed citations
5.
Adly, Nouran, et al.. (2018). Printed microelectrode arrays on soft materials: from PDMS to hydrogels. npj Flexible Electronics. 2(1). 112 indexed citations
6.
Bachmann, Bernd, et al.. (2017). Development of a Gold Nanoparticle Conductive Ink with a Relatively Low Sintering Temperature. TechConnect Briefs. 4(2017). 141–144. 1 indexed citations
7.
Adly, Nouran, et al.. (2017). Observation of chemically protected polydimethylsiloxane: towards crack-free PDMS. Soft Matter. 13(37). 6297–6303. 23 indexed citations
8.
Adly, Nouran, et al.. (2017). Three-dimensional inkjet-printed redox cycling sensor. RSC Advances. 7(9). 5473–5479. 15 indexed citations
9.
Adly, Nouran, Lingyan Feng, Dirk Mayer, et al.. (2017). Flexible Microgap Electrodes by Direct Inkjet Printing for Biosensing Application. Advanced Biosystems. 1(3). 20 indexed citations
10.
Bilatto, Stanley, Nouran Adly, Daniel S. Côrrea, et al.. (2017). Printed microfluidic filter for heparinized blood. Biomicrofluidics. 11(3). 34101–34101. 9 indexed citations
11.
Rosen, Isaac, Alexey Yakushenko, Andreas Offenhäusser, & Shlomo Magdassi. (2017). Self-Reducing Copper Precursor Inks and Photonic Additive Yield Conductive Patterns under Intense Pulsed Light. ACS Omega. 2(2). 573–581. 37 indexed citations
12.
Adly, Nouran, Alexey Yakushenko, Jan Schnitker, et al.. (2016). Influence of Self-Assembled Alkanethiol Monolayers on Stochastic Amperometric On-Chip Detection of Silver Nanoparticles. Analytical Chemistry. 88(7). 3632–3637. 16 indexed citations
13.
Yakushenko, Alexey, et al.. (2015). Stochastic On-Chip Detection of Subpicomolar Concentrations of Silver Nanoparticles. Analytical Chemistry. 87(14). 7321–7325. 29 indexed citations
14.
Bilatto, Stanley, Nouran Adly, Daniel S. Côrrea, et al.. (2015). Inkjet printing of UV-curable adhesive and dielectric inks for microfluidic devices. Lab on a Chip. 16(1). 70–74. 42 indexed citations
15.
Yakushenko, Alexey, et al.. (2014). On‐chip fast scan cyclic voltammetry for selective detection of redox active neurotransmitters. physica status solidi (a). 211(6). 1364–1371. 12 indexed citations
16.
Yakushenko, Alexey, Dirk Mayer, Johan Buitenhuis, Andreas Offenhäusser, & Bernhard Wolfrum. (2013). Electrochemical artifacts originating from nanoparticle contamination by Ag/AgCl quasi-reference electrodes. Lab on a Chip. 14(3). 602–607. 32 indexed citations
17.
Yakushenko, Alexey, Zheng Gong, Vanessa Maybeck, et al.. (2013). On-chip optical stimulation and electrical recording from cells. Journal of Biomedical Optics. 18(11). 1–1. 16 indexed citations
18.
Yakushenko, Alexey, Enno Kätelhön, & Bernhard Wolfrum. (2013). Parallel On-Chip Analysis of Single Vesicle Neurotransmitter Release. Analytical Chemistry. 85(11). 5483–5490. 48 indexed citations
19.
Yakushenko, Alexey, et al.. (2012). A nanoporous alumina microelectrode array for functional cell–chip coupling. Nanotechnology. 23(49). 495303–495303. 22 indexed citations
20.
Yakushenko, Alexey, Jan Schnitker, & Bernhard Wolfrum. (2012). Printed Carbon Microelectrodes for Electrochemical Detection of Single Vesicle Release from PC12 Cells. Analytical Chemistry. 84(10). 4613–4617. 24 indexed citations

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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