Yu.M. Shirshov

1.5k total citations
48 papers, 1.2k citations indexed

About

Yu.M. Shirshov is a scholar working on Electrical and Electronic Engineering, Bioengineering and Biomedical Engineering. According to data from OpenAlex, Yu.M. Shirshov has authored 48 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Electrical and Electronic Engineering, 21 papers in Bioengineering and 21 papers in Biomedical Engineering. Recurrent topics in Yu.M. Shirshov's work include Analytical Chemistry and Sensors (21 papers), Advanced Chemical Sensor Technologies (12 papers) and Gas Sensing Nanomaterials and Sensors (8 papers). Yu.M. Shirshov is often cited by papers focused on Analytical Chemistry and Sensors (21 papers), Advanced Chemical Sensor Technologies (12 papers) and Gas Sensing Nanomaterials and Sensors (8 papers). Yu.M. Shirshov collaborates with scholars based in Ukraine, Germany and Russia. Yu.M. Shirshov's co-authors include А. Л. Кукла, Sergey A. Piletsky, Volodymyr Chegel, Z.I. Kazantseva, Vitaly I. Kаlchеnkо, Б. А. Снопок, Nickolaj F. Starodub, G. I. Solyanik, Г. И. Довбешко and A. S. Pavluchenko and has published in prestigious journals such as Advanced Materials, Analytica Chimica Acta and Sensors and Actuators B Chemical.

In The Last Decade

Yu.M. Shirshov

41 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu.M. Shirshov Ukraine 18 590 482 426 287 266 48 1.2k
Hitoshi Muguruma Japan 24 920 1.6× 617 1.3× 355 0.8× 292 1.0× 489 1.8× 89 1.6k
Kumaran Ramanathan India 21 906 1.5× 603 1.3× 581 1.4× 583 2.0× 457 1.7× 42 1.7k
Karen Wohnrath Brazil 17 373 0.6× 273 0.6× 218 0.5× 180 0.6× 231 0.9× 71 1.0k
Percy Calvo‐Marzal United States 18 376 0.6× 622 1.3× 258 0.6× 116 0.4× 220 0.8× 27 1.3k
Jaime Castillo Denmark 22 690 1.2× 631 1.3× 249 0.6× 204 0.7× 623 2.3× 46 1.8k
Szilveszter Gáspár Sweden 22 524 0.9× 503 1.0× 223 0.5× 124 0.4× 454 1.7× 49 1.2k
Qingyun Cai China 23 763 1.3× 536 1.1× 279 0.7× 247 0.9× 390 1.5× 68 1.7k
Yoshihito Ikariyama Japan 24 899 1.5× 412 0.9× 621 1.5× 286 1.0× 542 2.0× 81 1.5k
Keith J. Albert United States 9 619 1.0× 1.0k 2.1× 581 1.4× 147 0.5× 229 0.9× 15 1.6k
Naseer Iqbal Saudi Arabia 23 484 0.8× 487 1.0× 159 0.4× 128 0.4× 151 0.6× 82 1.6k

Countries citing papers authored by Yu.M. Shirshov

Since Specialization
Citations

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

Fields of papers citing papers by Yu.M. Shirshov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu.M. Shirshov. 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 Yu.M. Shirshov. The network helps show where Yu.M. Shirshov may publish in the future.

Co-authorship network of co-authors of Yu.M. Shirshov

This figure shows the co-authorship network connecting the top 25 collaborators of Yu.M. Shirshov. A scholar is included among the top collaborators of Yu.M. Shirshov 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 Yu.M. Shirshov. Yu.M. Shirshov 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
1.
Shirshov, Yu.M., et al.. (2025). Optimization of chromatic SPR sensor of gas environment based on registration of reflected beam color: Modeling and experiment. Semiconductor Physics Quantum Electronics & Optoelectronics. 28(3). 374–382.
2.
Shirshov, Yu.M., et al.. (2024). Spectral SPR effect in thin films of high-conductive metals and features of SPR-biosensors implementation in chromatic mode. Semiconductor Physics Quantum Electronics & Optoelectronics. 27(4). 478–488. 1 indexed citations
3.
Shirshov, Yu.M., et al.. (2023). SPR chromatic sensor with colorimetric registration for detection of gas molecules. Semiconductor Physics Quantum Electronics & Optoelectronics. 26(3). 343–351. 2 indexed citations
4.
Shirshov, Yu.M., et al.. (2023). GAS SENSOR BASED ON THE SPECTRAL SPR EFFECT WITH COLORIMETRIC REGISTRATION OF RESPONSES. Sensor Electronics and Microsystem Technologies. 20(3). 38–50. 2 indexed citations
5.
Shirshov, Yu.M.. (2021). Optical control of the interface between gold surface and blood cell samples. 56. 134–155. 2 indexed citations
6.
Pavluchenko, A. S., et al.. (2015). A nanostructural model of ethanol adsorption in thin calixarene films. Sensors and Actuators B Chemical. 223. 470–480. 22 indexed citations
7.
Кукла, А. Л., et al.. (2014). UTILIZATION OF THIN ELECTROPOLYMERIZED POLYPYRROLE AND POLYANILINE FILMS AS SENSITIVE LAYERS IN CHEMORESISTOR SENSOR ARRAYS. Sensor Electronics and Microsystem Technologies. 2(2). 42–47. 3 indexed citations
8.
Shirshov, Yu.M., et al.. (2010). Sensitive coating for water vapors detection based on thermally sputtered calcein thin films. Talanta. 82(4). 1392–1396. 8 indexed citations
9.
Shirshov, Yu.M., et al.. (2009). Concentration of gold nanoparticles in the QCM sensitive film as a factor of adsorption properties controlling. Procedia Chemistry. 1(1). 301–304. 2 indexed citations
10.
Posudievsky, O. Yu., et al.. (2007). Extraction of optical constants of polyaniline thin films by surface plasmon resonance. Thin Solid Films. 516(18). 6104–6109. 8 indexed citations
11.
Kazantseva, Z.I., K. Ivanova, А. Л. Кукла, et al.. (2006). Calixarene-coated nanoparticle gold films for chemical recognition system. 669–672. 6 indexed citations
12.
Кукла, А. Л., et al.. (2003). Effect of the Nature of the Dopant on the Response of a Sensor Array Based on Polyaniline. Theoretical and Experimental Chemistry. 39(4). 219–224. 6 indexed citations
13.
14.
Снопок, Б. А., et al.. (2002). Simple method for plant virus detection: effect of antibody immobilization technique. Journal of Virological Methods. 105(1). 141–146. 23 indexed citations
15.
Chegel, Volodymyr, et al.. (2002). A novel aldehyde dextran sulfonate matrix for affinity biosensors. Journal of Biochemical and Biophysical Methods. 50(2-3). 201–216. 13 indexed citations
16.
Lysenko, Sergiy, et al.. (2001). Light scattering by molecular-organized films on the surface of polycrystalline gold. Optics and Spectroscopy. 90(4). 606–616. 12 indexed citations
17.
Кукла, А. Л., et al.. (1999). Multienzyme electrochemical sensor array for determination of heavy metal ions. Sensors and Actuators B Chemical. 57(1-3). 213–218. 51 indexed citations
18.
Shirshov, Yu.M., et al.. (1999). Separate determination of thickness and optical parameters by surface plasmon resonance: accuracy consideration. Semiconductor Physics Quantum Electronics & Optoelectronics. 2(2). 28–35. 22 indexed citations
19.
Снопок, Б. А., et al.. (1998). A biosensor approach to probe the structure and function of the adsorbed proteins: fibrinogen at the gold surface. Semiconductor Physics Quantum Electronics & Optoelectronics. 1(1). 121–134. 30 indexed citations
20.
Кукла, А. Л., Yu.M. Shirshov, & Sergey A. Piletsky. (1996). Ammonia sensors based on sensitive polyaniline films. Sensors and Actuators B Chemical. 37(3). 135–140. 244 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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