Maxim S. Panov

1.3k total citations
72 papers, 896 citations indexed

About

Maxim S. Panov is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Electrochemistry. According to data from OpenAlex, Maxim S. Panov has authored 72 papers receiving a total of 896 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 20 papers in Biomedical Engineering and 19 papers in Electrochemistry. Recurrent topics in Maxim S. Panov's work include Electrochemical Analysis and Applications (19 papers), Electrochemical sensors and biosensors (18 papers) and Analytical Chemistry and Sensors (13 papers). Maxim S. Panov is often cited by papers focused on Electrochemical Analysis and Applications (19 papers), Electrochemical sensors and biosensors (18 papers) and Analytical Chemistry and Sensors (13 papers). Maxim S. Panov collaborates with scholars based in Russia, United States and Pakistan. Maxim S. Panov's co-authors include Ilya I. Tumkin, Andrey S. Mereshchenko, Mikhail N. Ryazantsev, Vladimir A. Kochemirovsky, Evgeniia M. Khairullina, Alexander N. Tarnovsky, R. Marshall Wilson, M. Yu. Skripkin, Mikhail Zamkov and Pavel Moroz and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Maxim S. Panov

68 papers receiving 878 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maxim S. Panov Russia 18 367 239 209 177 137 72 896
Prakash Chandra Mondal India 23 1.2k 3.2× 541 2.3× 268 1.3× 232 1.3× 141 1.0× 77 1.8k
M. Belén Oviedo Argentina 19 346 0.9× 518 2.2× 148 0.7× 58 0.3× 103 0.8× 31 1.1k
Ranjit Pati United States 20 696 1.9× 758 3.2× 207 1.0× 60 0.3× 81 0.6× 63 1.3k
Michael W. Holman United States 11 345 0.9× 425 1.8× 80 0.4× 51 0.3× 118 0.9× 12 786
Xin Zhu China 19 332 0.9× 683 2.9× 185 0.9× 56 0.3× 254 1.9× 47 1.1k
Chao Weng China 18 585 1.6× 339 1.4× 88 0.4× 37 0.2× 113 0.8× 64 1.1k
Tomoaki Nishino Japan 20 1.0k 2.8× 428 1.8× 488 2.3× 157 0.9× 147 1.1× 108 1.4k
Sudip Chakraborty India 17 168 0.5× 310 1.3× 210 1.0× 50 0.3× 121 0.9× 47 1.1k
Fernando Cortés‐Salazar Switzerland 23 445 1.2× 165 0.7× 401 1.9× 662 3.7× 54 0.4× 42 1.3k
Qianqi Lin United Kingdom 14 272 0.7× 131 0.5× 204 1.0× 183 1.0× 30 0.2× 33 695

Countries citing papers authored by Maxim S. Panov

Since Specialization
Citations

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

Fields of papers citing papers by Maxim S. Panov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maxim S. Panov. 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 Maxim S. Panov. The network helps show where Maxim S. Panov may publish in the future.

Co-authorship network of co-authors of Maxim S. Panov

This figure shows the co-authorship network connecting the top 25 collaborators of Maxim S. Panov. A scholar is included among the top collaborators of Maxim S. Panov 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 Maxim S. Panov. Maxim S. Panov 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.
2.
Khairullina, Evgeniia M., Maxim Fatkullin, Maxim S. Panov, et al.. (2024). Flexible laser-induced graphene-based electrodes modified with cobalt-manganese hexacyanoferrate as cathode materials for asymmetric supercapacitors. Sustainable Energy & Fuels. 8(24). 5906–5916.
3.
Panov, Maxim S., et al.. (2024). Fluorescent 5 H ‐Pyrano[3,2‐ c ]chromenes: Synthesis, Photophysical Properties and Sensing of Nucleophilic Anions. ChemistrySelect. 9(4). 1 indexed citations
4.
Mereshchenko, Andrey S., Tatiana Tennikova, Stanislav A. Bondarev, et al.. (2024). Rational Design of Far-Red Archaerhodopsin-3-Based Fluorescent Genetically Encoded Voltage Indicators: from Elucidation of the Fluorescence Mechanism in Archers to Novel Red-Shifted Variants. SHILAP Revista de lepidopterología. 4(4). 347–362. 2 indexed citations
5.
Panov, Maxim S., et al.. (2023). Simultaneous Catechol and Hydroquinone Detection with Laser Fabricated MOF-Derived Cu-CuO@C Composite Electrochemical Sensor. Materials. 16(22). 7225–7225. 9 indexed citations
6.
Mereshchenko, Andrey S., et al.. (2023). Fluorescence Imaging of Cell Membrane Potential: From Relative Changes to Absolute Values. International Journal of Molecular Sciences. 24(3). 2435–2435. 14 indexed citations
7.
Kolesnikov, Ilya E., et al.. (2023). Effect of Gd3+, La3+, Lu3+ Co-Doping on the Morphology and Luminescent Properties of NaYF4:Sm3+ Phosphors. Materials. 16(6). 2157–2157. 6 indexed citations
8.
Zaytsev, Alexey, et al.. (2023). ScaleFace: Uncertainty-aware Deep Metric Learning. 1–10. 1 indexed citations
9.
10.
Tver’yanovich, Yu. S., Andrey Tverjanovich, Dmitrii Pankin, et al.. (2022). Increasing the Plasticity of Chalcogenide Glasses in the System Ag2Se–Sb2Se3–GeSe2. Chemistry of Materials. 34(6). 2743–2751. 2 indexed citations
11.
Va, Karlov, et al.. (2022). Active Learning for Abstractive Text Summarization. 5128–5152. 5 indexed citations
12.
Panov, Maxim S., et al.. (2022). Au–Ru Composite for Enzyme-Free Epinephrine Sensing. Chemosensors. 10(12). 513–513. 5 indexed citations
13.
Shishov, Andrey, Lev Logunov, Ivan Yu. Chernyshov, et al.. (2021). Laser-induced deposition of copper from deep eutectic solvents: optimization of chemical and physical parameters. New Journal of Chemistry. 45(46). 21896–21904. 9 indexed citations
14.
Kolesnikov, Ilya E., Ilya I. Tumkin, Mikhail N. Ryazantsev, et al.. (2021). Ultrasound-Assisted Synthesis of Luminescent Micro- and Nanocrystalline Eu-Based MOFs as Luminescent Probes for Heavy Metal Ions. Nanomaterials. 11(9). 2448–2448. 14 indexed citations
15.
Vasin, Andrey V., et al.. (2021). Simple Models to Study Spectral Properties of Microbial and Animal Rhodopsins: Evaluation of the Electrostatic Effect of Charged and Polar Residues on the First Absorption Band Maxima. International Journal of Molecular Sciences. 22(6). 3029–3029. 13 indexed citations
16.
Khairullina, Evgeniia M., et al.. (2021). High rate fabrication of copper and copper–gold electrodes by laser-induced selective electroless plating for enzyme-free glucose sensing. RSC Advances. 11(32). 19521–19530. 19 indexed citations
17.
Ryazantsev, Mikhail N., et al.. (2021). Photopharmacological compounds based on azobenzenes and azoheteroarenes: principles of molecular design, molecular modelling, and synthesis. Russian Chemical Reviews. 90(7). 868–893. 19 indexed citations
18.
Mereshchenko, Andrey S., et al.. (2020). An assessment of water placement algorithms in quantum mechanics/molecular mechanics modeling: the case of rhodopsins’ first spectral absorption band maxima. Physical Chemistry Chemical Physics. 22(32). 18114–18123. 13 indexed citations
19.
Panov, Maxim S., et al.. (2019). Fabrication of Nickel-Gold Microsensor Using In Situ Laser-Induced Metal Deposition Technique. Journal of Laser Micro/Nanoengineering. 5 indexed citations
20.
Panov, Maxim S., Adeel Jamal, Oleg B. Chakchir, et al.. (2018). A Comparative Study of Modern Homology Modeling Algorithms for Rhodopsin Structure Prediction. ACS Omega. 3(7). 7555–7566. 42 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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