Andrey A. Buglak

939 total citations
56 papers, 677 citations indexed

About

Andrey A. Buglak is a scholar working on Molecular Biology, Materials Chemistry and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Andrey A. Buglak has authored 56 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 23 papers in Materials Chemistry and 14 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Andrey A. Buglak's work include Nanocluster Synthesis and Applications (14 papers), Gold and Silver Nanoparticles Synthesis and Applications (14 papers) and Advanced Nanomaterials in Catalysis (9 papers). Andrey A. Buglak is often cited by papers focused on Nanocluster Synthesis and Applications (14 papers), Gold and Silver Nanoparticles Synthesis and Applications (14 papers) and Advanced Nanomaterials in Catalysis (9 papers). Andrey A. Buglak collaborates with scholars based in Russia, South Korea and Ireland. Andrey A. Buglak's co-authors include Alexei I. Kononov, Т. А. Телегина, Boris B. Dzantiev, Änatoly V. Zherdev, M. S. Kritsky, Mikhail A. Filatov, Ruslan R. Ramazanov, Vladimir A. Pomogaev, Mushraf Hussain and Manabu Sugimoto and has published in prestigious journals such as PLoS ONE, The Journal of Physical Chemistry B and Scientific Reports.

In The Last Decade

Andrey A. Buglak

49 papers receiving 668 citations

Peers

Andrey A. Buglak

EOMM

Ye Zou China

Iulia Matei Romania

Saphon Hok United States

Jessy Mariam India

Luiz Antônio S. Costa Brazil

Mily Bhattacharya India

Arnfinn Hykkerud Steindal Norway

Munmun Bardhan India

Valeriya Trusova Ukraine

Yaokai Duan United States

Ye Zou China

Andrey A. Buglak

194 ×0.7

327 ×1.3

76 ×0.7

EOMM

71 ×0.6

46 ×0.8

Citations per year, relative to Andrey A. Buglak Andrey A. Buglak (= 1×) peers Ye Zou

Countries citing papers authored by Andrey A. Buglak

Since Specialization

Citations

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

Fields of papers citing papers by Andrey A. Buglak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrey A. Buglak. 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 Andrey A. Buglak. The network helps show where Andrey A. Buglak may publish in the future.

Co-authorship network of co-authors of Andrey A. Buglak

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

All Works

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20 of 20 papers shown

Телегина, Т. А., et al.. (2025). Nanoparticles Pt-Pd (PAPLAL) catalyze tetrahydrobiopterin oxidation and this contributes to the therapy and phototherapy of vitiligo. Journal of Photochemistry and Photobiology A Chemistry. 466. 116404–116404.

Buglak, Andrey A., et al.. (2025). Predicting the quantum yield of ¹ O ₂ generation for pteridines and fluoroquinolones using machine learning. Physical Chemistry Chemical Physics. 27(44). 23722–23740.

Buglak, Andrey A., et al.. (2025). QSAR and machine learning applied for the analysis of (fluoro)quinolone activity. Expert Opinion on Drug Discovery. 20(12). 1525–1547. 1 indexed citations

Buglak, Andrey A., et al.. (2025). Applications of QSPR and Machine Learning in Molecular Photonics. Advanced Optical Materials. 13(33).

Solovyeva, Elena V., et al.. (2025). Surface-enhanced Raman scattering of neopterin in human serum. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 348(Pt 2). 127236–127236.

Zelenikhin, Pavel, et al.. (2024). Study of the Effect of UV Laser Pulse Duration and Wavelength on Fibroblasts. Physics of Particles and Nuclei Letters. 21(4). 835–838.

Buglak, Andrey A., et al.. (2024). Predicting fluorescence to singlet oxygen generation quantum yield ratio for BODIPY dyes using QSPR and machine learning. Physical Chemistry Chemical Physics. 26(38). 25131–25142. 15 indexed citations

Телегина, Т. А., et al.. (2024). Catalytic Activity of Platinum and Palladium Nanoparticles PAPLAL in the Decomposition of Hydrogen Peroxide H2O2. Bulletin of the Russian Academy of Sciences Physics. 88(S4). S630–S632. 1 indexed citations

Buglak, Andrey A. & Minh Tho Nguyen. (2024). Interactions of coinage metal nanoclusters with low-molecular-weight biocompounds. Biophysical Reviews. 16(4). 441–477. 5 indexed citations

10.

Polyanichko, A. M., et al.. (2023). Rapid and selective colorimetric determination of L-DOPA in human serum with silver nanoparticles. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 299. 122810–122810. 7 indexed citations

11.

Polyanichko, A. M., et al.. (2023). Quantitative determination of albumin and immunoglobulin in human serum using gold nanoclusters. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 298. 122796–122796. 2 indexed citations

12.

Kononov, Alexei I., et al.. (2023). Pterin interactions with gold clusters: A theoretical study. Dyes and Pigments. 216. 111323–111323. 1 indexed citations

13.

Телегина, Т. А., et al.. (2023). Tetrahydrobiopterin as a Trigger for Vitiligo: Phototransformation during UV Irradiation. International Journal of Molecular Sciences. 24(17). 13586–13586. 8 indexed citations

14.

Mikulchyk, Tatsiana, Safakath Karuthedath, Catherine S. P. De Castro, et al.. (2022). Charge transfer mediated triplet excited state formation in donor–acceptor–donor BODIPY: Application for recording of holographic structures in photopolymerizable glass. Journal of Materials Chemistry C. 10(32). 11588–11597. 16 indexed citations

15.

Низамутдинов, А. С., et al.. (2022). Photooxidation of tetrahydrobiopterin as the basis of vitiligo phototherapy. Оптика и спектроскопия. 130(5). 602–602. 1 indexed citations

16.

Buglak, Andrey A., et al.. (2021). Quantitative Structure‐Property Relationship Modelling for the Prediction of Singlet Oxygen Generation by Heavy‐Atom‐Free BODIPY Photosensitizers**. Chemistry - A European Journal. 27(38). 9934–9947. 39 indexed citations

17.

Buglak, Andrey A., et al.. (2020). Autoxidation and photooxidation of tetrahydrobiopterin: a theoretical study. Free Radical Research. 55(5). 499–509. 18 indexed citations

18.

Buglak, Andrey A., Ruslan R. Ramazanov, & Alexei I. Kononov. (2019). Silver cluster–amino acid interactions: a quantum-chemical study. Amino Acids. 51(5). 855–864. 29 indexed citations

19.

Buglak, Andrey A., Sergei A. Eremin, Hongtao Lei, et al.. (2019). Ciprofloxacin and Clinafloxacin Antibodies for an Immunoassay of Quinolones: Quantitative Structure–Activity Analysis of Cross-Reactivities. International Journal of Molecular Sciences. 20(2). 265–265. 11 indexed citations

20.

Телегина, Т. А., et al.. (2013). Abiotic Photophosphorylation Model Based on Abiogenic Flavin and Pteridine Pigments. Journal of Molecular Evolution. 76(5). 332–342. 2 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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