Tymofii Yu. Nikolaienko

611 total citations
31 papers, 498 citations indexed

About

Tymofii Yu. Nikolaienko is a scholar working on Molecular Biology, Physical and Theoretical Chemistry and Organic Chemistry. According to data from OpenAlex, Tymofii Yu. Nikolaienko has authored 31 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 11 papers in Physical and Theoretical Chemistry and 10 papers in Organic Chemistry. Recurrent topics in Tymofii Yu. Nikolaienko's work include DNA and Nucleic Acid Chemistry (12 papers), Crystallography and molecular interactions (10 papers) and Advanced Chemical Physics Studies (7 papers). Tymofii Yu. Nikolaienko is often cited by papers focused on DNA and Nucleic Acid Chemistry (12 papers), Crystallography and molecular interactions (10 papers) and Advanced Chemical Physics Studies (7 papers). Tymofii Yu. Nikolaienko collaborates with scholars based in Ukraine, Austria and United States. Tymofii Yu. Nikolaienko's co-authors include Л. А. Булавін, Dmytro М. Hovorun, Eugene S. Kryachko, Yu. E. Nikolaenko, Grygoriy Dolgonos, Л. Ф. Суходуб, Yevgen P. Yurenko, Oleksandr I. Ivankov, Yu. E. Gorshkova and Jan Novotný and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physical Chemistry Chemical Physics and Journal of Computational Chemistry.

In The Last Decade

Tymofii Yu. Nikolaienko

30 papers receiving 478 citations

Peers

Tymofii Yu. Nikolaienko
Anmol Kumar United States
Rajesh K. Raju United Kingdom
K.A. Solanko Denmark
Peter I. Maxwell United Kingdom
Lucas Koziol United States
Anmol Kumar United States
Tymofii Yu. Nikolaienko
Citations per year, relative to Tymofii Yu. Nikolaienko Tymofii Yu. Nikolaienko (= 1×) peers Anmol Kumar

Countries citing papers authored by Tymofii Yu. Nikolaienko

Since Specialization
Citations

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

Fields of papers citing papers by Tymofii Yu. Nikolaienko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tymofii Yu. Nikolaienko

This figure shows the co-authorship network connecting the top 25 collaborators of Tymofii Yu. Nikolaienko. A scholar is included among the top collaborators of Tymofii Yu. Nikolaienko 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 Tymofii Yu. Nikolaienko. Tymofii Yu. Nikolaienko 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.
Nikolaenko, Yu. E., et al.. (2023). Comparison of thermal characteristics of three modifications of gravity heat pipe with threaded evaporator at different inclination angles. Thermal Science and Engineering Progress. 46. 102219–102219. 6 indexed citations
2.
Nikolaienko, Tymofii Yu., et al.. (2022). Complex machine learning model needs complex testing: Examining predictability of molecular binding affinity by a graph neural network. Journal of Computational Chemistry. 43(10). 728–739. 11 indexed citations
3.
Nikolaienko, Tymofii Yu., et al.. (2021). Ensembling machine learning models to boost molecular affinity prediction. Computational Biology and Chemistry. 93. 107529–107529. 10 indexed citations
4.
Kyzyma, O. A., N. V. Bashmakova, Yu. E. Gorshkova, et al.. (2019). Interaction between the plant alkaloid berberine and fullerene C70: Experimental and quantum-chemical study. Journal of Molecular Liquids. 278. 452–459. 11 indexed citations
5.
Nikolaienko, Tymofii Yu., et al.. (2019). The dataset of covalent bond lengths resulting from the first-principle calculations. Computational and Theoretical Chemistry. 1163. 112508–112508. 5 indexed citations
7.
Nikolaenko, Yu. E., et al.. (2018). Research on two-phase heat removal devices for power electronics. Thermal Science and Engineering Progress. 8. 418–425. 29 indexed citations
8.
Nikolaienko, Tymofii Yu., Eugene S. Kryachko, & Grygoriy Dolgonos. (2017). On the Existence of HeHe Bond in the Endohedral Fullerene Hе2@C60. Journal of Computational Chemistry. 39(18). 1090–1102. 11 indexed citations
9.
Nikolaienko, Tymofii Yu.. (2016). Interaction of anticancer drug doxorubicin with sodium oleate bilayer: Insights from molecular dynamics simulations. Journal of Molecular Liquids. 235. 31–43. 4 indexed citations
10.
Nikolaienko, Tymofii Yu. & Eugene S. Kryachko. (2015). Formation of dimers of light noble atoms under encapsulation within fullerene’s voids. Nanoscale Research Letters. 10(1). 185–185. 11 indexed citations
11.
Kryachko, Eugene S. & Tymofii Yu. Nikolaienko. (2015). He2@C60: Thoughts of the concept of a molecule and of the concept of a bond in quantum chemistry. International Journal of Quantum Chemistry. 115(14). 859–867. 6 indexed citations
12.
Булавін, Л. А., et al.. (2014). Interaction of DNA nucleotide bases with anticancer drug ThioTEPA: molecular docking and quantum-mechanical analysis. The Ukrainian Biochemical Journal. 86(2). 50–59. 1 indexed citations
13.
Nikolaienko, Tymofii Yu., Л. А. Булавін, & Л. Ф. Суходуб. (2014). The Complexation of the Anticancer Drug ThioTEPA with Methylated DNA Base Guanine: Combined Ab Initio and QTAIM Investigation. Molecular Informatics. 33(2). 104–114. 9 indexed citations
14.
Nikolaienko, Tymofii Yu., Л. А. Булавін, & Dmytro М. Hovorun. (2014). JANPA: An open source cross-platform implementation of the Natural Population Analysis on the Java platform. Computational and Theoretical Chemistry. 1050. 15–22. 117 indexed citations
16.
Nikolaienko, Tymofii Yu., Л. А. Булавін, & Dmytro М. Hovorun. (2012). Bridging QTAIM with vibrational spectroscopy: the energy of intramolecular hydrogen bonds in DNA-related biomolecules. Physical Chemistry Chemical Physics. 14(20). 7441–7441. 130 indexed citations
17.
Nikolaienko, Tymofii Yu., Л. А. Булавін, & Dmytro М. Hovorun. (2012). Structural flexibility of DNA-like conformers of canonical 2′-deoxyribonucleosides. Physical Chemistry Chemical Physics. 14(44). 15554–15554. 12 indexed citations
18.
Soloviov, Dmytro, Л. А. Булавін, Valentin Gordeliy, et al.. (2012). Neutron scattering investigations of the lipid bilayer structure pressure dependence. SHILAP Revista de lepidopterología. 13(1). 83–88. 4 indexed citations
19.
Nikolaienko, Tymofii Yu., Л. А. Булавін, & Dmytro М. Hovorun. (2011). How Flexible are DNA Constituents? The Quantum-Mechanical Study. Journal of Biomolecular Structure and Dynamics. 29(3). 563–575. 49 indexed citations
20.
Nikolaienko, Tymofii Yu., Л. А. Булавін, & Dmytro М. Hovorun. (2011). Conformational capacity of 5'-deoxyguanylic acid molecule investigated by quantum-mechanical methods. SHILAP Revista de lepidopterología. 27(4). 291–299. 8 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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