Е. Yu. Tyunina

619 total citations
77 papers, 481 citations indexed

About

Е. Yu. Tyunina is a scholar working on Organic Chemistry, Filtration and Separation and Fluid Flow and Transfer Processes. According to data from OpenAlex, Е. Yu. Tyunina has authored 77 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Organic Chemistry, 37 papers in Filtration and Separation and 32 papers in Fluid Flow and Transfer Processes. Recurrent topics in Е. Yu. Tyunina's work include Chemical Thermodynamics and Molecular Structure (40 papers), Chemical and Physical Properties in Aqueous Solutions (37 papers) and Thermodynamic properties of mixtures (32 papers). Е. Yu. Tyunina is often cited by papers focused on Chemical Thermodynamics and Molecular Structure (40 papers), Chemical and Physical Properties in Aqueous Solutions (37 papers) and Thermodynamic properties of mixtures (32 papers). Е. Yu. Tyunina collaborates with scholars based in Russia, Bulgaria and Switzerland. Е. Yu. Tyunina's co-authors include В. Г. Баделин, G. V. Girichev, N. I. Giricheva, В. П. Баранников, Vladimir V. Rybkin, В. И. Смирнов, В. Б. Моталов, Л. С. Кудин, Артем Д. Пугачев and B. S. Lukyanov and has published in prestigious journals such as Journal of Molecular Liquids, Journal of Chemical & Engineering Data and Thermochimica Acta.

In The Last Decade

Е. Yu. Tyunina

67 papers receiving 462 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Е. Yu. Tyunina Russia 12 217 179 177 142 87 77 481
Yuliya A. Fadeeva Russia 14 106 0.5× 89 0.5× 80 0.5× 54 0.4× 38 0.4× 42 507
Irina V. Fedorova Russia 12 132 0.6× 95 0.5× 74 0.4× 49 0.3× 53 0.6× 39 362
Virginia Mazzini Australia 7 77 0.4× 62 0.3× 38 0.2× 57 0.4× 71 0.8× 7 334
Vasim R. Shaikh India 13 165 0.8× 229 1.3× 256 1.4× 26 0.2× 32 0.4× 43 401
Aditya Gupta India 10 116 0.5× 129 0.7× 113 0.6× 24 0.2× 20 0.2× 14 428
Daniel Ondo Czechia 13 132 0.6× 137 0.8× 90 0.5× 80 0.6× 31 0.4× 21 418
Kisaburo Umemoto Japan 13 150 0.7× 40 0.2× 22 0.1× 54 0.4× 64 0.7× 31 433
Puspal Mukherjee India 13 60 0.3× 40 0.2× 27 0.2× 83 0.6× 80 0.9× 35 357
Suresh Kumar Sharma India 12 76 0.4× 175 1.0× 196 1.1× 50 0.4× 8 0.1× 37 439
E. A. S. Cavell United Kingdom 11 172 0.8× 55 0.3× 108 0.6× 34 0.2× 101 1.2× 32 407

Countries citing papers authored by Е. Yu. Tyunina

Since Specialization
Citations

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

Fields of papers citing papers by Е. Yu. Tyunina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Е. Yu. Tyunina

This figure shows the co-authorship network connecting the top 25 collaborators of Е. Yu. Tyunina. A scholar is included among the top collaborators of Е. Yu. Tyunina 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 Е. Yu. Tyunina. Е. Yu. Tyunina 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.
Баранников, В. П., et al.. (2024). Characterization of complexation of uracil with peptides through its volumetric properties in buffer saline solution at different temperatures. The Journal of Chemical Thermodynamics. 201. 107402–107402.
3.
Моталов, В. Б., et al.. (2023). Thermodynamic properties of indoline and benzoxazine based spiropyrans studied by Knudsen effusion mass spectrometry. The Journal of Chemical Thermodynamics. 191. 107234–107234. 1 indexed citations
4.
Баранников, В. П., et al.. (2023). Changes in the volumetric properties of uracil in a buffered saline upon interaction with peptides: The effect of glycyl-L-tyrosine and glycyl-L-glutamic acid. The Journal of Chemical Thermodynamics. 185. 107113–107113. 3 indexed citations
5.
Tyunina, Е. Yu., et al.. (2023). The Effect of Temperature on the Volume Properties of L-Lysine in Aqueous and Aqueous Buffer Solutions. Russian Journal of Physical Chemistry A. 97(6). 1135–1141.
6.
Tyunina, Е. Yu., et al.. (2023). LiAsF6 Solutions in the Propylene Carbonate–Dimethylsulfoxide Mixed Solvent: The Conductivity and Electrochemical Stability. Russian Journal of Electrochemistry. 59(12). 1107–1117.
7.
Tyunina, Е. Yu., et al.. (2023). Effect of structure isomerism of pyridine monocarboxylic acids on thermodynamic properties of l-lysine complexation in aqueous buffer solution. The Journal of Chemical Thermodynamics. 180. 107020–107020. 4 indexed citations
8.
Tyunina, Е. Yu., et al.. (2022). Enthalpies of Sublimation and Solvation of Alanine-Containing Dipeptides. Russian Journal of Physical Chemistry A. 96(4). 696–703. 1 indexed citations
9.
Tyunina, Е. Yu., et al.. (2022). Studying the Interaction between L-Methionine and Picolinic and Nicotinic Acids by Means of Densimetry and Quantum Chemistry. Russian Journal of Physical Chemistry A. 96(1). 99–108. 1 indexed citations
10.
Tyunina, Е. Yu., et al.. (2022). Thermodynamics of complex formation between aspartic acid and 2,3,4-pyridinecarboxylic acids in aqueous solutions. The Journal of Chemical Thermodynamics. 171. 106809–106809. 4 indexed citations
11.
Tyunina, Е. Yu., et al.. (2021). Electrical Conductivity and Decomposition Potentials of the LiAsF6 Solutions in the Propylene Carbonate–N,N-Dimethylformamide Mixed Solvent. Russian Journal of Electrochemistry. 57(3). 273–280. 1 indexed citations
12.
Tyunina, Е. Yu., et al.. (2020). Molecular Interactions of L-Histidine in an Aqueous Buffer Solution in the Temperature Range of 288–313 K. Russian Journal of Physical Chemistry A. 94(4). 731–737. 4 indexed citations
13.
14.
Tyunina, Е. Yu., et al.. (2019). Electrochemical Properties of LiAsF6 Solutions in Propylene Carbonate—Acetonitrile Binary Mixtures. Russian Journal of Electrochemistry. 55(2). 122–131. 8 indexed citations
15.
Giricheva, N. I., et al.. (2018). A Quantum Chemical Simulation of the Interaction Between Leucine and the Dimer of Sodium Dodecyl Sulphate. Journal of Structural Chemistry. 59(8). 1768–1775. 3 indexed citations
16.
Баделин, В. Г., et al.. (2018). Effect of Tryptophan and Asparagine Structure on the Enthalpic Characteristics of Their Dissolution in Aqueous Solutions of Sodium Dodecyl Sulfate. Russian Journal of Physical Chemistry A. 92(3). 466–469. 1 indexed citations
17.
Tyunina, Е. Yu., et al.. (2015). Electrochemical properties of LiAsF6 solutions in low-polar aprotic solvents. Russian Journal of Electrochemistry. 51(1). 32–38. 3 indexed citations
18.
Баделин, В. Г., et al.. (2012). Mass spectrometry study of the sublimation of aliphatic dipeptides. Russian Journal of Physical Chemistry A. 86(3). 457–462. 12 indexed citations
19.
Баделин, В. Г., et al.. (2007). Calorimetric study of dissolution of amino carboxylic acids in water at 298.15 K. Russian Journal of Applied Chemistry. 80(5). 711–715. 47 indexed citations
20.
Tyunina, Е. Yu., et al.. (2003). Structural characteristics of hydration complexes of rubidium chloride in solutions. Russian Chemical Bulletin. 52(2). 336–343. 5 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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