E. V. Shevchenko

583 total citations
46 papers, 245 citations indexed

About

E. V. Shevchenko is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Condensed Matter Physics. According to data from OpenAlex, E. V. Shevchenko has authored 46 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Materials Chemistry, 19 papers in Atomic and Molecular Physics, and Optics and 16 papers in Condensed Matter Physics. Recurrent topics in E. V. Shevchenko's work include Advanced Condensed Matter Physics (8 papers), Solid-state spectroscopy and crystallography (7 papers) and Topological Materials and Phenomena (7 papers). E. V. Shevchenko is often cited by papers focused on Advanced Condensed Matter Physics (8 papers), Solid-state spectroscopy and crystallography (7 papers) and Topological Materials and Phenomena (7 papers). E. V. Shevchenko collaborates with scholars based in Russia, Taiwan and Germany. E. V. Shevchenko's co-authors include E. V. Charnaya, Е. Н. Хазанов, Yelena Parfyonova, П. И. Макаревич, И. Б. Белоглазова, И. Н. Рыбалкин, З. И. Цоколаева, Tkachuk Va, Alexander Shevelev and А. С. Бугаев and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Applied Physics.

In The Last Decade

E. V. Shevchenko

41 papers receiving 239 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
E. V. Shevchenko Russia	8	118	77	46	37	34	46	245
C.Y. Tung Taiwan	9	161 1.4×	65 0.8×	36 0.8×	51 1.4×	51 1.5×	12	362
Z. Wang United States	9	121 1.0×	149 1.9×	73 1.6×	43 1.2×	48 1.4×	14	359
Hiroyuki Kon Japan	11	259 2.2×	80 1.0×	71 1.5×	76 2.1×	78 2.3×	37	600
Hiroyuki Hagiwara Japan	15	215 1.8×	47 0.6×	21 0.5×	22 0.6×	60 1.8×	78	554
Shubhank Goyal India	11	237 2.0×	75 1.0×	22 0.5×	19 0.5×	52 1.5×	86	442
Peng Jin China	10	63 0.5×	43 0.6×	48 1.0×	31 0.8×	33 1.0×	36	311
Daqing Liu China	12	107 0.9×	67 0.9×	11 0.2×	40 1.1×	85 2.5×	49	364
Takayuki Harano Japan	12	132 1.1×	23 0.3×	76 1.7×	78 2.1×	34 1.0×	25	359
Youngbo Shim South Korea	9	190 1.6×	22 0.3×	8 0.2×	53 1.4×	155 4.6×	33	362

Countries citing papers authored by E. V. Shevchenko

Since Specialization

Citations

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

Fields of papers citing papers by E. V. Shevchenko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. V. Shevchenko. 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 E. V. Shevchenko. The network helps show where E. V. Shevchenko may publish in the future.

Co-authorship network of co-authors of E. V. Shevchenko

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Suleymanov, Azamat, et al.. (2025). Explainable machine learning models for predicting topsoil metals and oxides. Journal of Soils and Sediments. 25(12). 3967–3983.

Shevchenko, E. V., et al.. (2025). Depth-Dependent Molecular Composition of Peat Organic Matter Revealed by 13C NMR Spectroscopy in the Mukhrino Carbon Supersite (Khanty-Mansi Region, Russia). Molecules. 30(18). 3663–3663.

Abakumov, Evgeny, E. V. Shevchenko, Anastasiia K. Kimeklis, et al.. (2024). The Characterization of Biodiversity and Soil Emission Activity of the “Ladoga” Carbon-Monitoring Site. Atmosphere. 15(4). 420–420.

Charnaya, E. V., et al.. (2024). Coexistence of Superconductivity and Magnetic Ordering in the In–Ag Alloy Under Nanoconfinement. Nanomaterials. 14(22). 1792–1792.

Charnaya, E. V., et al.. (2023). Magnetic Studies of Superconductivity in the Ga-Sn Alloy Regular Nanostructures. Nanomaterials. 13(2). 280–280. 3 indexed citations

Makarova, Maria, Evgeny Abakumov, E. V. Shevchenko, et al.. (2023). From carbon polygon to carbon farm: The potential and ways of developing the sequestration carbon industry in the Leningrad Region and St Petersburg. Vestnik of Saint Petersburg University Earth Sciences. 68(1). 4 indexed citations

Polyakov, Vyacheslav, et al.. (2023). Estimation of Carbon Stocks and Stabilization Rates of Organic Matter in Soils of the «Ladoga» Carbon Monitoring Site. Agronomy. 13(3). 807–807. 7 indexed citations

Suleymanov, Azamat, et al.. (2023). Soil organic carbon stock retrieval from Sentinel-2A using a hybrid approach. Environmental Monitoring and Assessment. 196(1). 23–23. 6 indexed citations

Charnaya, E. V., et al.. (2023). Magnetic Studies of Iron-Doped Probable Weyl Semimetal WTe2. Condensed Matter. 8(1). 6–6. 1 indexed citations

10.

Stafeev, Iurii, И. Б. Белоглазова, Ekaterina Zubkova, et al.. (2022). Regulation of Glucose Transport in Adipocytes by Interleukin-4. Journal of Interferon & Cytokine Research. 42(3). 127–136. 4 indexed citations

11.

Крушинов, Е.В., et al.. (2022). Experimental Investigations of Severe Accidents at Nuclear Power Plants. Atomic Energy. 132(2). 116–123.

12.

Charnaya, E. V., et al.. (2021). Superconductivity of the Bi–Sn Eutectic Alloy. Physics of the Solid State. 63(2). 232–236. 1 indexed citations

13.

Filnov, S. O., И. И. Климовских, D. A. Estyunin, et al.. (2020). Probe-dependent Dirac-point gap in the gadolinium-doped thallium-based topological insulator TlBi0.9Gd0.1Se2. Physical review. B.. 102(8). 6 indexed citations

14.

Shikin, A. M., D. A. Estyunin, Aleksandra V. Koroleva, et al.. (2019). Dirac gap opening and Dirac-fermion-mediated magnetic coupling in antiferromagnetic Gd-doped topological insulators and their manipulation by synchrotron radiation. Scientific Reports. 9(1). 4813–4813. 19 indexed citations

15.

Руднев, В. С., П. В. Харитонский, Andrei Kosterov, et al.. (2019). Magnetism of Fe-doped Al2O3 and TiO2 layers formed on aluminum and titanium by plasma-electrolytic oxidation. Journal of Alloys and Compounds. 816. 152579–152579. 11 indexed citations

16.

Хазанов, Е. Н., et al.. (2018). Specific Heat and Phonon Transport in Er-Containing Rare-Earth–Aluminum Garnets at Liquid-Helium Temperatures. Journal of Experimental and Theoretical Physics. 127(4). 705–712. 5 indexed citations

17.

Shevchenko, E. V., et al.. (2018). Heat Capacity of Erbium-Doped Gallium-Gadolinium Garnet. Physics of the Solid State. 60(10). 1948–1952. 3 indexed citations

18.

Хазанов, Е. Н., et al.. (2017). Transport characteristics of phonons and the specific heat of Y2O3:ZrO2 solid solution single crystals. Journal of Experimental and Theoretical Physics. 125(5). 768–774. 7 indexed citations

19.

Shevchenko, E. V., et al.. (2017). Field-induced magnetic transition in a mixed rare-earth aluminum garnet Er2HoAl5O12. Physics of the Solid State. 59(4). 733–736. 4 indexed citations

20.

Макаревич, П. И., З. И. Цоколаева, Alexander Shevelev, et al.. (2012). Combined Transfer of Human VEGF165 and HGF Genes Renders Potent Angiogenic Effect in Ischemic Skeletal Muscle. PLoS ONE. 7(6). e38776–e38776. 45 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.

Explore authors with similar magnitude of impact