Е. Л. Воробейчик

1.1k total citations
72 papers, 804 citations indexed

About

Е. Л. Воробейчик is a scholar working on Ecology, Evolution, Behavior and Systematics, Pollution and Plant Science. According to data from OpenAlex, Е. Л. Воробейчик has authored 72 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Ecology, Evolution, Behavior and Systematics, 17 papers in Pollution and 16 papers in Plant Science. Recurrent topics in Е. Л. Воробейчик's work include Lichen and fungal ecology (24 papers), Heavy metals in environment (16 papers) and Forest Ecology and Biodiversity Studies (10 papers). Е. Л. Воробейчик is often cited by papers focused on Lichen and fungal ecology (24 papers), Heavy metals in environment (16 papers) and Forest Ecology and Biodiversity Studies (10 papers). Е. Л. Воробейчик collaborates with scholars based in Russia, Chile and Finland. Е. Л. Воробейчик's co-authors include Mikhail V. Kozlov, А. И. Ермаков, Irina Mikhailova, Vladimir Mikryukov, Olesya Dulya, Elena Belskaya, В. Н. Позолотина, Alexander Neaman, Еlvira A. Dovletyarova and Rosanna Ginocchio and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Chemosphere.

In The Last Decade

Е. Л. Воробейчик

64 papers receiving 785 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. Л. Воробейчик Russia 17 343 210 184 183 183 72 804
Stanislav Pen‐Mouratov Israel 15 158 0.5× 110 0.5× 351 1.9× 204 1.1× 146 0.8× 36 645
András Bidló Hungary 12 126 0.4× 72 0.3× 153 0.8× 123 0.7× 65 0.4× 53 686
A. D. Tomlin Canada 19 302 0.9× 245 1.2× 191 1.0× 209 1.1× 348 1.9× 46 1.0k
Apolline Auclerc France 13 191 0.6× 75 0.4× 58 0.3× 126 0.7× 195 1.1× 24 573
Ulfert Graefe Germany 12 194 0.6× 62 0.3× 89 0.5× 248 1.4× 243 1.3× 29 595
Torben Riis‐Nielsen Denmark 14 179 0.5× 70 0.3× 248 1.3× 358 2.0× 198 1.1× 21 1.0k
Adolfo Francisco Muñoz Rodríguez Spain 19 312 0.9× 84 0.4× 380 2.1× 198 1.1× 113 0.6× 79 937
Vitas Marozas Lithuania 14 113 0.3× 41 0.2× 176 1.0× 168 0.9× 80 0.4× 53 663
Stefano Armiraglio Italy 17 140 0.4× 146 0.7× 202 1.1× 176 1.0× 40 0.2× 43 739
M. M. Coûteaux France 15 143 0.4× 88 0.4× 217 1.2× 428 2.3× 673 3.7× 17 1.2k

Countries citing papers authored by Е. Л. Воробейчик

Since Specialization
Citations

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

Fields of papers citing papers by Е. Л. Воробейчик

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Е. Л. Воробейчик

This figure shows the co-authorship network connecting the top 25 collaborators of Е. Л. Воробейчик. A scholar is included among the top collaborators of Е. Л. Воробейчик 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. Л. Воробейчик. Е. Л. Воробейчик 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.
Воробейчик, Е. Л., et al.. (2023). Field experiment pitting magnetite nanoparticles against microparticles: Effect of size in the rehabilitation of metalcontaminated soil. Revista Brasileira de Ciência do Solo. 47. 3 indexed citations
2.
Воробейчик, Е. Л., et al.. (2023). Modification of the bait-lamina test to estimate soil macrofauna and mesofauna feeding activity. Soil Biology and Biochemistry. 183. 109047–109047. 4 indexed citations
4.
Dovletyarova, Еlvira A., et al.. (2023). Zinc’s Role in Mitigating Copper Toxicity for Plants and Microorganisms in Industrially Contaminated Soils: A Review. Russian Journal of Ecology. 54(6). 488–499. 2 indexed citations
5.
Воробейчик, Е. Л., et al.. (2023). Effect of Individual Trees on Soil Respiration in Forest Ecosystems under Industrial Pollution. Eurasian Soil Science. 56(9). 1281–1290.
6.
Neaman, Alexander, et al.. (2020). Root elongation method for the quality assessment of metal-polluted soils: Whole soil or soil-water extract?. Journal of Plant Nutrition and Soil Science. 20. 2294–2303. 3 indexed citations
7.
Воробейчик, Е. Л., et al.. (2020). Bait-Lamina Test in the Assessment of Polluted Soils: Choice of Exposure Duration. Russian Journal of Ecology. 51(5). 430–439. 8 indexed citations
8.
Воробейчик, Е. Л., et al.. (2019). Initial Stages of Recovery of Soil Macrofauna Communities after Reduction of Emissions from a Copper Smelter. Russian Journal of Ecology. 50(2). 146–160. 24 indexed citations
9.
Воробейчик, Е. Л., et al.. (2016). Industrial pollution reduces the effect of trees on forming the patterns of heavy metal concentration fields in forest litter. Russian Journal of Ecology. 47(5). 431–441. 11 indexed citations
10.
Воробейчик, Е. Л., et al.. (2015). The Structure of Spruce-Fir Tree Stands Mortality Under Impact of the Middle Ural Copper Smelter Emissions. SHILAP Revista de lepidopterología. 2 indexed citations
12.
Воробейчик, Е. Л., et al.. (2014). Dynamics of forest vegetation after the reduction of industrial emissions: Fast recovery or continued degradation?. Doklady Biological Sciences. 458(1). 302–305. 21 indexed citations
13.
Воробейчик, Е. Л., et al.. (2013). Content of heavy metals in medicinal plants in the area under aerotechnogeneous impact of the Middle Urals copper smelter.. 49(2). 203–222. 1 indexed citations
14.
Воробейчик, Е. Л., et al.. (2012). Severe industrial pollution increases the β-diversity of plant communities. Doklady Biological Sciences. 442(1). 17–19. 16 indexed citations
15.
Воробейчик, Е. Л., et al.. (2011). Effect of trees on the decomposition rate of cellulose in soils under industrial pollution. Eurasian Soil Science. 44(5). 547–560. 21 indexed citations
16.
Воробейчик, Е. Л., et al.. (2009). Effect of individual trees on the pH and the content of heavy metals in forest litters upon industrial contamination. Eurasian Soil Science. 42(8). 861–873. 14 indexed citations
17.
Воробейчик, Е. Л. & В. Н. Позолотина. (2003). Microscale Spatial Variation in Forest Litter Phytotoxicity. Russian Journal of Ecology. 34(6). 381–388. 16 indexed citations
18.
Mikhailova, Irina & Е. Л. Воробейчик. (1999). Dimensional and Age Structure of Populations of Epiphytic Lichen Hypogymnia physodes (L.) Nyl. under Conditions of Atmospheric Pollution. Russian Journal of Ecology. 30(2). 111–118. 13 indexed citations
19.
Воробейчик, Е. Л.. (1998). Populations of Earthworms (Lumbricidae) in Forests of the Middle Urals in Conditions of Pollution by Discharge from Copper Works. Russian Journal of Ecology. 29(2). 85–91. 23 indexed citations
20.
Mikhailova, Irina & Е. Л. Воробейчик. (1995). Epiphytic Lichenosynusia under Conditions of Chemical Pollution: Dose-Effect Dependencies. Russian Journal of Ecology. 26(6). 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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