Е. A. Vorotelyak

1.5k total citations · 1 hit paper
110 papers, 1.0k citations indexed

About

Е. A. Vorotelyak is a scholar working on Molecular Biology, Cell Biology and Urology. According to data from OpenAlex, Е. A. Vorotelyak has authored 110 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 31 papers in Cell Biology and 27 papers in Urology. Recurrent topics in Е. A. Vorotelyak's work include Hair Growth and Disorders (27 papers), Skin and Cellular Biology Research (23 papers) and Pluripotent Stem Cells Research (20 papers). Е. A. Vorotelyak is often cited by papers focused on Hair Growth and Disorders (27 papers), Skin and Cellular Biology Research (23 papers) and Pluripotent Stem Cells Research (20 papers). Е. A. Vorotelyak collaborates with scholars based in Russia, United States and Tajikistan. Е. A. Vorotelyak's co-authors include Ekaterina P. Kalabusheva, A. Rippa, В. В. Терских, Э. Б. Дашинимаев, Alexander V. Vasiliev, Ksenia Gnedeva, Alexey V. Terskikh, Nadya G. Gurskaya, Flavio Cimadamore and А. P. Bolshakov and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Е. A. Vorotelyak

99 papers receiving 1.0k citations

Hit Papers

Regeneration of Dermis: Scarring and Cells Involved 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Е. A. Vorotelyak Russia 16 354 235 212 206 201 110 1.0k
Munenari Itoh Japan 15 493 1.4× 141 0.6× 131 0.6× 227 1.1× 286 1.4× 38 1.2k
Kyosuke Asakawa Japan 10 263 0.7× 322 1.4× 127 0.6× 207 1.0× 222 1.1× 11 776
Jane Nguyen United States 3 403 1.1× 487 2.1× 354 1.7× 302 1.5× 291 1.4× 8 1.1k
Adriano T. Franzi Italy 17 419 1.2× 136 0.6× 199 0.9× 148 0.7× 260 1.3× 21 2.1k
Mingxing Lei China 18 407 1.1× 461 2.0× 126 0.6× 254 1.2× 374 1.9× 55 979
Helen A. Thomason United Kingdom 14 411 1.2× 118 0.5× 257 1.2× 119 0.6× 163 0.8× 19 973
Aviad Keren Israel 17 472 1.3× 384 1.6× 110 0.5× 329 1.6× 188 0.9× 43 1.1k
Shamik Mascharak United States 18 439 1.2× 115 0.5× 696 3.3× 239 1.2× 291 1.4× 37 1.7k
Betty Laverdet France 6 206 0.6× 78 0.3× 494 2.3× 135 0.7× 88 0.4× 7 1.0k
Yuval Rinkevich Germany 20 334 0.9× 77 0.3× 583 2.8× 175 0.8× 163 0.8× 33 1.4k

Countries citing papers authored by Е. A. Vorotelyak

Since Specialization
Citations

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

Fields of papers citing papers by Е. A. Vorotelyak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Е. A. Vorotelyak

This figure shows the co-authorship network connecting the top 25 collaborators of Е. A. Vorotelyak. A scholar is included among the top collaborators of Е. A. Vorotelyak 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. A. Vorotelyak. Е. A. Vorotelyak 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.
Vorotelyak, Е. A., et al.. (2024). Expression of the Antimicrobial Peptide SE-33-A2P, a Modified Analog of Cathelicidin, and an Analysis of Its Properties. Antibiotics. 13(2). 190–190. 5 indexed citations
2.
Vorotelyak, Е. A., et al.. (2024). Development, regeneration, and physiological expansion of functional β-cells: Cellular sources and regulators. Frontiers in Cell and Developmental Biology. 12. 1424278–1424278. 5 indexed citations
3.
Sabirov, Marat, et al.. (2024). Novel insight into CD90 mesenchymal stem cell marker in mouse endometrial stroma during embryo implantation. Reproduction. 169(3). 1 indexed citations
4.
Vorotelyak, Е. A., et al.. (2024). Influence of intersignaling crosstalk on the intracellular localization of YAP/TAZ in lung cells. Cell Communication and Signaling. 22(1). 289–289. 8 indexed citations
5.
Vorotelyak, Е. A., et al.. (2024). Ideal Living Skin Equivalents, From Old Technologies and Models to Advanced Ones: The Prospects for an Integrated Approach. BioMed Research International. 2024(1). 9947692–9947692. 2 indexed citations
6.
Vorotelyak, Е. A., et al.. (2023). Immortalization Reversibility in the Context of Cell Therapy Biosafety. International Journal of Molecular Sciences. 24(9). 7738–7738. 5 indexed citations
7.
Vorotelyak, Е. A., et al.. (2023). Cultivation of limbal stem cells on a biopolymer carrier (preliminary study). Genes and Cells. 18(1). 79–88.
8.
Vorotelyak, Е. A., et al.. (2023). Survival of human cells in tissue-engineered constructs stored at room temperature. Bulletin of Russian State Medical University. 1 indexed citations
9.
Rippa, A., et al.. (2023). Blank Spots in the Map of Human Skin: The Challenge for Xenotransplantation. International Journal of Molecular Sciences. 24(16). 12769–12769. 2 indexed citations
10.
Kalabusheva, Ekaterina P., et al.. (2023). Trajectory of hiPSCs derived neural progenitor cells differentiation into dermal papilla-like cells and their characteristics. Scientific Reports. 13(1). 14213–14213. 5 indexed citations
11.
Vasiliev, Alexander V., et al.. (2022). Type 2 Diabetes Mellitus: Pathogenic Features and Experimental Models in Rodents. PubMed. 14(3). 57–68. 4 indexed citations
12.
Vorotelyak, Е. A., et al.. (2022). Production of Antimicrobial Peptides (Cathelicidin Analogues) and Evaluation of Their Biological Properties. Biology Bulletin. 49(S2). S148–S151. 4 indexed citations
13.
Gurskaya, Nadya G., et al.. (2021). Immortalization of Human Keratinocytes Using the Catalytic Subunit of Telomerase. Doklady Biochemistry and Biophysics. 496(1). 5–9. 6 indexed citations
14.
Schepetov, Dimitry М., et al.. (2021). Wal Mutant Mice Have a Mutation Associated with Autism Spectrum Disorders. Doklady Biological Sciences. 497(1). 59–61. 1 indexed citations
15.
Vorotelyak, Е. A., et al.. (2018). Postnatal neural crest stem cells from hair follicle interact with nerve tissue in vitro and in vivo. Tissue and Cell. 54. 94–104. 4 indexed citations
16.
Meleshina, Aleksandra V., et al.. (2017). Tissue-Engineered Skin Constructs and Application of Stem Cells for Creation of Skin Equivalents (Review). 9. 2 indexed citations
17.
Gnedeva, Ksenia, et al.. (2015). Derivation of Hair-Inducing Cell from Human Pluripotent Stem Cells. PLoS ONE. 10(1). e0116892–e0116892. 47 indexed citations
18.
Rippa, A., et al.. (2014). Hair follicle morphogenesis and epidermal homeostasis in we/we wal/wal mice with postnatal alopecia. Histochemistry and Cell Biology. 143(5). 481–496. 6 indexed citations
19.
Lau, Joey, et al.. (2014). Neural crest stem cells from hair follicles and boundary cap have different effects on pancreatic isletsin vitro. International Journal of Neuroscience. 125(7). 547–554. 6 indexed citations
20.
Vorotelyak, Е. A., et al.. (2010). Dermal papilla cells induce keratinocyte tubulogenesis in culture. Histochemistry and Cell Biology. 133(5). 567–576. 26 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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