Sergey E. Sedykh

1.7k total citations · 3 hit papers
56 papers, 1.2k citations indexed

About

Sergey E. Sedykh is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases. According to data from OpenAlex, Sergey E. Sedykh has authored 56 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 15 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Infectious Diseases. Recurrent topics in Sergey E. Sedykh's work include Monoclonal and Polyclonal Antibodies Research (15 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and Extracellular vesicles in disease (8 papers). Sergey E. Sedykh is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (15 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and Extracellular vesicles in disease (8 papers). Sergey E. Sedykh collaborates with scholars based in Russia, Germany and Kazakhstan. Sergey E. Sedykh's co-authors include Georgy A. Nevinsky, Anna M. Timofeeva, Maria R. Galyamova, Valentina N. Buneva, V. Ya. Prinz, Pavel S. Dmitrenok, E. I. Ryabchikova, Valentin V. Vlassov, Dmitry V. Bulgakov and Alina Grigor’eva and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Sergey E. Sedykh

51 papers receiving 1.1k citations

Hit Papers

Prospects for Using Phosphate-Solubilizing Microorganisms... 2022 2026 2023 2024 2022 2022 2023 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sergey E. Sedykh Russia 14 496 332 225 211 138 56 1.2k
Xuemei Zhong China 19 246 0.5× 121 0.4× 81 0.4× 615 2.9× 45 0.3× 89 1.3k
Hai Liang United States 20 305 0.6× 90 0.3× 66 0.3× 97 0.5× 49 0.4× 51 1.1k
Zhen Qin China 13 455 0.9× 204 0.6× 44 0.2× 177 0.8× 42 0.3× 31 940
Paola Mariani Italy 24 703 1.4× 512 1.5× 61 0.3× 192 0.9× 119 0.9× 89 1.9k
Mamta Gupta India 19 356 0.7× 403 1.2× 17 0.1× 109 0.5× 122 0.9× 81 1.4k
Wil A. M. Loenen Netherlands 16 974 2.0× 140 0.4× 63 0.3× 500 2.4× 87 0.6× 20 1.8k
Jingjing Jiang China 23 1.4k 2.8× 1.2k 3.8× 127 0.6× 134 0.6× 273 2.0× 97 2.5k
Zhiyong Li China 25 735 1.5× 806 2.4× 12 0.1× 115 0.5× 167 1.2× 103 1.7k
Wenjing Wang China 15 237 0.5× 123 0.4× 23 0.1× 149 0.7× 93 0.7× 55 744
Anna M. Timofeeva Russia 14 288 0.6× 328 1.0× 219 1.0× 156 0.7× 23 0.2× 45 813

Countries citing papers authored by Sergey E. Sedykh

Since Specialization
Citations

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

Fields of papers citing papers by Sergey E. Sedykh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergey E. Sedykh

This figure shows the co-authorship network connecting the top 25 collaborators of Sergey E. Sedykh. A scholar is included among the top collaborators of Sergey E. Sedykh 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 Sergey E. Sedykh. Sergey E. Sedykh 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.
Timofeeva, Anna M., et al.. (2025). Antibodies Specific to Rheumatologic and Neurologic Pathologies Found in Patient with Long COVID. SHILAP Revista de lepidopterología. 5(1). 1–1. 2 indexed citations
3.
Dysin, Artem P., et al.. (2024). Comparison of miR-106b, miR-191, and miR-30d expression dynamics in milk with regard to its composition in Holstein and Ayrshire cows. Animal Bioscience. 37(6). 965–981. 1 indexed citations
5.
Timofeeva, Anna M., Maria R. Galyamova, & Sergey E. Sedykh. (2023). Plant Growth-Promoting Bacteria of Soil: Designing of Consortia Beneficial for Crop Production. Microorganisms. 11(12). 2864–2864. 29 indexed citations
7.
Sedykh, Sergey E., et al.. (2023). Isolation of Extracellular Vesicles of Holothuria (Sea Cucumber Eupentacta fraudatrix). International Journal of Molecular Sciences. 24(16). 12907–12907. 2 indexed citations
8.
Timofeeva, Anna M., Sergey E. Sedykh, Pavel S. Dmitrenok, & Georgy A. Nevinsky. (2023). Identification of Antibody-Mediated Hydrolysis Sites of Oligopeptides Corresponding to the SARS-CoV-2 S-Protein by MALDI-TOF Mass Spectrometry. International Journal of Molecular Sciences. 24(18). 14342–14342. 4 indexed citations
9.
Matveev, Andrey L., Oleg V. Pyankov, Anna M. Timofeeva, et al.. (2023). Novel B-Cell Epitopes of Non-Neutralizing Antibodies in the Receptor-Binding Domain of the SARS-CoV-2 S-Protein with Different Effects on the Severity of COVID-19. Biochemistry (Moscow). 88(9). 1205–1214. 2 indexed citations
10.
Sedykh, Sergey E., et al.. (2022). Milk exosomes as delivery agents for therapy of cancer diseases. SHILAP Revista de lepidopterología. 9(2). 23–31.
11.
Sedykh, Sergey E., et al.. (2021). Secretory immunoglobulin A from human milk hydrolyzes 5 histones and myelin basic protein. Journal of Dairy Science. 105(2). 950–964. 1 indexed citations
12.
Baranova, Svetlana V., Pavel S. Dmitrenok, Valentina N. Buneva, Sergey E. Sedykh, & Georgy A. Nevinsky. (2021). HIV-Infected Patients: Cross Site-Specific Hydrolysis of H3 and H4 Histones and Myelin Basic Protein with Antibodies against These Three Proteins. Molecules. 26(2). 316–316. 8 indexed citations
13.
Sedykh, Sergey E., Valery P. Tereshchenko, С. В. Сенников, et al.. (2021). Catalytic antibodies in the bone marrow and other organs of Th mice during spontaneous development of experimental autoimmune encephalomyelitis associated with cell differentiation. Molecular Biology Reports. 48(2). 1055–1068. 7 indexed citations
14.
Ermakov, Evgeny A., et al.. (2020). Secretory immunoglobulin A from human milk hydrolyzes microRNA. Journal of Dairy Science. 103(8). 6782–6797. 9 indexed citations
15.
Ermakov, Evgeny A., et al.. (2020). IgGs from Human Milk Hydrolyze microRNAs. Molecules. 25(10). 2366–2366. 6 indexed citations
16.
Grigor’eva, Alina, Dmitry V. Bulgakov, Pavel S. Dmitrenok, et al.. (2019). Extra Purified Exosomes from Human Placenta Contain an Unpredictable Small Number of Different Major Proteins. International Journal of Molecular Sciences. 20(10). 2434–2434. 42 indexed citations
17.
Sedykh, Sergey E. & Georgy A. Nevinsky. (2019). Producing and prospects for the use of bispecific antibodies for the treatment of cancer. SHILAP Revista de lepidopterología. 5(4). 30–40. 1 indexed citations
18.
Zakharova, Olga D., et al.. (2018). The DNA-hydrolyzing activity of IgG antibodies from human placenta. Placenta. 68. 1–8. 2 indexed citations
19.
Sedykh, Sergey E., Alina Grigor’eva, Dmitry V. Bulgakov, et al.. (2017). Purified horse milk exosomes contain an unpredictable small number of major proteins. PubMed. 4. 61–72. 46 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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