S. А. Selkov

1.1k total citations
143 papers, 768 citations indexed

About

S. А. Selkov is a scholar working on Immunology, Obstetrics and Gynecology and Molecular Biology. According to data from OpenAlex, S. А. Selkov has authored 143 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Immunology, 68 papers in Obstetrics and Gynecology and 32 papers in Molecular Biology. Recurrent topics in S. А. Selkov's work include Reproductive System and Pregnancy (79 papers), Pregnancy and preeclampsia studies (55 papers) and Immune Cell Function and Interaction (25 papers). S. А. Selkov is often cited by papers focused on Reproductive System and Pregnancy (79 papers), Pregnancy and preeclampsia studies (55 papers) and Immune Cell Function and Interaction (25 papers). S. А. Selkov collaborates with scholars based in Russia, Germany and United Kingdom. S. А. Selkov's co-authors include Д. И. Соколов, Anna Egorova, Anton Kiselev, В. С. Баранов, Marianna Maretina, Igor Yu. Kogan, Daniil Korenkov, Maria I. Yarmolinskaya, Andrey Kolobov and Maxim Shevtsov and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Molecules.

In The Last Decade

S. А. Selkov

116 papers receiving 755 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. А. Selkov Russia 15 452 327 243 112 99 143 768
Hua Zhu Canada 18 293 0.6× 359 1.1× 300 1.2× 134 1.2× 141 1.4× 30 755
Valerie Fock Austria 12 230 0.5× 195 0.6× 179 0.7× 47 0.4× 52 0.5× 16 525
Yuh-Cheng Yang Taiwan 12 165 0.4× 115 0.4× 141 0.6× 104 0.9× 23 0.2× 18 576
D. Djokovic Portugal 15 101 0.2× 225 0.7× 320 1.3× 215 1.9× 72 0.7× 37 756
Jun Lin China 23 474 1.0× 693 2.1× 236 1.0× 777 6.9× 182 1.8× 68 1.3k
A. Meisser Switzerland 15 566 1.3× 532 1.6× 217 0.9× 198 1.8× 229 2.3× 23 1.1k
Premila Paiva Australia 17 972 2.2× 606 1.9× 215 0.9× 621 5.5× 259 2.6× 24 1.4k
Ling Xi China 15 95 0.2× 66 0.2× 259 1.1× 62 0.6× 33 0.3× 36 588
Pengpeng Qu China 16 81 0.2× 105 0.3× 329 1.4× 52 0.5× 32 0.3× 61 701
Atsushi Yanaihara Japan 18 194 0.4× 176 0.5× 338 1.4× 313 2.8× 227 2.3× 42 932

Countries citing papers authored by S. А. Selkov

Since Specialization
Citations

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

Fields of papers citing papers by S. А. Selkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. А. Selkov. 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 S. А. Selkov. The network helps show where S. А. Selkov may publish in the future.

Co-authorship network of co-authors of S. А. Selkov

This figure shows the co-authorship network connecting the top 25 collaborators of S. А. Selkov. A scholar is included among the top collaborators of S. А. Selkov 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 S. А. Selkov. S. А. Selkov 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.
Selkov, S. А., et al.. (2025). Use of plasmapheresis and intravenous immunoglobulins in pregnant women with antiphospholipid syndrome. Medical Immunology (Russia). 27(1). 35–44.
2.
Selkov, S. А., et al.. (2025). Regulation of natural killer cells cytotoxicity by trophoblast cells: proteins and receptors. Open Access Repository (Belgorod State National Research University). 11(1).
3.
Смирнов, И. В., et al.. (2024). Endoglin Regulates Intercellular Interactions between Trophoblast and Natural Killer Cells. Journal of Evolutionary Biochemistry and Physiology. 60(3). 930–946.
4.
Selkov, S. А., et al.. (2024). M1/M2 macrophages: origin, phenotype, methods of production, interaction with natural killer cells and trophoblast. SHILAP Revista de lepidopterología. 26(3). 425–448. 1 indexed citations
5.
6.
Bespalova, Olesya N., et al.. (2024). Micropreparative Cell Lysate Fractionation in Studying the Effect of Natural Killer Cells on Phenotype, Migration and Apoptosis of Trophoblast Cells in vitro. Journal of Evolutionary Biochemistry and Physiology. 60(4). 1385–1398.
7.
Babakov, Vladimir, et al.. (2023). Maternal insulin‐like growth factors and insulin‐like growth factor‐binding proteins for macrosomia prediction in diabetic and nondiabetic pregnancy: A prospective study. International Journal of Gynecology & Obstetrics. 162(2). 605–613. 5 indexed citations
8.
Соколов, Д. И., et al.. (2023). Natural Killer Cell Derived Microvesicles Affect the Function of Trophoblast Cells. Membranes. 13(2). 213–213. 3 indexed citations
9.
Kogan, Igor Yu., et al.. (2023). Deep Semantic Segmentation of Angiogenesis Images. International Journal of Molecular Sciences. 24(2). 1102–1102. 4 indexed citations
10.
Selkov, S. А., et al.. (2023). Prognostic value of anti- and proangiogenic factors in severe preeclampsia. Journal of obstetrics and women s diseases. 72(2). 5–17. 1 indexed citations
11.
Selkov, S. А., et al.. (2023). Crosstalk between ESKAPE bacteria and NK cells: mutual regulation and role in developing reproductive tract pathologies. SHILAP Revista de lepidopterología. 13(4). 609–626.
12.
Симбирцев, А. С., et al.. (2022). Protein Fractions of Natural Killer Cell Lysates Affect the Phenotype, Proliferation and Migration of Endothelial Cells in vitro. Journal of Evolutionary Biochemistry and Physiology. 58(S1). S134–S150. 1 indexed citations
13.
Selkov, S. А., et al.. (2020). Microvesicles produced by natural killer cells of the NK-92 cell line affect the phenotype and functions of endothelial cells of the EA.Hy926 cell line. SHILAP Revista de lepidopterología. 22(2). 249–268. 8 indexed citations
14.
Kogan, Igor Yu., et al.. (2018). Microvesicles of leukocyte origin. Annals of the Russian academy of medical sciences. 73(6). 378–387. 2 indexed citations
15.
Соколов, Д. И., et al.. (2017). EFFECTS OF PLACENTAL FACTORS UPON DEVELOPMENT OF TUBULAR STRUCTURES BY ENDOTHELIAL CELLS IN PRESENCE OF TROPHOBLASTIC CELLS. Medical Immunology (Russia). 19(3). 285–292. 1 indexed citations
16.
Selkov, S. А., et al.. (2017). PECULIARITIES OF NK CELLS DIFFERENTIATION: CD56dim AND CD56bright NK CELLS AT PREGNANCY AND IN NON-PREGNANT STATE. Medical Immunology (Russia). 19(1). 19–26. 15 indexed citations
17.
Соколов, Д. И., et al.. (2014). ROLE OF PRO- AND ANTIANGIOGENIC FACTORS IN PLACENTAL DEVELOPMENT. Medical Immunology (Russia). 10(4-5). 347–347. 2 indexed citations
18.
Selkov, S. А., et al.. (2014). EFFECTS OF SECRETABLE PLACENTAL FACTORS UPON SECRETION OF CYTOKINES BY THP-1 MONOCYTE-LIKE CELLS. Medical Immunology (Russia). 15(3). 227–227.
19.
Selkov, S. А., et al.. (2014). IMMUNOREGULATORY EFFECTS OF INTRAVENOUS IMMUNOGLOBULINS. Medical Immunology (Russia). 15(1). 5–5. 4 indexed citations
20.
Selkov, S. А., et al.. (2014). EXPRESSION OF SURFACE MARKERS ON CD4+T-LYMPHOCYTES IN NORMAL PREGNANCY AND PRE-ECLAMPSIA. Medical Immunology (Russia). 14(3). 195–195. 1 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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