Boris V. Dons’koi

491 total citations
37 papers, 362 citations indexed

About

Boris V. Dons’koi is a scholar working on Immunology, Reproductive Medicine and Obstetrics and Gynecology. According to data from OpenAlex, Boris V. Dons’koi has authored 37 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Immunology, 10 papers in Reproductive Medicine and 7 papers in Obstetrics and Gynecology. Recurrent topics in Boris V. Dons’koi's work include Reproductive System and Pregnancy (23 papers), Immune Cell Function and Interaction (19 papers) and Endometriosis Research and Treatment (10 papers). Boris V. Dons’koi is often cited by papers focused on Reproductive System and Pregnancy (23 papers), Immune Cell Function and Interaction (19 papers) and Endometriosis Research and Treatment (10 papers). Boris V. Dons’koi collaborates with scholars based in Ukraine, United States and Germany. Boris V. Dons’koi's co-authors include Chernyshov Vp, Carolyn B. Coulam, Roumen G. Roussev, Sivakumar Ramu, Eytan R. Barnea, E Schleußner, Rodolfo R. Fávaro, Jana Pastuschek, Udo R. Markert and А. П. Солдаткин and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Allergy and Clinical Immunology and Journal of Immunological Methods.

In The Last Decade

Boris V. Dons’koi

33 papers receiving 342 citations

Peers

Boris V. Dons’koi

IMMUN

PHEOH

Lalita Savardekar India

Zehra Sema Özkan Türkiye

Krechetova L.V. Krechetova Russia

Maria Diniz-da-Costa United Kingdom

Daniel Paparini Argentina

Romina Novembri Italy

Guillermina Calo Argentina

Millina Lee South Korea

Britta Klein Germany

M. Matteo Italy

Lalita Savardekar India

Boris V. Dons’koi

139 ×0.5

IMMUN

113 ×0.8

118 ×1.1

PHEOH

84 ×1.4

72 ×2.6

Citations per year, relative to Boris V. Dons’koi Boris V. Dons’koi (= 1×) peers Lalita Savardekar

Countries citing papers authored by Boris V. Dons’koi

Since Specialization

Citations

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

Fields of papers citing papers by Boris V. Dons’koi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Boris V. Dons’koi. 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 Boris V. Dons’koi. The network helps show where Boris V. Dons’koi may publish in the future.

Co-authorship network of co-authors of Boris V. Dons’koi

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

All Works

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20 of 20 papers shown

Kozeretska, Iryna, et al.. (2025). Immune accentuations as a prognostic factor for adaptation in Antarctic conditions. Polar Biology. 48(2).

Dons’koi, Boris V., et al.. (2024). Monocyte subpopulations in children with autoimmune liver disease. Pathology - Research and Practice. 263. 155622–155622. 1 indexed citations

Dons’koi, Boris V.. (2023). Theory of immune accentuations: formation of accentuated immunophenotype. Likarska sprava. 1 indexed citations

Dons’koi, Boris V., et al.. (2023). Changes in the immunophenotype of endometrium during implantation window receptivity formation in healthy fertile women. Placenta. 143. 62–68. 1 indexed citations

Dons’koi, Boris V., et al.. (2023). A Blinded Investigation: Accentuated NK Lymphocyte CD335 (NKp46) Expression Predicts Pregnancy Failures. Diagnostics. 13(11). 1845–1845. 2 indexed citations

Dons’koi, Boris V., et al.. (2022). A blinded multicenter investigation: Accentuated NK lymphocyte CD335 (NKp46) expression predicts reproductive failures after IVF.. Immunology Letters. 251-252. 47–55. 6 indexed citations

Kozeretska, Iryna, et al.. (2021). Immune factors and health of Antarctic explorers. SHILAP Revista de lepidopterología. 94–105. 5 indexed citations

Pastuschek, Jana, et al.. (2020). Beyond Uterine Natural Killer Cell Numbers in Unexplained Recurrent Pregnancy Loss: Combined Analysis of CD45, CD56, CD16, CD57, and CD138. Diagnostics. 10(9). 650–650. 13 indexed citations

Vp, Chernyshov, et al.. (2019). Comparison of T and NK lymphocyte subsets between human endometrial tissue and peripheral blood. Central European Journal of Immunology. 44(3). 316–321. 13 indexed citations

10.

Dons’koi, Boris V., et al.. (2019). Enumeration of peripheral blood NKp46 positive NK lymphocytes reflects NK cytotoxic activity in vitro. Journal of Immunological Methods. 474. 112639–112639. 10 indexed citations

11.

Dons’koi, Boris V., et al.. (2019). HCMV seropositivity is associated with specific proinflammatory immune phenotype in women with implantation failure. Immunology Letters. 217. 84–90. 8 indexed citations

12.

Rachkov, Alexandre, et al.. (2017). Surface Plasmon Resonance Investigations of Bioselective Element Based on the Recombinant Protein A for Immunoglobulin Detection. Nanoscale Research Letters. 12(1). 112–112. 9 indexed citations

13.

Vp, Chernyshov, et al.. (2016). Multiple immune deviations predictive for IVF failure as possible markers for IVIG therapy. Immunology Letters. 176. 44–50. 15 indexed citations

14.

Dons’koi, Boris V., et al.. (2016). Repeated cupping manipulation temporary decreases natural killer lymphocyte frequency, activity and cytotoxicity. Journal of Integrative Medicine. 14(3). 197–202. 19 indexed citations

15.

Vp, Chernyshov, et al.. (2016). REDUCED RESPONSE OF NATURAL KILLER LYMPHOCYTES TO TOLL-LIKE RECEPTOR 3 STIMULATION IN CHILDREN WITH RECURRENT INFECTIONS. PubMed. 62(4). 12–17. 3 indexed citations

16.

Vp, Chernyshov, et al.. (2014). Favorable immune phenotype predicts successful implantation and pregnancy. Immunology Letters. 162(2). 217–221. 18 indexed citations

17.

Dons’koi, Boris V., et al.. (2013). Peripheral blood natural killer cells activation status determined by CD69 upregulation predicts implantation outcome in IVF. Immunobiology. 219(3). 167–171. 23 indexed citations

18.

Roussev, Roumen G., Boris V. Dons’koi, Sivakumar Ramu, et al.. (2012). Preimplantation factor inhibits circulating natural killer cell cytotoxicity and reduces CD69 expression: implications for recurrent pregnancy loss therapy. Reproductive BioMedicine Online. 26(1). 79–87. 56 indexed citations

19.

Dons’koi, Boris V., et al.. (2011). Measurement of NK activity in whole blood by the CD69 up-regulation after co-incubation with K562, comparison with NK cytotoxicity assays and CD107a degranulation assay. Journal of Immunological Methods. 372(1-2). 187–195. 56 indexed citations

20.

Vp, Chernyshov, et al.. (2010). Elevated NK Cell Cytotoxicity, CD158a Expression in NK Cells and Activated T Lymphocytes in Peripheral Blood of Women with IVF Failures. American Journal of Reproductive Immunology. 64(1). 58–67. 40 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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