С. В. Хайдуков

517 total citations
60 papers, 387 citations indexed

About

С. В. Хайдуков is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, С. В. Хайдуков has authored 60 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Immunology, 22 papers in Molecular Biology and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in С. В. Хайдуков's work include Glycosylation and Glycoproteins Research (13 papers), T-cell and B-cell Immunology (12 papers) and Immunotherapy and Immune Responses (11 papers). С. В. Хайдуков is often cited by papers focused on Glycosylation and Glycoproteins Research (13 papers), T-cell and B-cell Immunology (12 papers) and Immunotherapy and Immune Responses (11 papers). С. В. Хайдуков collaborates with scholars based in Russia, New Zealand and Germany. С. В. Хайдуков's co-authors include Alexander Apt, Irina V. Lyadova, H. M. Vordermeier, R. Glyn Hewinson, Lidia P. Sashchenko, Nicolai V. Bovin, E. M. Rapoport, V. A. Nesmeyanov, A. V. Kolesnikov and Z S Alekberova and has published in prestigious journals such as SHILAP Revista de lepidopterología, FEBS Letters and International Journal of Molecular Sciences.

In The Last Decade

С. В. Хайдуков

55 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
С. В. Хайдуков Russia 11 172 146 60 52 42 60 387
Djenet Bousbaine United States 11 148 0.9× 272 1.9× 76 1.3× 94 1.8× 67 1.6× 15 589
Joey Ting United States 12 74 0.4× 249 1.7× 157 2.6× 81 1.6× 34 0.8× 15 535
Dina Soroush Iran 10 164 1.0× 179 1.2× 47 0.8× 93 1.8× 80 1.9× 12 520
Yu-Tsueng Liu United States 9 88 0.5× 216 1.5× 43 0.7× 72 1.4× 53 1.3× 9 485
Carine M. Gonçalves Portugal 11 162 0.9× 90 0.6× 26 0.4× 32 0.6× 29 0.7× 12 362
Stephanie Pollock United Kingdom 7 88 0.5× 228 1.6× 46 0.8× 69 1.3× 13 0.3× 11 417
Dinesh Jaishankar United States 15 180 1.0× 173 1.2× 60 1.0× 242 4.7× 22 0.5× 28 664
George Krashias Cyprus 10 125 0.7× 98 0.7× 45 0.8× 91 1.8× 47 1.1× 25 330
Elham Masoumi Iran 13 239 1.4× 289 2.0× 97 1.6× 61 1.2× 56 1.3× 26 701
Raffaella Parente Italy 9 240 1.4× 117 0.8× 48 0.8× 50 1.0× 28 0.7× 18 400

Countries citing papers authored by С. В. Хайдуков

Since Specialization
Citations

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

Fields of papers citing papers by С. В. Хайдуков

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by С. В. Хайдуков. 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 С. В. Хайдуков. The network helps show where С. В. Хайдуков may publish in the future.

Co-authorship network of co-authors of С. В. Хайдуков

This figure shows the co-authorship network connecting the top 25 collaborators of С. В. Хайдуков. A scholar is included among the top collaborators of С. В. Хайдуков 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 С. В. Хайдуков. С. В. Хайдуков 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.
Shilova, Nadezhda, Ekaterina A. Obraztsova, С. В. Хайдуков, et al.. (2024). Surface Glycans of Microvesicles Derived from Endothelial Cells, as Probed Using Plant Lectins. International Journal of Molecular Sciences. 25(11). 5725–5725. 1 indexed citations
2.
Tuzikov, Alexander, Polina Obukhova, Inna E. Popova, et al.. (2024). Antigen Presentation in an Artificial and Cell Membrane: Blood Group A Glycan Recognition. ChemBioChem. 26(1). e202400843–e202400843.
3.
Олейников, В. А., Andrey S. Trulioff, М. К. Серебрякова, et al.. (2023). Emission and Migration of Nanoscale Particles during Osseointegration and Disintegration of Dental Implants in the Clinic and Experiment and the Influence on Cytokine Production. International Journal of Molecular Sciences. 24(11). 9678–9678. 2 indexed citations
4.
Alekseeva, Anna, Ivan Boldyrev, С. В. Хайдуков, et al.. (2023). Protein Corona of Anionic Fluid-Phase Liposomes Compromises Their Integrity Rather than Uptake by Cells. Membranes. 13(7). 681–681. 6 indexed citations
5.
Rapoport, E. M., Elena Korchagina, С. В. Хайдуков, et al.. (2023). Galectin-9 Modulates Adhesion of Lymphocytes to Endothelium Via Binding to Blood Group H Glycan. SSRN Electronic Journal. 1 indexed citations
6.
Shilova, Nadezhda, Н. В. Антипова, Polina Obukhova, et al.. (2020). Human Natural Antibodies Recognizing Glycan Galβ1-3GlcNAc (LeC). International Journal of Molecular Sciences. 21(18). 6511–6511. 5 indexed citations
7.
Хайдуков, С. В., et al.. (2019). CHARACTERISTICS OF CELLULAR COMPARTMENT CHANGES OF IMMUNE SYSTEM IN THE PATIENTS WITH CHRONIC POLYPOUS RHINOSINUSITIS DEPEND ON EFFICIENCY OF DRUG THERAPY. SHILAP Revista de lepidopterología. 21(4). 715–724. 1 indexed citations
8.
Хайдуков, С. В., et al.. (2014). MULTI-COLOUR CYTOMETRIC ANALYSIS. IDENTIFICATION OF T LYMPHOCYTES AND THEIR SUBSETS. Medical Immunology (Russia). 10(2-3). 115–115.
9.
Хайдуков, С. В.. (2014). APPROACHES TO STANDARDIZATION OF THE FLOW CYTOMETRY METHOD FOR CELLS IMMUNOPHENOTIPING. CYTOMETRS ADJUSTMENT AND PREPARATION OF PROTOCOLS FOR ANALYSIS. Medical Immunology (Russia). 9(6). 569–569. 1 indexed citations
10.
Хайдуков, С. В., et al.. (2014). LOCAL AND SYSTEMIC IMMUNE MECHANISMS OF CHRONIC INFLAMMATION IN THE PATIENTS WITH MILD BRONCHIAL ASTHMA. Medical Immunology (Russia). 11(2-3). 169–169. 2 indexed citations
11.
Хайдуков, С. В., et al.. (2014). MAJOR AND LYMPHOCYTE POPULATIONS OF HUMAN PERIPHERAL BLOOD LYMPHOCYTES AND THEIR REFERENCE VALUES, AS ASSAYED BY MULTI-COLOUR CYTOMETRY. Medical Immunology (Russia). 11(2-3). 227–227. 9 indexed citations
12.
Хайдуков, С. В., et al.. (2014). FLOW CYTOMETRY AS A MODERN ANALYTICAL TOOL IN BIOLOGY AND MEDICINE. Medical Immunology (Russia). 9(4-5). 373–373. 1 indexed citations
13.
Хайдуков, С. В., et al.. (2014). MODERN TECHNOLOGIES AND APPROACHES TO APOPTOSIS STUDIES IN EXPERIMENTAL BIOLOGY. Medical Immunology (Russia). 14(6). 461–461. 13 indexed citations
14.
Хайдуков, С. В.. (2014). MINOR SUBSETS OF T-HELPER CELLS (Th THYMIC NAIVE, Th CENTRAL NAIVE, Th9, Th22 AND CD4+CD8+ DOUBLE POSITIVE T-CELLS). Medical Immunology (Russia). 15(6). 503–503. 4 indexed citations
15.
Хайдуков, С. В., et al.. (2014). ANALYSIS OF T HELPER SUBPOPULATIONS (Th1, Th2, Treg, Th17, ACTIVATED T-HELPERS) BY MEANS OF FLOW CYTOMETRY. Medical Immunology (Russia). 13(1). 7–7. 3 indexed citations
16.
Хайдуков, С. В., et al.. (2014). EXPANSION OF OPPORTUNITIES OF THE FLOW CYTOMETRY METHOD FOR CLINICAL AND IMMUNOLOGYCAL PRACTICE. Medical Immunology (Russia). 10(1). 5–5. 1 indexed citations
17.
Хайдуков, С. В., et al.. (2005). Induction of Differentiation in Leukemic Cell Strains with Myelopeptide-4. Bulletin of Experimental Biology and Medicine. 140(5). 554–557. 4 indexed citations
18.
Kozyr, A. V., Lidia P. Sashchenko, A. V. Kolesnikov, et al.. (2002). Anti-DNA autoantibodies reveal toxicity to tumor cell lines. Immunology Letters. 80(1). 41–47. 39 indexed citations
19.
Sashchenko, Lidia P., С. В. Хайдуков, A. V. Kozyr, et al.. (2001). Caspase-Dependent Cytotoxicity of Anti-DNA Autoantibodies. Doklady Biochemistry and Biophysics. 380(1-6). 313–315. 5 indexed citations
20.
Sumaroka, Marina, et al.. (1991). Muramyl peptide‐binding sites are located inside target cells. FEBS Letters. 295(1-3). 48–50. 17 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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