А. А. Кубатиев

744 total citations
84 papers, 512 citations indexed

About

А. А. Кубатиев is a scholar working on Rheumatology, Biochemistry and Molecular Biology. According to data from OpenAlex, А. А. Кубатиев has authored 84 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Rheumatology, 20 papers in Biochemistry and 19 papers in Molecular Biology. Recurrent topics in А. А. Кубатиев's work include Folate and B Vitamins Research (20 papers), Sulfur Compounds in Biology (16 papers) and Metabolism and Genetic Disorders (8 papers). А. А. Кубатиев is often cited by papers focused on Folate and B Vitamins Research (20 papers), Sulfur Compounds in Biology (16 papers) and Metabolism and Genetic Disorders (8 papers). А. А. Кубатиев collaborates with scholars based in Russia, United Kingdom and Czechia. А. А. Кубатиев's co-authors include Alexander Vladimirovich Ivanov, Edward Danielevich Virus, А. М. Дыгай, Elena Mikhailovna Egorova, М. А. Пирадов, Н. Е. Кушлинский, О. V. Pershina, S. Morozov, Darius Widera and Е. G. Skurikhin and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Oxidative Medicine and Cellular Longevity.

In The Last Decade

А. А. Кубатиев

75 papers receiving 490 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
А. А. Кубатиев Russia 12 142 121 99 56 55 84 512
Anna Lo Russo Italy 9 192 1.4× 179 1.5× 117 1.2× 51 0.9× 30 0.5× 13 584
Maggie McMenamin United States 6 142 1.0× 190 1.6× 101 1.0× 45 0.8× 23 0.4× 7 458
Dean P. Jones United States 5 310 2.2× 162 1.3× 31 0.3× 43 0.8× 65 1.2× 9 622
Hideki Mitsuhashi Japan 13 165 1.2× 234 1.9× 51 0.5× 18 0.3× 39 0.7× 25 641
Siobhan E. Moriarty-Craige United States 7 327 2.3× 203 1.7× 54 0.5× 24 0.4× 23 0.4× 7 618
Lee Mulderrig United Kingdom 4 382 2.7× 47 0.4× 46 0.5× 31 0.6× 65 1.2× 4 647
Hu Xu China 13 330 2.3× 52 0.4× 28 0.3× 102 1.8× 54 1.0× 22 731
Małgorzata Jaworska Germany 14 133 0.9× 43 0.4× 92 0.9× 15 0.3× 75 1.4× 35 638
Gen Takebe Japan 8 237 1.7× 40 0.3× 27 0.3× 20 0.4× 28 0.5× 12 660

Countries citing papers authored by А. А. Кубатиев

Since Specialization
Citations

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

Fields of papers citing papers by А. А. Кубатиев

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of А. А. Кубатиев

This figure shows the co-authorship network connecting the top 25 collaborators of А. А. Кубатиев. A scholar is included among the top collaborators of А. А. Кубатиев 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 А. А. Кубатиев. А. А. Кубатиев 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.
Ivanov, Alexander Vladimirovich, et al.. (2025). Plasma Cystine as a Marker of Acute Stroke Severity. Diagnostics. 15(20). 2662–2662.
2.
Ivanov, Alexander Vladimirovich, et al.. (2025). Determination of Main Aminothiols in Blood Plasma Using Capillary Electrophoresis With UV Detection. Biomedical Chromatography. 39(3). e70017–e70017. 1 indexed citations
3.
Ivanov, Alexander Vladimirovich, et al.. (2023). Influence of Coronary Artery Bypass Grafts on Blood Aminothiols in Patients with Coronary Artery Disease. Metabolites. 13(6). 743–743. 1 indexed citations
4.
Ivanov, Alexander Vladimirovich, et al.. (2023). Neuroprotective Effect of Platinum Nanoparticles Is Not Associated with Their Accumulation in the Brain of Rats. Journal of Functional Biomaterials. 14(7). 348–348. 1 indexed citations
5.
Skurikhin, Е. G., О. V. Pershina, Darius Widera, et al.. (2023). Reprogrammed CD8+ T-Cells Isolated from the Mouse Spleen Increase the Number of Immune Cells with Antitumor Activity and Decrease the Amount of Cancer Stem Cells. SHILAP Revista de lepidopterología. 40–40. 1 indexed citations
6.
Skurikhin, Е. G., О. V. Pershina, Victor M. Goldberg, et al.. (2022). Analysis of Circulating Tumor and Cancer Stem Cells Provides New Opportunities in Diagnosis and Treatment of Small Cell Lung Cancer. International Journal of Molecular Sciences. 23(18). 10853–10853. 3 indexed citations
7.
Skurikhin, Е. G., О. V. Pershina, Darius Widera, et al.. (2022). Cell Therapy with Human Reprogrammed CD8+ T-Cells Has Antimetastatic Effects on Lewis Lung Carcinoma in C57BL/6 Mice. International Journal of Molecular Sciences. 23(24). 15780–15780. 4 indexed citations
8.
Skurikhin, Е. G., О. V. Pershina, Darius Widera, et al.. (2022). Reprogrammed CD8+ T-Lymphocytes Isolated from Bone Marrow Have Anticancer Potential in Lung Cancer. Biomedicines. 10(6). 1450–1450. 11 indexed citations
9.
Sergeeva, Ekaterina, et al.. (2022). Physiological properties of cells under microgravity conditions. 15–22. 2 indexed citations
10.
Skurikhin, Е. G., О. V. Pershina, Darius Widera, et al.. (2021). Spiperone Stimulates Regeneration in Pulmonary Endothelium Damaged by Cigarette Smoke and Lipopolysaccharide. SHILAP Revista de lepidopterología. 11 indexed citations
11.
Kryukov, Е. V., et al.. (2021). Plasma S-Adenosylmethionine Is Associated with Lung Injury in COVID-19. Disease Markers. 2021. 1–10. 16 indexed citations
12.
Kryukov, Е. V., et al.. (2021). Association of Low Molecular Weight Plasma Aminothiols with the Severity of Coronavirus Disease 2019. Oxidative Medicine and Cellular Longevity. 2021(1). 9221693–9221693. 18 indexed citations
13.
Skurikhin, Е. G., Vladimir E. Nebolsin, Darius Widera, et al.. (2020). Antifibrotic and Regenerative Effects of Treamid in Pulmonary Fibrosis. International Journal of Molecular Sciences. 21(21). 8380–8380. 11 indexed citations
14.
Nebolsin, Vladimir E., О. V. Pershina, Darius Widera, et al.. (2020). Antidiabetic Effects of Bisamide Derivative of Dicarboxylic Acid in Metabolic Disorders. International Journal of Molecular Sciences. 21(3). 991–991. 4 indexed citations
15.
16.
Ivanov, Alexander Vladimirovich, et al.. (2019). Disturbance of thiol/disulfide aminothiols homeostasis in patients with acute ischemic stroke stroke: Preliminary findings. Clinical Neurology and Neurosurgery. 183. 105393–105393. 13 indexed citations
17.
Pershina, О. V., Darius Widera, S. Morozov, et al.. (2019). Gender Differences in the Pharmacological Actions of Pegylated Glucagon-Like Peptide-1 on Endothelial Progenitor Cells and Angiogenic Precursor Cells in a Combination of Metabolic Disorders and Lung Emphysema. International Journal of Molecular Sciences. 20(21). 5414–5414. 5 indexed citations
18.
19.
Ivanov, Alexander Vladimirovich, et al.. (2018). Platelets apoptosis in rats after global brain ischemia. Zhurnal «Patologicheskaia fiziologiia i eksperimental`naia terapiia». 27–35.
20.
Кубатиев, А. А., et al.. (2017). Wavelet Analysis of Cerebral Microcirculation in Hypovolemic Shock. Bulletin of Experimental Biology and Medicine. 162(3). 406–408. 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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