Н. В. Гончарова

499 total citations
31 papers, 366 citations indexed

About

Н. В. Гончарова is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Н. В. Гончарова has authored 31 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Н. В. Гончарова's work include Mesenchymal stem cell research (5 papers), Cell Image Analysis Techniques (4 papers) and RNA Interference and Gene Delivery (3 papers). Н. В. Гончарова is often cited by papers focused on Mesenchymal stem cell research (5 papers), Cell Image Analysis Techniques (4 papers) and RNA Interference and Gene Delivery (3 papers). Н. В. Гончарова collaborates with scholars based in Belarus, Russia and Slovakia. Н. В. Гончарова's co-authors include С. М. Космачева, М. П. Потапнев, Valery A. Loiko, Antos Shakhbazau, Dirk Van Bockstaele, Maria Bryszewska, Dzmitry Shcharbin, Elena Omelchenko, Т. А. Короленко and Jean‐Pierre Majoral and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Biological Macromolecules and Current Medicinal Chemistry.

In The Last Decade

Н. В. Гончарова

29 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Н. В. Гончарова Belarus 12 138 70 59 46 38 31 366
Wenhong Jiang China 14 183 1.3× 54 0.8× 20 0.3× 4 0.1× 29 0.8× 31 459
Richard O. Cliff United States 14 156 1.1× 16 0.2× 60 1.0× 7 0.2× 38 1.0× 22 453
Peter M. Sullivan United States 13 129 0.9× 79 1.1× 19 0.3× 66 1.4× 28 0.7× 24 536
Adip G. Bhargav United States 12 158 1.1× 111 1.6× 92 1.6× 3 0.1× 32 0.8× 28 487
Baolong Su United States 9 288 2.1× 23 0.3× 88 1.5× 14 0.3× 18 0.5× 14 609
Scott R. Tyler United States 17 301 2.2× 21 0.3× 79 1.3× 6 0.1× 12 0.3× 24 728
Anthony Leonard United States 7 118 0.9× 7 0.1× 39 0.7× 8 0.2× 20 0.5× 10 364
Ali Rafat Iran 11 355 2.6× 23 0.3× 114 1.9× 9 0.2× 8 0.2× 30 504
Brian Mead United States 7 165 1.2× 34 0.5× 369 6.3× 5 0.1× 55 1.4× 11 668

Countries citing papers authored by Н. В. Гончарова

Since Specialization
Citations

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

Fields of papers citing papers by Н. В. Гончарова

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Н. В. Гончарова

This figure shows the co-authorship network connecting the top 25 collaborators of Н. В. Гончарова. A scholar is included among the top collaborators of Н. В. Гончарова 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 Н. В. Гончарова. Н. В. Гончарова 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.
2.
Гончарова, Н. В., et al.. (2023). Dual Effect of Amino Acid Compositions on Antibacterial Activity of Human Neutrophilic Granulocytes. Biochemistry (Moscow) Supplement Series B Biomedical Chemistry. 17(1). 17–25. 1 indexed citations
3.
Космачева, С. М., et al.. (2021). Clinical benefits of single vs repeated courses of mesenchymal stem cell therapy in epilepsy patients. Clinical Neurology and Neurosurgery. 207. 106736–106736. 17 indexed citations
4.
Гончарова, Н. В., et al.. (2017). Cystatin C as a Marker of Progressing Cardiovascular Events during Coronary Heart Disease. Bulletin of Experimental Biology and Medicine. 162(4). 421–424. 10 indexed citations
5.
Короленко, Т. А., Thomas P. Johnston, E. Machová, et al.. (2017). Hypolipidemic effect of mannans from C. albicans serotypes a and B in acute hyperlipidemia in mice. International Journal of Biological Macromolecules. 107(Pt B). 2385–2394. 25 indexed citations
6.
Космачева, С. М., et al.. (2017). Treatment of refractory epilepsy patients with autologous mesenchymal stem cells reduces seizure frequency: An open label study. Advances in Medical Sciences. 62(2). 273–279. 41 indexed citations
7.
Космачева, С. М., et al.. (2016). OUR EXPERIENCE IN APPLICATION OF AUTOLOGOUS BONE-MARROW-DERIVED MESENCHYMAL STEM CELLS FOR THERAPY OF PATIENTS WITH SYMPTOMATIC EPILEPSY. SHILAP Revista de lepidopterología. 1 indexed citations
8.
Гончарова, Н. В., et al.. (2016). Depression of Macrophages Modifies Serum Lipid Profile in Hyperlipidemia. Bulletin of Experimental Biology and Medicine. 160(5). 617–621. 1 indexed citations
9.
Гончарова, Н. В., et al.. (2016). Hypolipidemic Effect of Mannan in Mice with Acute Lipemia Induced by Poloxamer 407. Bulletin of Experimental Biology and Medicine. 162(1). 18–22. 6 indexed citations
10.
Космачева, С. М., et al.. (2015). The Use of Autologous Mesenchymal Stem Cells for Cell Therapy of Patients with Amyotrophic Lateral Sclerosis in Belarus. Bulletin of Experimental Biology and Medicine. 159(4). 576–581. 32 indexed citations
11.
Pisareva, Ekaterina, et al.. (2014). Role of Changes in Serum Chitotriosidase Activity in Mice under Conditions of Hyperlipidemia and Lipid-Lowering Effect of Carboxymethylated (1-3)-β-D-Glycan. Bulletin of Experimental Biology and Medicine. 157(5). 555–559. 6 indexed citations
12.
Гончарова, Н. В., et al.. (2011). Effect of cholesterol on the functional activity of proteins responsible for the resistance of human lymphocytes to xenobiotics. BIOPHYSICS. 56(3). 436–443. 1 indexed citations
13.
Shakhbazau, Antos, Dzmitry Shcharbin, Н. В. Гончарова, et al.. (2011). Neurons and Stromal Stem Cells as Targets for Polycation-Mediated Transfection. Bulletin of Experimental Biology and Medicine. 151(1). 126–129. 19 indexed citations
14.
Космачева, С. М., et al.. (2011). Hepatogenic Potential of Human Bone Marrow and Umbilical Cord Blood Mesenchymal Stem Cells. Bulletin of Experimental Biology and Medicine. 151(1). 142–149. 7 indexed citations
15.
Гончарова, Н. В., et al.. (2010). Light scattering and morphology of the lymphocyte as applied to flow cytometry for distinguishing healthy and infected individuals. Journal of Biomedical Optics. 15(5). 57008–57008. 14 indexed citations
16.
Гончарова, Н. В., et al.. (2009). Plasticity of Human Mesenchymal Stem Cell Phenotype and Expression Profile under Neurogenic Conditions. Bulletin of Experimental Biology and Medicine. 147(4). 513–516. 11 indexed citations
17.
Shakhbazau, Antos, et al.. (2008). Viral Vectors for Stable Transduction of Human Mesenchymal Stem Cells: Systems Based on Adeno-Associated Viruses and Lentiviruses. Bulletin of Experimental Biology and Medicine. 146(4). 531–533. 8 indexed citations
18.
Космачева, С. М., et al.. (2007). Investigation of morphometric parameters for granulocytes and lymphocytes as applied to a solution of direct and inverse light-scattering problems. Journal of Biomedical Optics. 12(4). 44017–44017. 33 indexed citations
19.
Omelchenko, Elena, et al.. (2006). Gender differences in employment behavior in Russia’s new labour market. 122–148. 18 indexed citations
20.
Гончарова, Н. В., et al.. (1994). Discrepancy between direct and antibody-dependent cytotoxic activities of human LAK cells. Immunology Letters. 41(1). 13–17. 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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