I. A. Gamaley

584 total citations
20 papers, 479 citations indexed

About

I. A. Gamaley is a scholar working on Molecular Biology, Physiology and Biochemistry. According to data from OpenAlex, I. A. Gamaley has authored 20 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Physiology and 4 papers in Biochemistry. Recurrent topics in I. A. Gamaley's work include Coenzyme Q10 studies and effects (4 papers), Biochemical Acid Research Studies (4 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). I. A. Gamaley is often cited by papers focused on Coenzyme Q10 studies and effects (4 papers), Biochemical Acid Research Studies (4 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). I. A. Gamaley collaborates with scholars based in Russia and Hungary. I. A. Gamaley's co-authors include Igor Klyubin, O. G. Lyublinskaya, Sofia Khaitlina, Nikolay Aksenov, V. V. Zenin, Alla Shatrova, Nikolay Nikolsky, Julia Ivanova, Natalia Pugovkina and Irina Kozhukharova and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Cellular Biochemistry and Pflügers Archiv - European Journal of Physiology.

In The Last Decade

I. A. Gamaley

19 papers receiving 458 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
I. A. Gamaley Russia 9 217 82 79 38 37 20 479
Eleanor C. Kennett Australia 12 211 1.0× 120 1.5× 107 1.4× 103 2.7× 59 1.6× 13 555
Hila Emmert Germany 10 250 1.2× 84 1.0× 76 1.0× 36 0.9× 59 1.6× 16 552
Oliver Schnorr Germany 11 155 0.7× 171 2.1× 123 1.6× 36 0.9× 25 0.7× 14 575
Kuiyi Xing United States 11 332 1.5× 72 0.9× 41 0.5× 49 1.3× 25 0.7× 13 462
Yi Yi China 15 290 1.3× 52 0.6× 104 1.3× 37 1.0× 94 2.5× 59 758
Dania C. Liemburg-Apers Netherlands 6 303 1.4× 99 1.2× 45 0.6× 29 0.8× 74 2.0× 6 543
Ruixia Deng Hong Kong 11 181 0.8× 44 0.5× 37 0.5× 24 0.6× 36 1.0× 18 501
In-Sung Song South Korea 16 419 1.9× 113 1.4× 46 0.6× 48 1.3× 130 3.5× 33 693
Peter A. Glascott United States 10 288 1.3× 50 0.6× 47 0.6× 37 1.0× 39 1.1× 11 512
In Jun Yeo South Korea 16 373 1.7× 105 1.3× 139 1.8× 28 0.7× 62 1.7× 34 738

Countries citing papers authored by I. A. Gamaley

Since Specialization
Citations

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

Fields of papers citing papers by I. A. Gamaley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I. A. Gamaley. 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 I. A. Gamaley. The network helps show where I. A. Gamaley may publish in the future.

Co-authorship network of co-authors of I. A. Gamaley

This figure shows the co-authorship network connecting the top 25 collaborators of I. A. Gamaley. A scholar is included among the top collaborators of I. A. Gamaley 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 I. A. Gamaley. I. A. Gamaley 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.
Lyublinskaya, O. G., Julia Ivanova, Natalia Pugovkina, et al.. (2017). Redox environment in stem and differentiated cells: A quantitative approach. Redox Biology. 12. 758–769. 78 indexed citations
2.
Gamaley, I. A., et al.. (2015). Matrix metalloproteinase activity in transformed cells exposed to an antioxidant. Cell and Tissue Biology. 9(1). 16–23. 3 indexed citations
3.
Khaitlina, Sofia, et al.. (2015). Dihydrolipoic but not alpha-lipoic acid affects susceptibility of eukaryotic cells to bacterial invasion. Biochemical and Biophysical Research Communications. 460(3). 697–702. 8 indexed citations
4.
Lyublinskaya, O. G., et al.. (2014). Antioxidant action on the level of reactive oxygen species in normal and transformed fibroblasts. Cell and Tissue Biology. 8(1). 33–37. 5 indexed citations
5.
Gamaley, I. A., et al.. (2013). N‐acetylcysteine increases susceptibility of HeLa cells to bacterial invasion. Journal of Cellular Biochemistry. 114(7). 1568–1574. 9 indexed citations
6.
Gamaley, I. A., et al.. (2013). Telomere Shortening Is a Sole Mechanism of Aging in Mammals. Current Aging Science. 5(3). 203–208. 29 indexed citations
7.
Filatova, N. A., et al.. (2011). Reduced tumorigenicity of murine hepatoma cells after treatment with antioxidants and melatonin. Cell and Tissue Biology. 5(5). 463–470. 1 indexed citations
8.
Gamaley, I. A., et al.. (2010). N-acetylcysteine reduces susceptibility of transformed and embryonic cells to lytic activity of natural killer cells. Cell and Tissue Biology. 4(6). 580–586. 3 indexed citations
9.
Aksenov, Nikolay, et al.. (2010). Effect of alpha-lipoic acid on 3T3 and 3T3-SV40 fibroblasts: Comparison with N-acetylcysteine. Cell and Tissue Biology. 4(2). 185–191.
10.
Gamaley, I. A., et al.. (2010). Telomere shortening: The main mechanism of natural and radiation aging. BIOPHYSICS. 55(5). 848–853. 2 indexed citations
11.
Gamaley, I. A., et al.. (2009). Activity of matrix metalloproteinases in normal and transformed mouse fibroblasts exposed to antioxidants. Cell and Tissue Biology. 3(1). 56–60. 4 indexed citations
12.
Filatova, N. A., et al.. (2008). Reorganization of actin cytoskeleton in 3T3-SV40 cells and their sensitivity to lytic activity of natural killer cells. Cell and Tissue Biology. 2(2). 146–152. 1 indexed citations
13.
Gamaley, I. A., et al.. (2008). Telomere Shortening is the Sole Mechanism of Aging. 2(1). 23–28. 6 indexed citations
14.
Gamaley, I. A., et al.. (2006). N‐Acetylcysteine‐induced changes in susceptibility of transformed eukaryotic cells to bacterial invasion. Cell Biology International. 30(4). 319–325. 19 indexed citations
15.
Аврова, Н. Ф., И. О. Захарова, Vladimir A. Tyurin, et al.. (2002). Different Metabolic Effects of Ganglioside GM1 in Brain Synaptosomes and Phagocytic Cells. Neurochemical Research. 27(7-8). 751–759. 21 indexed citations
16.
Gamaley, I. A., et al.. (1999). Cell-cycle-dependent changes in membrane potential of L-929 cells caused by the effect of hydrogen peroxide. Pflügers Archiv - European Journal of Physiology. 438(1). 113–115. 2 indexed citations
17.
Kriska, Tamás, I. A. Gamaley, Gábor Vasvári, et al.. (1999). Quantitative studies on the respiratory burst generated in peritoneal macrophages. Journal of Photochemistry and Photobiology B Biology. 50(2-3). 159–165. 4 indexed citations
18.
Gamaley, I. A. & Igor Klyubin. (1999). Roles of Reactive Oxygen Species: Signaling and Regulation of Cellular Functions. International review of cytology. 188. 203–255. 158 indexed citations
19.
Klyubin, Igor, et al.. (1996). Hydrogen peroxide-induced chemotaxis of mouse peritoneal neutrophils.. PubMed. 70(4). 347–51. 113 indexed citations
20.
Gamaley, I. A., K. Augsten, & Hermann Berg. (1995). Electrostimulation of macrophage NADPH oxidase by modulated high-frequency electromagnetic fields. Bioelectrochemistry and Bioenergetics. 38(2). 415–418. 13 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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