Alexey Goltsov

758 total citations
39 papers, 567 citations indexed

About

Alexey Goltsov is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Alexey Goltsov has authored 39 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 8 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Alexey Goltsov's work include Spectroscopy and Quantum Chemical Studies (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). Alexey Goltsov is often cited by papers focused on Spectroscopy and Quantum Chemical Studies (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). Alexey Goltsov collaborates with scholars based in United Kingdom, Russia and United States. Alexey Goltsov's co-authors include Simon P. Langdon, David J. Harrison, James Bown, Igor Goryanin, Dana Faratian, Sergei G. Sokolovski, Edik U. Rafailov, Peter Mullen, Anatoly Sorokin and Yusuf Deeni and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Cancer Research.

In The Last Decade

Alexey Goltsov

38 papers receiving 552 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexey Goltsov United Kingdom 14 323 105 96 67 60 39 567
Kevin R. Kupcho United States 10 481 1.5× 46 0.4× 104 1.1× 50 0.7× 51 0.8× 22 707
David Meininger United States 19 689 2.1× 192 1.8× 124 1.3× 45 0.7× 37 0.6× 22 1.2k
Uğur Eskiocak United States 16 610 1.9× 86 0.8× 211 2.2× 64 1.0× 51 0.8× 30 938
Ian L. Dale United Kingdom 16 455 1.4× 42 0.4× 98 1.0× 28 0.4× 39 0.7× 25 672
Edita Aksamitiene United States 13 788 2.4× 48 0.5× 213 2.2× 60 0.9× 89 1.5× 36 1.2k
Katherine G. Finegan United Kingdom 13 456 1.4× 92 0.9× 162 1.7× 46 0.7× 34 0.6× 18 741
Vinothini Rajeeve United Kingdom 15 486 1.5× 26 0.2× 146 1.5× 59 0.9× 47 0.8× 37 823
Kurt W. Vogel United States 17 628 1.9× 76 0.7× 168 1.8× 21 0.3× 27 0.5× 36 909
Birgit Mosch Germany 16 484 1.5× 79 0.8× 154 1.6× 72 1.1× 18 0.3× 25 904
Zhixiang Wu China 12 963 3.0× 64 0.6× 127 1.3× 34 0.5× 34 0.6× 19 1.2k

Countries citing papers authored by Alexey Goltsov

Since Specialization
Citations

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

Fields of papers citing papers by Alexey Goltsov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexey Goltsov

This figure shows the co-authorship network connecting the top 25 collaborators of Alexey Goltsov. A scholar is included among the top collaborators of Alexey Goltsov 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 Alexey Goltsov. Alexey Goltsov 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.
Левашова, Н. Т., et al.. (2025). Modular-type nonlinearity in the modeling of tumor spheroid growth. Theoretical and Mathematical Physics. 224(1). 1202–1210.
2.
Vesnin, Sergey, et al.. (2022). Passive Microwave Radiometry and microRNA Detection for Breast Cancer Diagnostics. Diagnostics. 13(1). 118–118. 1 indexed citations
3.
Goltsov, Alexey, et al.. (2022). Collective dynamics of domain structures in liquid crystalline lipid bilayers. SHILAP Revista de lepidopterología. 10(4). 44–54. 3 indexed citations
4.
5.
Voronova, Veronika, Victor Sokolov, Yannick Morias, et al.. (2022). Evaluation of therapeutic strategies targeting BCAA catabolism using a systems pharmacology model. Frontiers in Pharmacology. 13. 993422–993422. 9 indexed citations
6.
Goltsov, Alexey, Maciej J. Swat, Kirill Peskov, & Yuri Kosinsky. (2020). Cycle Network Model of Prostaglandin H Synthase-1. Pharmaceuticals. 13(10). 265–265. 5 indexed citations
7.
Goltsov, Alexey, et al.. (2020). Electrosoliton dynamics in a thermalized molecular chain. SHILAP Revista de lepidopterología. 8(1). 43–57. 6 indexed citations
8.
Dremin, Viktor, Evgeny Zherebtsov, Andrey Dunaev, et al.. (2019). Multimodal Optical Diagnostics of the Microhaemodynamics in Upper and Lower Limbs. Frontiers in Physiology. 10. 416–416. 17 indexed citations
9.
Goltsov, Alexey, et al.. (2016). Kinetic modelling of in vitro data of PI3K, mTOR1, PTEN enzymes and on-target inhibitors Rapamycin, BEZ235, and LY294002. European Journal of Pharmaceutical Sciences. 97. 170–181. 3 indexed citations
10.
Goltsov, Alexey, et al.. (2014). Customizing the Therapeutic Response of Signaling Networks to Promote Antitumor Responses by Drug Combinations. Frontiers in Oncology. 4. 13–13. 10 indexed citations
11.
12.
Sokolovski, Sergei G., et al.. (2013). Infrared laser pulse triggers increased singlet oxygen production in tumour cells. Scientific Reports. 3(1). 3484–3484. 57 indexed citations
13.
Hu, Huizhong, Alexey Goltsov, James Bown, et al.. (2012). Feedforward and feedback regulation of the MAPK and PI3K oscillatory circuit in breast cancer. Cellular Signalling. 25(1). 26–32. 15 indexed citations
14.
Sorokin, Anatoly, Dana Faratian, Peter Mullen, et al.. (2011). Model-based global sensitivity analysis as applied to identification of anti-cancer drug targets and biomarkers of drug resistance in the ErbB2/3 network. European Journal of Pharmaceutical Sciences. 46(4). 244–258. 35 indexed citations
15.
Goltsov, Alexey, Dana Faratian, Simon P. Langdon, et al.. (2011). Features of the reversible sensitivity-resistance transition in PI3K/PTEN/AKT signalling network after HER2 inhibition. Cellular Signalling. 24(2). 493–504. 13 indexed citations
16.
Goltsov, Alexey, Dana Faratian, Simon P. Langdon, et al.. (2010). Compensatory effects in the PI3K/PTEN/AKT signaling network following receptor tyrosine kinase inhibition. Cellular Signalling. 23(2). 407–416. 19 indexed citations
17.
Faratian, Dana, Alexey Goltsov, Anatoly Sorokin, et al.. (2009). Systems Biology Reveals New Strategies for Personalizing Cancer Medicine and Confirms the Role of PTEN in Resistance to Trastuzumab. Cancer Research. 69(16). 6713–6720. 126 indexed citations
18.
Goltsov, Alexey, et al.. (2008). Kinetic modelling of NSAID action on COX-1: Focus on in vitro/in vivo aspects and drug combinations. European Journal of Pharmaceutical Sciences. 36(1). 122–136. 17 indexed citations
19.
Goltsov, Alexey & L.I. Barsukov. (2000). Synergetics of the Membrane Self-Assembly: A Micelle-to-Vesicle Transition. Journal of Biological Physics. 26(1). 27–41. 16 indexed citations
20.
Goltsov, Alexey. (1999). Electromagnetic-field-induced oscillations of the lipid domain structures in the mixed membranes. Bioelectrochemistry and Bioenergetics. 48(2). 311–316. 11 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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