Alexey Koval

1.9k total citations
61 papers, 1.4k citations indexed

About

Alexey Koval is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Alexey Koval has authored 61 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 13 papers in Genetics and 8 papers in Cell Biology. Recurrent topics in Alexey Koval's work include Wnt/β-catenin signaling in development and cancer (22 papers), Cancer-related gene regulation (14 papers) and Receptor Mechanisms and Signaling (12 papers). Alexey Koval is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (22 papers), Cancer-related gene regulation (14 papers) and Receptor Mechanisms and Signaling (12 papers). Alexey Koval collaborates with scholars based in Switzerland, Russia and France. Alexey Koval's co-authors include Vladimir L. Katanaev, Gonzalo P. Solis, Vladimir Purvanov, Jiabin Xu, Yonika Arum Larasati, Jean‐Luc Wolfender, Diane Egger‐Adam, Chen Lin, Laurence Marcourt and V.G.M. Naidu and has published in prestigious journals such as Cell, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Alexey Koval

56 papers receiving 1.4k citations

Peers

Alexey Koval
Yong Kee Kim South Korea
Paul S. Jones United Kingdom
Ying Wei China
Jeff Yon United Kingdom
Peter Canning United Kingdom
Tingfang Yi United States
Alexey Koval
Citations per year, relative to Alexey Koval Alexey Koval (= 1×) peers Marco Miceli

Countries citing papers authored by Alexey Koval

Since Specialization
Citations

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

Fields of papers citing papers by Alexey Koval

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexey Koval

This figure shows the co-authorship network connecting the top 25 collaborators of Alexey Koval. A scholar is included among the top collaborators of Alexey Koval 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 Koval. Alexey Koval 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.
Solis, Gonzalo P., Federica Rachele Danti, Yonika Arum Larasati, et al.. (2025). Clinical-molecular profiling of atypical GNAO1 patients: Novel pathogenic variants, unusual manifestations, and severe molecular dysfunction. Genes & Diseases. 12(5). 101522–101522. 3 indexed citations
2.
Savitsky, Mikhail, Yonika Arum Larasati, Gonzalo P. Solis, et al.. (2025). Loss of the conserved switch III region in a G protein leads to severe pediatric encephalopathy. Science Signaling. 18(910). eadu9383–eadu9383.
3.
Quirós-Guerrero, Luis-Manuel, Laurence Marcourt, Alexey Koval, et al.. (2024). Integration of Wnt-inhibitory activity and structural novelty scoring results to uncover novel bioactive natural products: new Bicyclo[3.3.1]non-3-ene-2,9-diones from the leaves of Hymenocardia punctata. Frontiers in Chemistry. 12. 1371982–1371982. 3 indexed citations
4.
Huber, Robin, Laurence Marcourt, Alexey Koval, et al.. (2023). Shallow- and Deep-Water Ophiura Species Produce a Panel of Chlorin Compounds with Potent Photodynamic Anticancer Activities. Antioxidants. 12(2). 386–386. 6 indexed citations
5.
Koval, Alexey, Xin Zhang, & Vladimir L. Katanaev. (2023). Improved approaches to channel capacity estimation discover compromised GPCR signaling in diverse cancer cells. iScience. 26(8). 107270–107270.
6.
Katanaev, Vladimir L., Alexey Koval, Jana Valnohová, Д. Н. Силачев, & Yonika Arum Larasati. (2023). Pediatric GNAO1 encephalopathies: from molecular etiology of the disease to drug discovery. Neural Regeneration Research. 18(10). 2188–2188. 11 indexed citations
7.
Larasati, Yonika Arum, Mikhail Savitsky, Alexey Koval, et al.. (2022). Restoration of the GTPase activity and cellular interactions of Gα o mutants by Zn 2+ in GNAO1 encephalopathy models. Science Advances. 8(40). eabn9350–eabn9350. 31 indexed citations
8.
Chinn, Iván K., Zhihui Xie, Eunice C. Chan, et al.. (2021). Short stature and combined immunodeficiency associated with mutations in RGS10. Science Signaling. 14(693). 3 indexed citations
9.
Koval, Alexey, Ivan Bassanini, Jiabin Xu, et al.. (2021). Optimization of the clofazimine structure leads to a highly water-soluble C3-aminopyridinyl riminophenazine endowed with improved anti-Wnt and anti-cancer activity in vitro and in vivo. European Journal of Medicinal Chemistry. 222. 113562–113562. 14 indexed citations
10.
Seguin, Laetitia, Francesca Corlazzoli, Mayra Yebra, et al.. (2021). Macropinocytosis requires Gal-3 in a subset of patient-derived glioblastoma stem cells. Communications Biology. 4(1). 718–718. 13 indexed citations
11.
Righi, Davide, Robin Huber, Alexey Koval, et al.. (2020). Generation of Stilbene Antimicrobials against Multiresistant Strains of Staphylococcus aureus through Biotransformation by the Enzymatic Secretome of Botrytis cinerea. Journal of Natural Products. 83(8). 2347–2356. 16 indexed citations
12.
Huber, Robin, Laurence Marcourt, Alexey Koval, et al.. (2020). A Cytotoxic Porphyrin from North Pacific Brittle Star Ophiura sarsii. Marine Drugs. 19(1). 11–11. 8 indexed citations
13.
Righi, Davide, Laurence Marcourt, Alexey Koval, et al.. (2019). Chemo-Diversification of Plant Extracts Using a Generic Bromination Reaction and Monitoring by Metabolite Profiling. ACS Combinatorial Science. 21(3). 171–182. 9 indexed citations
14.
Koval, Alexey, et al.. (2018). A high-throughput assay pipeline for specific targeting of frizzled GPCRs in cancer. Methods in cell biology. 149. 57–75. 23 indexed citations
15.
Koval, Alexey & Vladimir L. Katanaev. (2018). Dramatic dysbalancing of the Wnt pathway in breast cancers. Scientific Reports. 8(1). 7329–7329. 59 indexed citations
16.
Koval, Alexey, Constant Anatole Pieme, Emerson Ferreira Queiroz, et al.. (2018). Tannins from Syzygium guineense suppress Wnt signaling and proliferation of Wnt-dependent tumors through a direct effect on secreted Wnts. Cancer Letters. 435. 110–120. 42 indexed citations
17.
Olivon, Florent, Pierre‐Marie Allard, Alexey Koval, et al.. (2017). Bioactive Natural Products Prioritization Using Massive Multi-informational Molecular Networks. ACS Chemical Biology. 12(10). 2644–2651. 120 indexed citations
18.
Blagodatski, Artem, et al.. (2017). High-throughput targeted screening in triple-negative breast cancer cells identifies Wnt-inhibiting activities in Pacific brittle stars. Scientific Reports. 7(1). 11964–11964. 19 indexed citations
19.
Solis, Gonzalo P., Diane Egger‐Adam, Alexey Koval, et al.. (2014). Heterotrimeric Go protein links Wnt-Frizzled signaling with ankyrins to regulate the neuronal microtubule cytoskeleton. Development. 141(17). 3399–3409. 30 indexed citations
20.
Koval, Alexey, et al.. (2013). Anti-leprosy drug clofazimine inhibits growth of triple-negative breast cancer cells via inhibition of canonical Wnt signaling. Biochemical Pharmacology. 87(4). 571–578. 57 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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