Artem V. Artemov

2.9k total citations · 1 hit paper
30 papers, 1.4k citations indexed

About

Artem V. Artemov is a scholar working on Molecular Biology, Cancer Research and Aquatic Science. According to data from OpenAlex, Artem V. Artemov has authored 30 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 7 papers in Cancer Research and 4 papers in Aquatic Science. Recurrent topics in Artem V. Artemov's work include Epigenetics and DNA Methylation (6 papers), RNA modifications and cancer (4 papers) and Single-cell and spatial transcriptomics (3 papers). Artem V. Artemov is often cited by papers focused on Epigenetics and DNA Methylation (6 papers), RNA modifications and cancer (4 papers) and Single-cell and spatial transcriptomics (3 papers). Artem V. Artemov collaborates with scholars based in Russia, United States and Austria. Artem V. Artemov's co-authors include Alex Zhavoronkov, Alexander Aliper, Polina Mamoshina, Sergey Plis, Alvaro Ulloa, Ivan V. Ozerov, David Sidransky, Evgeny Izumchenko, Ksenia Lezhnina and Quentin Vanhaelen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Artem V. Artemov

29 papers receiving 1.3k citations

Hit Papers

Deep Learning Applications for Predicting Pharmacological... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Artem V. Artemov Russia 16 719 342 230 226 126 30 1.4k
Ivan V. Ozerov United States 20 699 1.0× 272 0.8× 293 1.3× 184 0.8× 188 1.5× 34 1.3k
Livia Perfetto Italy 17 2.0k 2.7× 452 1.3× 133 0.6× 141 0.6× 146 1.2× 43 2.3k
Nehmé El-Hachem Canada 19 892 1.2× 378 1.1× 297 1.3× 121 0.5× 285 2.3× 50 1.9k
Hyeon-Nae Jeon South Korea 6 921 1.3× 141 0.4× 137 0.6× 211 0.9× 265 2.1× 9 1.4k
Max Kotlyar Canada 20 1.1k 1.5× 221 0.6× 114 0.5× 137 0.6× 127 1.0× 49 1.6k
Philipp Pagel Germany 26 1.7k 2.3× 180 0.5× 264 1.1× 141 0.6× 244 1.9× 53 2.3k
Yukiko Matsuoka Japan 19 879 1.2× 187 0.5× 311 1.4× 235 1.0× 96 0.8× 33 1.6k
Roberta Bosotti Italy 13 1.0k 1.4× 420 1.2× 263 1.1× 105 0.5× 157 1.2× 28 1.4k
Francesca Sacco Italy 18 1.7k 2.4× 253 0.7× 148 0.6× 156 0.7× 124 1.0× 44 2.1k
Marc Hafner United States 19 1.2k 1.7× 470 1.4× 467 2.0× 95 0.4× 246 2.0× 58 2.0k

Countries citing papers authored by Artem V. Artemov

Since Specialization
Citations

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

Fields of papers citing papers by Artem V. Artemov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Artem V. Artemov. 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 Artem V. Artemov. The network helps show where Artem V. Artemov may publish in the future.

Co-authorship network of co-authors of Artem V. Artemov

This figure shows the co-authorship network connecting the top 25 collaborators of Artem V. Artemov. A scholar is included among the top collaborators of Artem V. Artemov 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 Artem V. Artemov. Artem V. Artemov 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.
Sarkar, Hirak, Jörg Otte, Thale Kristin Olsen, et al.. (2025). Comparative Single-Cell Transcriptomics of Human Neuroblastoma and Preclinical Models Reveals Conservation of an Adrenergic Cell State. Cancer Research. 85(6). 1015–1034. 2 indexed citations
2.
Zhou, Chikai, et al.. (2023). STRA6 is essential for induction of vascular smooth muscle lineages in human embryonic cardiac outflow tract development. Cardiovascular Research. 119(5). 1202–1217. 5 indexed citations
3.
Laddach, Anna, Song Hui Chng, Reena Lasrado, et al.. (2023). A branching model of lineage differentiation underpinning the neurogenic potential of enteric glia. Nature Communications. 14(1). 5904–5904. 28 indexed citations
4.
Reinhardt, Annika, Charlotte Gustafsson, Artem V. Artemov, et al.. (2021). Bhlhe40 function in activated B and TFH cells restrains the GC reaction and prevents lymphomagenesis. The Journal of Experimental Medicine. 219(2). 19 indexed citations
5.
Artemov, Artem V., Annika Reinhardt, Sebastian Ols, et al.. (2021). Limited access to antigen drives generation of early B cell memory while restraining the plasmablast response. Immunity. 54(9). 2005–2023.e10. 58 indexed citations
6.
Artemov, Artem V., Svetlana Zhenilo, Alexey Sokolov, et al.. (2021). An IDH-independent mechanism of DNA hypermethylation upon VHL inactivation in cancer. Epigenetics. 17(8). 894–905. 5 indexed citations
7.
Khamis, Abdullah M., Artem V. Artemov, Vasily Ramensky, et al.. (2019). CpG traffic lights are markers of regulatory regions in human genome. BMC Genomics. 20(1). 102–102. 29 indexed citations
8.
Artemov, Artem V., et al.. (2018). Age: Distinction between Death and Organism Cells from the Positions of the Mathematical Model. Ukraïnsʹkij žurnal medicini bìologìï ta sportu. 3(1). 215–220.
9.
Ravi, Rajani, Kimberly Noonan, Vui Pham, et al.. (2018). Bifunctional immune checkpoint-targeted antibody-ligand traps that simultaneously disable TGFβ enhance the efficacy of cancer immunotherapy. Nature Communications. 9(1). 741–741. 250 indexed citations
10.
Artemov, Artem V., et al.. (2018). VHL inactivation without hypoxia is sufficient to achieve genome hypermethylation. Scientific Reports. 8(1). 10667–10667. 9 indexed citations
11.
Artemov, Artem V., N. S. Mugue, Sergey Rastorguev, et al.. (2017). Genome-Wide DNA Methylation Profiling Reveals Epigenetic Adaptation of Stickleback to Marine and Freshwater Conditions. Molecular Biology and Evolution. 34(9). 2203–2213. 92 indexed citations
12.
Rastorguev, Sergey, Artem Nedoluzhko, Eugenia Boulygina, et al.. (2017). Differential miRNA expression in the three-spined stickleback, response to environmental changes. Scientific Reports. 7(1). 18089–18089. 13 indexed citations
13.
Aliper, Alexander, Leslie C. Jellen, Franco Cortese, et al.. (2017). Towards natural mimetics of metformin and rapamycin. Aging. 9(11). 2245–2268. 76 indexed citations
15.
Vanhaelen, Quentin, Polina Mamoshina, Alexander Aliper, et al.. (2016). Design of efficient computational workflows for in silico drug repurposing. Drug Discovery Today. 22(2). 210–222. 97 indexed citations
16.
Ozerov, Ivan V., Ksenia Lezhnina, Evgeny Izumchenko, et al.. (2016). In silico Pathway Activation Network Decomposition Analysis (iPANDA) as a method for biomarker development. Nature Communications. 7(1). 13427–13427. 93 indexed citations
17.
Aliper, Alexander, Aleksey V. Belikov, Andrew Garazha, et al.. (2016). In search for geroprotectors: in silico screening and in vitro validation of signalome-level mimetics of young healthy state. Aging. 8(9). 2127–2152. 45 indexed citations
18.
Artemov, Artem V., Maria D. Logacheva, Aleksey A. Penin, et al.. (2014). The clustering of CpG islands may constitute an important determinant of the 3D organization of interphase chromosomes. Epigenetics. 9(7). 951–963. 16 indexed citations
19.
Artemov, Artem V., Eugenia Boulygina, Svetlana Tsygankova, et al.. (2014). Study of Alzheimer family case reveals hemochromotosis-associated HFE mutation. Human Genome Variation. 1(1). 14004–14004. 3 indexed citations
20.
Nevedomskaya, Ekaterina, Tiziana Pacchiarotta, Artem V. Artemov, et al.. (2012). 1H NMR-based metabolic profiling of urinary tract infection: combining multiple statistical models and clinical data. Metabolomics. 8(6). 1227–1235. 25 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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