Sergey Aksenov

573 total citations
24 papers, 408 citations indexed

About

Sergey Aksenov is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Sergey Aksenov has authored 24 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Pulmonary and Respiratory Medicine and 6 papers in Oncology. Recurrent topics in Sergey Aksenov's work include Lung Cancer Treatments and Mutations (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and DNA Repair Mechanisms (3 papers). Sergey Aksenov is often cited by papers focused on Lung Cancer Treatments and Mutations (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and DNA Repair Mechanisms (3 papers). Sergey Aksenov collaborates with scholars based in United States, Russia and Japan. Sergey Aksenov's co-authors include Dennis Bray, Thomas Shimizu, Gabriel Helmlinger, Iya Khalil, Kirill Peskov, Nidal Al‐Huniti, Steven F. Dowdy, Robert E. Miller, Rina Gendelman and Naohisa Yoshioka and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Molecular Biology and Cancer Research.

In The Last Decade

Sergey Aksenov

24 papers receiving 394 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sergey Aksenov United States 12 236 79 69 42 33 24 408
Lorenz Adlung Germany 8 243 1.0× 55 0.7× 47 0.7× 17 0.4× 25 0.8× 15 455
Jonathan Wagg Switzerland 8 480 2.0× 82 1.0× 46 0.7× 27 0.6× 65 2.0× 20 645
Paul Jasper United States 13 459 1.9× 161 2.0× 48 0.7× 35 0.8× 93 2.8× 22 732
Przemysław Waliszewski Poland 16 216 0.9× 42 0.5× 63 0.9× 89 2.1× 34 1.0× 40 562
Max Schelker Germany 7 318 1.3× 81 1.0× 24 0.3× 25 0.6× 22 0.7× 7 450
Muxue Tang China 10 256 1.1× 64 0.8× 35 0.5× 72 1.7× 76 2.3× 13 595
Chen‐Hsiang Yeang Taiwan 13 615 2.6× 48 0.6× 82 1.2× 23 0.5× 41 1.2× 37 762
Mikiya Otsuji Japan 8 174 0.7× 66 0.8× 13 0.2× 51 1.2× 19 0.6× 20 474
Laurent Pujo-Menjouet France 16 363 1.5× 58 0.7× 104 1.5× 81 1.9× 38 1.2× 46 893
Ruth Dannenfelser United States 13 387 1.6× 186 2.4× 43 0.6× 32 0.8× 33 1.0× 19 633

Countries citing papers authored by Sergey Aksenov

Since Specialization
Citations

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

Fields of papers citing papers by Sergey Aksenov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergey Aksenov

This figure shows the co-authorship network connecting the top 25 collaborators of Sergey Aksenov. A scholar is included among the top collaborators of Sergey Aksenov 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 Sergey Aksenov. Sergey Aksenov 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.
Smits, Lisa, Yi Zhang, Claire Woodward, et al.. (2025). First-in-human study to assess the safety, pharmacokinetics, and pharmacodynamics of ARV-102, a PROTAC LRRK2 degrader, in healthy volunteers. Parkinsonism & Related Disorders. 134. 107624–107624. 2 indexed citations
2.
Aksenov, Sergey, et al.. (2021). Current and Next Steps Toward Prediction of Human Dose for Gene Therapy Using Translational Dose‐Response Studies. Clinical Pharmacology & Therapeutics. 110(5). 1176–1179. 11 indexed citations
3.
Sunnåker, Mikael, Dinko Rekić, Sergey Aksenov, et al.. (2021). A semi-mechanistic exposure–response model to assess the effects of verinurad, a potent URAT1 inhibitor, on serum and urine uric acid in patients with hyperuricemia-associated diseases. Journal of Pharmacokinetics and Pharmacodynamics. 48(4). 525–541. 6 indexed citations
4.
Aksenov, Sergey, et al.. (2020). Modeling Tumor Growth and Treatment Resistance Dynamics Characterizes Different Response to Gefitinib or Chemotherapy in Non‐Small Cell Lung Cancer. CPT Pharmacometrics & Systems Pharmacology. 9(3). 143–152. 7 indexed citations
5.
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Aksenov, Sergey, et al.. (2019). Depth estimation based on convolutional neural networks. Proceedings of Tomsk State University of Control Systems and Radioelectronics. 22(1). 83–86. 1 indexed citations
8.
Slatter, J. Greg, et al.. (2018). Population Pharmacokinetics of the BTK Inhibitor Acalabrutinib and its Active Metabolite in Healthy Volunteers and Patients with B-Cell Malignancies. Clinical Pharmacokinetics. 58(5). 659–672. 17 indexed citations
9.
Aksenov, Sergey, et al.. (2018). An Ensemble of Convolutional Neural Networks for the Use in Video Endoscopy. Sovremennye tehnologii v medicine. 10(2). 7–7. 4 indexed citations
10.
Aksenov, Sergey, Carl C. Peck, Ulf G. Eriksson, & Donald R. Stanski. (2018). Individualized treatment strategies for hyperuricemia informed by a semi-mechanistic exposure-response model of uric acid dynamics. Physiological Reports. 6(5). e13614–e13614. 6 indexed citations
11.
Al‐Huniti, Nidal, Hongmei Xu, Diansong Zhou, et al.. (2018). Abstract 4761: Joint model of longitudinal tumor size and overall survival (OS) in non-small cell lung cancer (NSCLC): A Bayesian approach. Cancer Research. 78(13_Supplement). 4761–4761. 1 indexed citations
12.
Helmlinger, Gabriel, Nidal Al‐Huniti, Sergey Aksenov, et al.. (2017). Drug-disease modeling in the pharmaceutical industry - where mechanistic systems pharmacology and statistical pharmacometrics meet. European Journal of Pharmaceutical Sciences. 109. S39–S46. 24 indexed citations
13.
Al‐Huniti, Nidal, Hongmei Xu, Diansong Zhou, et al.. (2017). Population Exposure‐Response Modeling Supported Selection of Naloxegol Doses in Phase III Studies in Patients With Opioid‐Induced Constipation. CPT Pharmacometrics & Systems Pharmacology. 6(10). 705–711. 2 indexed citations
14.
Al‐Huniti, Nidal, Diansong Zhou, Hongmei Xu, et al.. (2017). Pharmacometric Modeling of Naloxegol Efficacy and Safety: Impact on Dose and Label. Clinical Pharmacology & Therapeutics. 102(5). 741–744. 8 indexed citations
15.
Yoshioka, Naohisa, Robert E. Miller, Rina Gendelman, et al.. (2007). A systems biology dynamical model of mammalian G 1 cell cycle progression. Molecular Systems Biology. 3(1). 84–84. 50 indexed citations
16.
Aksenov, Sergey, et al.. (2005). An integrated approach for inference and mechanistic modeling for advancing drug development. FEBS Letters. 579(8). 1878–1883. 25 indexed citations
17.
Shimizu, Thomas, Sergey Aksenov, & Dennis Bray. (2003). A Spatially Extended Stochastic Model of the Bacterial Chemotaxis Signalling Pathway. Journal of Molecular Biology. 329(2). 291–309. 118 indexed citations
18.
Aksenov, Sergey. (1999). Dynamics of the inducing signal for the SOS regulatory system in Escherichia coli after ultraviolet irradiation. Mathematical Biosciences. 157(1-2). 269–286. 16 indexed citations
19.
Aksenov, Sergey. (1999). Induction of the SOS Response in Ultraviolet-Irradiated Escherichia coli Analyzed by Dynamics of LexA, RecA and SulA Proteins. Journal of Biological Physics. 25(2-3). 263–277. 13 indexed citations
20.
Aksenov, Sergey, et al.. (1997). Mathematical Model of the SOS Response Regulation of an Excision Repair Deficient Mutant ofEscherichia coliafter Ultraviolet Light Irradiation. Journal of Theoretical Biology. 186(2). 251–260. 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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