Alexander Aliper

5.1k total citations · 1 hit paper
58 papers, 3.1k citations indexed

About

Alexander Aliper is a scholar working on Molecular Biology, Computational Theory and Mathematics and Physiology. According to data from OpenAlex, Alexander Aliper has authored 58 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 12 papers in Computational Theory and Mathematics and 8 papers in Physiology. Recurrent topics in Alexander Aliper's work include Computational Drug Discovery Methods (12 papers), Bioinformatics and Genomic Networks (9 papers) and Genetics, Aging, and Longevity in Model Organisms (5 papers). Alexander Aliper is often cited by papers focused on Computational Drug Discovery Methods (12 papers), Bioinformatics and Genomic Networks (9 papers) and Genetics, Aging, and Longevity in Model Organisms (5 papers). Alexander Aliper collaborates with scholars based in Russia, United States and United Kingdom. Alexander Aliper's co-authors include Alex Zhavoronkov, Polina Mamoshina, Anton Buzdin, Artem V. Artemov, Alexey Moskalev, Alvaro Ulloa, Sergey Plis, S. A. Roumiantsev, Artur Kadurin and Quentin Vanhaelen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Alexander Aliper

54 papers receiving 2.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep Learning Applications for Predicting Pharmacological Properties of Drugs and Drug Repurposing Using Transcriptomic Data

2016 363 citations Alexander Aliper, Artem V. Artemov et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alexander Aliper Russia	29	1.4k	790	314	294	245	58	3.1k
Polina Mamoshina United States	19	1.2k 0.8×	817 1.0×	381 1.2×	299 1.0×	284 1.2×	24	2.9k
Anil Wipat United Kingdom	31	2.7k 1.9×	182 0.2×	105 0.3×	166 0.6×	582 2.4×	158	4.9k
Jasmin Fisher United Kingdom	23	1.6k 1.1×	474 0.6×	173 0.6×	118 0.4×	70 0.3×	60	2.5k
Honghuang Lin United States	35	2.0k 1.3×	400 0.5×	100 0.3×	35 0.1×	263 1.1×	195	4.1k
Christopher W.V. Hogue Canada	25	6.9k 4.8×	975 1.2×	399 1.3×	166 0.6×	293 1.2×	62	8.9k
Sean D. Mooney United States	39	3.7k 2.5×	154 0.2×	124 0.4×	286 1.0×	685 2.8×	140	6.0k
Bobby‐Joe Breitkreutz Canada	14	5.3k 3.7×	803 1.0×	87 0.3×	116 0.4×	163 0.7×	16	6.2k
Frederick P. Roth United States	49	9.9k 6.8×	1.1k 1.4×	135 0.4×	292 1.0×	260 1.1×	133	11.9k
Chris T. Evelo Netherlands	40	4.0k 2.8×	722 0.9×	199 0.6×	42 0.1×	706 2.9×	175	6.9k
Andrew Chatr‐aryamontri United States	18	4.7k 3.3×	861 1.1×	76 0.2×	62 0.2×	149 0.6×	29	5.5k

Countries citing papers authored by Alexander Aliper

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Aliper

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Aliper

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Aliper. A scholar is included among the top collaborators of Alexander Aliper 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 Alexander Aliper. Alexander Aliper is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Xu, Zefeng, Ping Wang, Jie Cao, et al.. (2025). INS018-055, A Novel Traf2- and NCK-interacting Kinase (TNIK) Inhibitor, Improves Lung Function in Patients With Idiopathic Pulmonary Fibrosis: Results From a Randomized, Double-blind, Placebo-controlled Phase 2a Study. American Journal of Respiratory and Critical Care Medicine. 211(Supplement_1). A2904–A2904.

Wang, Yazhou, Jinxin Liu, Yihong Zhang, et al.. (2025). Rational Design and Identification of ISM7594 as a Tissue-Agnostic FGFR2/3 Inhibitor. Journal of Medicinal Chemistry. 68(13). 13887–13906. 3 indexed citations

Sun, Deheng, Xin Cai, Xiao Ding, et al.. (2025). Design, Synthesis and Biological Evaluation of Novel, Potent, Selective and Orally Available DGKα Inhibitors for the Treatment of Tumors. Journal of Medicinal Chemistry. 68(23). 25011–25025.

Shneyderman, Anastasia, et al.. (2025). From clock to clock: Therapeutic target discovery for aging and age-related diseases. Ageing Research Reviews. 112. 102871–102871.

Sun, Deheng, Zhen Wang, Lihua Min, et al.. (2025). Design, Synthesis, and Biological Evaluation of Novel Orally Available Covalent CDK12/13 Dual Inhibitors for the Treatment of Tumors. Journal of Medicinal Chemistry. 68(4). 4148–4167. 6 indexed citations

Galkin, Fedor, Shan Chen, Alexander Aliper, Alex Zhavoronkov, & Feng Ren. (2025). AI-driven toolset for IPF and aging research associates lung fibrosis with accelerated aging. Aging. 17(8). 1999–2014. 2 indexed citations

Xu, Zefeng, Ping Wang, Jie Cao, et al.. (2025). Biomarker Analysis Reveals Antifibrotic and Anti-inflammatory Signatures in Idiopathic Pulmonary Fibrosis Patients Treated With INS018_055, an AI-discovered TNIK Inhibitor, in a 12-week Phase 2a Study. American Journal of Respiratory and Critical Care Medicine. 211(Supplement_1). A5354–A5354. 1 indexed citations

Pun, Frank W., Bonnie Hei Man Liu, Xi Long, et al.. (2022). Identification of Therapeutic Targets for Amyotrophic Lateral Sclerosis Using PandaOmics – An AI-Enabled Biological Target Discovery Platform. Frontiers in Aging Neuroscience. 14. 59 indexed citations

Kuznetsov, Maksim, Alexander Zhebrak, Artur Kadurin, et al.. (2020). Molecular Generation for Desired Transcriptome Changes With Adversarial Autoencoders. Frontiers in Pharmacology. 11. 269–269. 28 indexed citations

10.

Mamoshina, Polina, Kirill Kochetov, Franco Cortese, et al.. (2019). Blood Biochemistry Analysis to Detect Smoking Status and Quantify Accelerated Aging in Smokers. Scientific Reports. 9(1). 142–142. 66 indexed citations

11.

Jasko, Maxim V., Alexander Aliper, Anton Buzdin, et al.. (2018). Hair growth stimulation by a Natural Remedy: Animal Studies. 3(1). 37–44. 3 indexed citations

12.

Vanhaelen, Quentin, Alexander Aliper, & Alex Zhavoronkov. (2017). A comparative review of computational methods for pathway perturbation analysis: dynamical and topological perspectives. Molecular BioSystems. 13(9). 1692–1704. 5 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

14.

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

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.

Putin, Evgeny, Polina Mamoshina, Alexander Aliper, et al.. (2016). Deep biomarkers of human aging: Application of deep neural networks to biomarker development. Aging. 8(5). 1021–1033. 231 indexed citations

17.

Alexandrova, Elena, Giovanni Nassa, Giacomo Corleone, et al.. (2016). Large-scale profiling of signalling pathways reveals an asthma specific signature in bronchial smooth muscle cells. Oncotarget. 7(18). 25150–25161. 20 indexed citations

18.

Jellen, Leslie C., Alexander Aliper, Anton Buzdin, & Alex Zhavoronkov. (2015). Screening and personalizing nootropic drugs and cognitive modulator regimens in silico. Frontiers in Systems Neuroscience. 9. 4–4. 6 indexed citations

19.

Zhu, Qingsong, Evgeny Izumchenko, Alexander Aliper, et al.. (2015). Pathway activation strength is a novel independent prognostic biomarker for cetuximab sensitivity in colorectal cancer patients. Human Genome Variation. 2(1). 15009–15009. 40 indexed citations

20.

Roberts, Tiffany K., et al.. (2014). Molecular aspects of development and regulation of endometriosis. Reproductive Biology and Endocrinology. 12(1). 50–50. 88 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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