Alexander Aliper
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Health Informatics top 2%
Papers in
-
- Bioinformatics and Genomic Networks 9
- Epigenetics and DNA Methylation 5
- Gene Regulatory Network Analysis 5
- Ubiquitin and proteasome pathways 4
- Histone Deacetylase Inhibitors Research 4
-
- Computational Drug Discovery Methods 12
- Co-authors
- Alex Zhavoronkov (57 shared papers)Polina Mamoshina (9 shared papers)Anton Buzdin (22 shared papers)Artem V. Artemov (6 shared papers)Alexey Moskalev (9 shared papers)Alvaro Ulloa (1 shared paper)Sergey Plis (1 shared paper)S. A. Roumiantsev (9 shared papers)
- Journals
- Aging (11 papers)Journal of Medicinal Chemistry (10 papers)Oncotarget (9 papers)Cell Cycle (3 papers)Molecular Pharmaceutics (2 papers)
- Partner nations
- United StatesRussiaUnited Kingdom
In The Last Decade
Alexander Aliper
57 papers receiving 3.1k citations
Alexander Aliper's Hit Papers
Peers
Comparison fields: 5 of 172
- Aging 290
- Health Informatics 76
- Computational Theory and Mathematics 789
- Geriatrics and Gerontology 71
- Molecular Biology 1.4k
Countries citing papers authored by Alexander Aliper
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
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-authors
The 25 scholars most cited alongside Alexander Aliper, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep Learning Applications for Predicting Pharmacological Properties of Drugs and Drug Repurposing Using Transcriptomic Data Hit paper breakdown → | 2016 | 374 |
| 2 | 2017 | 275 | |
| 3 | 2016 | 236 | |
| 4 | 2016 | 220 | |
| 5 | 2018 | 184 | |
| 6 | 2014 | 133 | |
| 7 | 2018 | 130 | |
| 8 | 2015 | 127 | |
| 9 | 2016 | 100 | |
| 10 | 2014 | 94 | |
| 11 | 2016 | 94 | |
| 12 | 2014 | 88 | |
| 13 | 2017 | 77 | |
| 14 | 2019 | 69 | |
| 15 | 2013 | 67 | |
| 16 | 2022 | 62 | |
| 17 | 2014 | 61 | |
| 18 | 2014 | 57 | |
| 19 | 2015 | 53 | |
| 20 | 2022 | 51 |
About Alexander Aliper
Alexander Aliper is a scholar working on Molecular Biology, Computational Theory and Mathematics, Physiology, Pulmonary and Respiratory Medicine and Aging, having authored 62 papers that have together received 3.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Bioinformatics and Genomic Networks (9 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Epigenetics and DNA Methylation (5 papers), Gene Regulatory Network Analysis (5 papers), Ubiquitin and proteasome pathways (4 papers), Cell Image Analysis Techniques (4 papers) and Histone Deacetylase Inhibitors Research (4 papers). The work is most often cited by research in Aging (290 citations), Health Informatics (76 citations), Computational Theory and Mathematics (789 citations), Geriatrics and Gerontology (71 citations) and Molecular Biology (1.4k citations). Alexander Aliper has collaborated with scholars based in United States, Russia and United Kingdom. Frequent 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. Their work appears in journals such as Aging, Journal of Medicinal Chemistry, Oncotarget, Cell Cycle and Molecular Pharmaceutics.
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.