Alex Aliper
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
Papers in
-
- Cancer therapeutics and mechanisms 4
- Epigenetics and DNA Methylation 3
- Protein Structure and Dynamics 3
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- Computational Drug Discovery Methods 18
- Co-authors
- Alex Zhavoronkov (40 shared papers)Artur Kadurin (1 shared paper)Kuzma Khrabrov (1 shared paper)Sergey Nikolenko (1 shared paper)Polina Mamoshina (4 shared papers)Feng Ren (21 shared papers)Quentin Vanhaelen (2 shared papers)Fedor Galkin (2 shared papers)
- Journals
- Aging (4 papers)Bioorganic & Medicinal Chemistry (4 papers)Journal of Chemical Information and Modeling (4 papers)Journal of Medicinal Chemistry (3 papers)European Journal of Medicinal Chemistry (3 papers)
- Partner nations
- United StatesHong KongChina
In The Last Decade
Alex Aliper
41 papers receiving 1.5k citations
Alex Aliper's Hit Papers
Peers
Comparison fields: 5 of 147
- Aging 130
- Computational Theory and Mathematics 608
- Health Informatics 45
- Biophysics 71
- Geriatrics and Gerontology 38
Countries citing papers authored by Alex Aliper
This map shows the geographic impact of Alex 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 Alex Aliper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Aliper more than expected).
Fields of papers citing papers by Alex Aliper
This network shows the impact of papers produced by Alex 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 Alex Aliper. The network helps show where Alex Aliper may publish in the future.
Co-authors
The 25 scholars most cited alongside Alex 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | druGAN: An Advanced Generative Adversarial Autoencoder Model for de Novo Generation of New Molecules with Desired Molecular Properties in Silico Hit paper breakdown → | 2017 | 404 |
| 2 | 2018 | 156 | |
| 3 | 2020 | 148 | |
| 4 | 2018 | 144 | |
| 5 | 2020 | 129 | |
| 6 | Chemistry42: An AI-Driven Platform for Molecular Design and Optimization Hit paper breakdown → | 2023 | 124 |
| 7 | PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discovery Hit paper breakdown → | 2024 | 77 |
| 8 | 2023 | 54 | |
| 9 | 2023 | 46 | |
| 10 | 2023 | 46 | |
| 11 | 2024 | 26 | |
| 12 | 2023 | 26 | |
| 13 | 2023 | 26 | |
| 14 | 2023 | 19 | |
| 15 | 2023 | 19 | |
| 16 | 2023 | 19 | |
| 17 | 2023 | 19 | |
| 18 | 2022 | 15 | |
| 19 | 2024 | 13 | |
| 20 | 2023 | 13 |
About Alex Aliper
Alex Aliper is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Artificial Intelligence and Oncology, having authored 44 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (18 papers), Machine Learning in Materials Science (8 papers), Cancer therapeutics and mechanisms (4 papers), Quantum Computing Algorithms and Architecture (3 papers), Epigenetics and DNA Methylation (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Protein Structure and Dynamics (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Aging (130 citations), Computational Theory and Mathematics (608 citations), Health Informatics (45 citations), Biophysics (71 citations) and Geriatrics and Gerontology (38 citations). Alex Aliper has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Alex Zhavoronkov, Artur Kadurin, Kuzma Khrabrov, Sergey Nikolenko, Polina Mamoshina, Feng Ren, Quentin Vanhaelen, Fedor Galkin, Vadim N. Gladyshev and Yan A. Ivanenkov. Their work appears in journals such as Aging, Bioorganic & Medicinal Chemistry, Journal of Chemical Information and Modeling, Journal of Medicinal Chemistry and European Journal of Medicinal Chemistry.
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.