Alex Aliper
- Molecular Biology top 10%
- Computational Theory and Mathematics top 1%
- Materials Chemistry top 10%
- Aging top 2%
- Artificial Intelligence top 10%
- Co-authors
- Alex ZhavoronkovSergey NikolenkoKuzma KhrabrovArtur KadurinPolina MamoshinaQuentin VanhaelenFeng RenEvgeny Putin
- Topics
- Computational Drug Discovery Methods (18 papers)Machine Learning in Materials Science (8 papers)Cancer therapeutics and mechanisms (4 papers)
- Partner nations
- United StatesHong KongUnited Kingdom
In The Last Decade
Alex Aliper
39 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Molecular Biology 724
- Computational Theory and Mathematics 600
- Materials Chemistry 391
- Aging 130
- Artificial Intelligence 129
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-authorship network of co-authors of Alex Aliper
This figure shows the co-authorship network connecting the top 25 collaborators of Alex Aliper. A scholar is included among the top collaborators of Alex 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 Alex Aliper. Alex Aliper is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 22 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discoverybreakdown → | 65 |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 9 | |
| 10 | 4 | |
| 11 | 15 | |
| 12 | Chemistry42: An AI-Driven Platform for Molecular Design and Optimizationbreakdown → | 109 |
| 13 | 19 | |
| 14 | 11 | |
| 15 | 19 | |
| 16 | 46 | |
| 17 | 39 | |
| 18 | 135 | |
| 19 | 137 | |
| 20 | 11 |
About Alex Aliper
Alex Aliper is a scholar working on Aging, Computational Theory and Mathematics and Biophysics, having authored 41 papers that have together received 1.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (18 papers), Machine Learning in Materials Science (8 papers) and Cancer therapeutics and mechanisms (4 papers). The work is most often cited by research in Aging (130 citations), Computational Theory and Mathematics (600 citations) and Health Informatics (48 citations). Alex Aliper has collaborated with scholars based in United States, Hong Kong and United Kingdom. Frequent co-authors include Alex Zhavoronkov, Sergey Nikolenko, Kuzma Khrabrov, Artur Kadurin, Polina Mamoshina, Quentin Vanhaelen, Feng Ren, Evgeny Putin, Vadim N. Gladyshev and Fedor Galkin. Their work appears in journals such as Nucleic Acids Research, Nature Communications and 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.