Irina Petrushina
- Physiology top 2%
- Neurology top 2%
- Computational Theory and Mathematics top 1%
- Molecular Biology
- Pharmacology top 5%
- Co-authors
- Anahit GhochikyanMichael G. AgadjanyanDavid H. CribbsNina MovsesyanHayk DavtyanMikayel MkrtichyanVitaly VasilevkoArmine Hovakimyan
- Topics
- Alzheimer's disease research and treatments (36 papers)Computational Drug Discovery Methods (19 papers)Neuroinflammation and Neurodegeneration Mechanisms (17 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- United StatesAustraliaRussia
In The Last Decade
Irina Petrushina
50 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 87
- Physiology 977
- Neurology 507
- Computational Theory and Mathematics 412
- Molecular Biology 397
- Pharmacology 232
Countries citing papers authored by Irina Petrushina
This map shows the geographic impact of Irina Petrushina'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 Irina Petrushina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irina Petrushina more than expected).
Fields of papers citing papers by Irina Petrushina
This network shows the impact of papers produced by Irina Petrushina. 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 Irina Petrushina. The network helps show where Irina Petrushina may publish in the future.
Co-authorship network of co-authors of Irina Petrushina
This figure shows the co-authorship network connecting the top 25 collaborators of Irina Petrushina. A scholar is included among the top collaborators of Irina Petrushina 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 Irina Petrushina. Irina Petrushina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 4 | |
| 3 | 7 | |
| 4 | 8 | |
| 5 | 3 | |
| 6 | 9 | |
| 7 | 19 | |
| 8 | 36 | |
| 9 | 16 | |
| 10 | 11 | |
| 11 | 14 | |
| 12 | 33 | |
| 13 | 92 | |
| 14 | 83 | |
| 15 | 22 | |
| 16 | 164 | |
| 17 | 14 | |
| 18 | 50 | |
| 19 | 15 | |
| 20 | 5 |
About Irina Petrushina
Irina Petrushina is a scholar working on Neurology, Physiology and Computational Theory and Mathematics, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (36 papers), Computational Drug Discovery Methods (19 papers) and Neuroinflammation and Neurodegeneration Mechanisms (17 papers). The work is most often cited by research in Neurology (507 citations), Biological Psychiatry (129 citations) and Physiology (977 citations). Irina Petrushina has collaborated with scholars based in United States, Australia and Russia. Frequent co-authors include Anahit Ghochikyan, Michael G. Agadjanyan, David H. Cribbs, Nina Movsesyan, Hayk Davtyan, Mikayel Mkrtichyan, Vitaly Vasilevko, Armine Hovakimyan, Arpine Davtyan and Tommy Saing. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.
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.