Alexander А. Makarov
- Molecular Biology top 5%
- Physiology top 10%
- Materials Chemistry
- Genetics top 10%
- Cell Biology top 10%
- Co-authors
- Vladimir A. MitkevichIrina Yu. PetrushankoC. Nick PaceGennady I. YakovlevKevin L. ShawDaniel LafitteGerald R. GrimsleyClaudette Briand
- Topics
- Alzheimer's disease research and treatments (19 papers)RNA and protein synthesis mechanisms (14 papers)Protein Structure and Dynamics (13 papers)
- Cited by
- AgingMolecular BiologyPhysiology
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- RussiaFranceUnited States
In The Last Decade
Alexander А. Makarov
101 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 123
- Molecular Biology 1.6k
- Physiology 315
- Materials Chemistry 294
- Genetics 213
- Cell Biology 143
Countries citing papers authored by Alexander А. Makarov
This map shows the geographic impact of Alexander А. Makarov'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 А. Makarov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander А. Makarov more than expected).
Fields of papers citing papers by Alexander А. Makarov
This network shows the impact of papers produced by Alexander А. Makarov. 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 А. Makarov. The network helps show where Alexander А. Makarov may publish in the future.
Co-authorship network of co-authors of Alexander А. Makarov
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander А. Makarov. A scholar is included among the top collaborators of Alexander А. Makarov 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 А. Makarov. Alexander А. Makarov 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 | 9 | |
| 3 | 0 | |
| 4 | 92 | |
| 5 | 9 | |
| 6 | 13 | |
| 7 | 12 | |
| 8 | 8 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 19 | |
| 12 | 9 | |
| 13 | 2 | |
| 14 | 10 | |
| 15 | 23 | |
| 16 | 108 | |
| 17 | 12 | |
| 18 | 6 | |
| 19 | 18 | |
| 20 | 3 |
About Alexander А. Makarov
Alexander А. Makarov is a scholar working on Aging, Molecular Biology and Physiology, having authored 107 papers that have together received 2.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (19 papers), RNA and protein synthesis mechanisms (14 papers) and Protein Structure and Dynamics (13 papers). The work is most often cited by research in Aging (64 citations), Molecular Biology (1.6k citations) and Physiology (315 citations). Alexander А. Makarov has collaborated with scholars based in Russia, France and United States. Frequent co-authors include Vladimir A. Mitkevich, Irina Yu. Petrushanko, C. Nick Pace, Gennady I. Yakovlev, Kevin L. Shaw, Daniel Lafitte, Gerald R. Grimsley, Claudette Briand, Philipp O. Tsvetkov and Vladimir M. Lobachov. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological 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.