Natallia Makarava
- Molecular Biology top 5%
- Neurology top 0.5%
- Nutrition and Dietetics top 1%
- Physiology top 5%
- Materials Chemistry
- Co-authors
- Ilia V. BaskakovRegina SavtchenkoOlga V. BocharovaValeriy G. OstapchenkoRobert G. RohwerIrina AlexeevaGábor G. KovácsLeonid Breydo
- Topics
- Prion Diseases and Protein Misfolding (64 papers)Neurological diseases and metabolism (31 papers)Alzheimer's disease research and treatments (17 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesAustriaGermany
In The Last Decade
Natallia Makarava
68 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 2.3k
- Neurology 1.2k
- Nutrition and Dietetics 729
- Physiology 658
- Materials Chemistry 154
Countries citing papers authored by Natallia Makarava
This map shows the geographic impact of Natallia Makarava'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 Natallia Makarava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natallia Makarava more than expected).
Fields of papers citing papers by Natallia Makarava
This network shows the impact of papers produced by Natallia Makarava. 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 Natallia Makarava. The network helps show where Natallia Makarava may publish in the future.
Co-authorship network of co-authors of Natallia Makarava
This figure shows the co-authorship network connecting the top 25 collaborators of Natallia Makarava. A scholar is included among the top collaborators of Natallia Makarava 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 Natallia Makarava. Natallia Makarava is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 1 | |
| 3 | 24 | |
| 4 | 41 | |
| 5 | 33 | |
| 6 | 42 | |
| 7 | 32 | |
| 8 | 24 | |
| 9 | 61 | |
| 10 | 23 | |
| 11 | 61 | |
| 12 | 45 | |
| 13 | 82 | |
| 14 | 89 | |
| 15 | 32 | |
| 16 | 26 | |
| 17 | 20 | |
| 18 | 56 | |
| 19 | 22 | |
| 20 | 66 |
About Natallia Makarava
Natallia Makarava is a scholar working on Neurology, Nutrition and Dietetics and Molecular Biology, having authored 68 papers that have together received 2.5k indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (64 papers), Neurological diseases and metabolism (31 papers) and Alzheimer's disease research and treatments (17 papers). The work is most often cited by research in Neurology (1.2k citations), Nutrition and Dietetics (729 citations) and Molecular Biology (2.3k citations). Natallia Makarava has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include Ilia V. Baskakov, Regina Savtchenko, Olga V. Bocharova, Valeriy G. Ostapchenko, Robert G. Rohwer, Irina Alexeeva, Gábor G. Kovács, Leonid Breydo, Elizaveta Katorcha and Herbert Budka. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.