Aviva M. Tolkovsky
- Molecular Biology top 1%
- Epidemiology top 1%
- Cellular and Molecular Neuroscience top 1%
- Cell Biology top 1%
- Physiology top 2%
- Co-authors
- Luzheng XueGuy C. BrownMichael FrickerGraham C. FletcherKanwar VirdeeAlexander LevitzkiVilmantė BorutaitėMichael P. Coleman
- Topics
- Cell death mechanisms and regulation (26 papers)Autophagy in Disease and Therapy (17 papers)Neuroscience and Neuropharmacology Research (14 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- United KingdomUnited StatesSouth Sudan
In The Last Decade
Aviva M. Tolkovsky
89 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 4.3k
- Epidemiology 1.8k
- Cellular and Molecular Neuroscience 1.7k
- Cell Biology 1.2k
- Physiology 1.1k
Countries citing papers authored by Aviva M. Tolkovsky
This map shows the geographic impact of Aviva M. Tolkovsky'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 Aviva M. Tolkovsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aviva M. Tolkovsky more than expected).
Fields of papers citing papers by Aviva M. Tolkovsky
This network shows the impact of papers produced by Aviva M. Tolkovsky. 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 Aviva M. Tolkovsky. The network helps show where Aviva M. Tolkovsky may publish in the future.
Co-authorship network of co-authors of Aviva M. Tolkovsky
This figure shows the co-authorship network connecting the top 25 collaborators of Aviva M. Tolkovsky. A scholar is included among the top collaborators of Aviva M. Tolkovsky 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 Aviva M. Tolkovsky. Aviva M. Tolkovsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 131 | |
| 3 | 36 | |
| 4 | 121 | |
| 5 | 1 | |
| 6 | 20 | |
| 7 | 15 | |
| 8 | 20 | |
| 9 | 321 | |
| 10 | 101 | |
| 11 | 196 | |
| 12 | 134 | |
| 13 | 171 | |
| 14 | 44 | |
| 15 | 363 | |
| 16 | 93 | |
| 17 | 62 | |
| 18 | 8 | |
| 19 | 15 | |
| 20 | 171 |
About Aviva M. Tolkovsky
Aviva M. Tolkovsky is a scholar working on Physiology, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 89 papers that have together received 7.5k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (26 papers), Autophagy in Disease and Therapy (17 papers) and Neuroscience and Neuropharmacology Research (14 papers). The work is most often cited by research in Neurology (1.0k citations), Developmental Neuroscience (397 citations) and Cellular and Molecular Neuroscience (1.7k citations). Aviva M. Tolkovsky has collaborated with scholars based in United Kingdom, United States and South Sudan. Frequent co-authors include Luzheng Xue, Guy C. Brown, Michael Fricker, Graham C. Fletcher, Kanwar Virdee, Alexander Levitzki, Vilmantė Borutaitė, Michael P. Coleman, Edward T. W. Bampton and Christopher N. Anderson. 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.