Alena Savonenko

6.1k total citations
74 papers, 4.4k citations indexed

About

Alena Savonenko is a scholar working on Physiology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Alena Savonenko has authored 74 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Physiology, 21 papers in Cellular and Molecular Neuroscience and 19 papers in Molecular Biology. Recurrent topics in Alena Savonenko's work include Alzheimer's disease research and treatments (30 papers), Neuroscience and Neuropharmacology Research (10 papers) and Memory and Neural Mechanisms (10 papers). Alena Savonenko is often cited by papers focused on Alzheimer's disease research and treatments (30 papers), Neuroscience and Neuropharmacology Research (10 papers) and Memory and Neural Mechanisms (10 papers). Alena Savonenko collaborates with scholars based in United States, Poland and Russia. Alena Savonenko's co-authors include Alicja L. Markowska, David Borchelt, Tatiana Melnikova, Donald L. Price, Guilian Xu, Victoria Gonzales, Philip C. Wong, Fiona M. Laird, Joanna L. Jankowsky and Hilda H. Slunt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Molecular Cell.

In The Last Decade

Alena Savonenko

73 papers receiving 4.3k citations

Peers

Alena Savonenko
Comparison fields: 5 of 124
  • Physiology 1.9k
  • Cellular and Molecular Neuroscience 1.4k
  • Molecular Biology 1.3k
  • Pharmacology 842
  • Neurology 679
Replace Michael P. McDonald with:
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Michael P. McDonald United States View profile →
Citations per field, relative to Alena Savonenko
Alena Savonenko · 1×
Citations per year, relative to Alena Savonenko
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Countries citing papers authored by Alena Savonenko

Since Specialization
Citations

This map shows the geographic impact of Alena Savonenko'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 Alena Savonenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alena Savonenko more than expected).

Fields of papers citing papers by Alena Savonenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alena Savonenko. 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 Alena Savonenko. The network helps show where Alena Savonenko may publish in the future.

Co-authorship network of co-authors of Alena Savonenko

This figure shows the co-authorship network connecting the top 25 collaborators of Alena Savonenko. A scholar is included among the top collaborators of Alena Savonenko 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 Alena Savonenko. Alena Savonenko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 2
3 20
4 21
5 35
6 236
7 5
8 79
9 26
10 165
11 139
12 18
13 431
14 67
15 38
16 1
17 5
18 8
19 2
20
Analysis of individual variability in complex task acquisition as a method to differentiate stages of learning
1

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.

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