Sasha Tkachev

1.1k total citations
2 papers, 134 citations indexed

About

Sasha Tkachev is a scholar working on Molecular Biology, Endocrine and Autonomic Systems and Aging. According to data from OpenAlex, Sasha Tkachev has authored 2 papers receiving a total of 134 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Endocrine and Autonomic Systems and 1 paper in Aging. Recurrent topics in Sasha Tkachev's work include Advanced Biosensing Techniques and Applications (1 paper), Cell Image Analysis Techniques (1 paper) and Single-cell and spatial transcriptomics (1 paper). Sasha Tkachev is often cited by papers focused on Advanced Biosensing Techniques and Applications (1 paper), Cell Image Analysis Techniques (1 paper) and Single-cell and spatial transcriptomics (1 paper). Sasha Tkachev collaborates with scholars based in United States, Russia and Germany. Sasha Tkachev's co-authors include Jérôme S. Menet, Weifei Luo, Michael Rosbash, Katharine C. Abruzzi, Joseph Rodriguez, Andrei V. Chernyshev, Ivan V. Gregoretti, Denis Schapiro, Tyler Levy and Florian Georgescauld and has published in prestigious journals such as Genes & Development and GigaScience.

In The Last Decade

Sasha Tkachev

2 papers receiving 134 citations

Peers

Sasha Tkachev
Ying H. Li United States
Sibel Cal‐Kayitmazbatir United States
Jacqueline Growe United States
Stephen F. Pastore Canada
Pancheng Xie United States
Molly B. Reilly United States
Karolis Koncevičius Lithuania
Ashwin Seetharaman Canada
Alexis Weinreb United States
Andrew D. Goldsmith United States
Ying H. Li United States
Sasha Tkachev
Citations per year, relative to Sasha Tkachev Sasha Tkachev (= 1×) peers Ying H. Li

Countries citing papers authored by Sasha Tkachev

Since Specialization
Citations

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

Fields of papers citing papers by Sasha Tkachev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sasha Tkachev

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

All Works

2 of 2 papers shown
1.
Tkachev, Sasha, Florian Georgescauld, Tyler Levy, et al.. (2025). Lifting the curse from high-dimensional data: automated projection pursuit clustering for a variety of biological data modalities. GigaScience. 14. 2 indexed citations
2.
Abruzzi, Katharine C., Joseph Rodriguez, Jérôme S. Menet, et al.. (2011). Drosophila CLOCK target gene characterization: implications for circadian tissue-specific gene expression. Genes & Development. 25(22). 2374–2386. 132 indexed citations

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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2026