Alisa Yurovsky

1.8k total citations
13 papers, 293 citations indexed

About

Alisa Yurovsky is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Alisa Yurovsky has authored 13 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Epidemiology and 3 papers in Genetics. Recurrent topics in Alisa Yurovsky's work include RNA and protein synthesis mechanisms (7 papers), Genomics and Phylogenetic Studies (7 papers) and RNA modifications and cancer (6 papers). Alisa Yurovsky is often cited by papers focused on RNA and protein synthesis mechanisms (7 papers), Genomics and Phylogenetic Studies (7 papers) and RNA modifications and cancer (6 papers). Alisa Yurovsky collaborates with scholars based in United States, Switzerland and Russia. Alisa Yurovsky's co-authors include Bruce Futcher, Steve Skiena, Justin Gardin, Ying Cai, Bernard M. E. Moret, Eckard Wimmer, Charles B. Stauft, Steffen Mueller, Yutong Song and Charles B. Ward and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and PLoS ONE.

In The Last Decade

Alisa Yurovsky

12 papers receiving 293 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alisa Yurovsky United States 6 238 36 35 29 28 13 293
John C. Athey United States 6 256 1.1× 53 1.5× 32 0.9× 14 0.5× 43 1.5× 6 328
Sabine Stampfl Austria 5 274 1.2× 31 0.9× 42 1.2× 20 0.7× 27 1.0× 5 325
Marie-Louise Hammarskjöld United States 8 225 0.9× 40 1.1× 77 2.2× 29 1.0× 22 0.8× 9 353
Zane A. Jaafar United States 5 202 0.8× 15 0.4× 48 1.4× 24 0.8× 45 1.6× 6 294
Chiu-Ho T. Webb United States 7 294 1.2× 31 0.9× 19 0.5× 40 1.4× 45 1.6× 9 339
Thorsten Stellberger Germany 5 158 0.7× 50 1.4× 23 0.7× 34 1.2× 37 1.3× 14 230
Jiayi Sun United States 7 120 0.5× 15 0.4× 28 0.8× 73 2.5× 38 1.4× 20 255
René Toribio Spain 10 176 0.7× 14 0.4× 39 1.1× 24 0.8× 126 4.5× 19 292
Inbar Cohen-Gihon Israel 10 147 0.6× 31 0.9× 30 0.9× 55 1.9× 32 1.1× 29 217
Yaoling Shu United States 5 86 0.4× 22 0.6× 53 1.5× 98 3.4× 15 0.5× 5 198

Countries citing papers authored by Alisa Yurovsky

Since Specialization
Citations

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

Fields of papers citing papers by Alisa Yurovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alisa Yurovsky

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

All Works

13 of 13 papers shown
2.
Previti, Mary Lou, Joshua Andrade, Raditya Utama, et al.. (2023). Gene recoding by synonymous mutations creates promiscuous intragenic transcription initiation in mycobacteria. mBio. 14(5). e0084123–e0084123. 2 indexed citations
3.
Sweeney, M. D., et al.. (2023). FaStaNMF: A Fast and Stable Non-Negative Matrix Factorization for Gene Expression. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 21(6). 1633–1644. 1 indexed citations
6.
Yurovsky, Alisa, et al.. (2018). Re-annotation of 12,495 prokaryotic 16S rRNA 3’ ends and analysis of Shine-Dalgarno and anti-Shine-Dalgarno sequences. PLoS ONE. 13(8). e0202767–e0202767. 21 indexed citations
7.
Yurovsky, Alisa, et al.. (2018). Prokaryotic coding regions have little if any specific depletion of Shine-Dalgarno motifs. PLoS ONE. 13(8). e0202768–e0202768. 4 indexed citations
8.
Yurovsky, Alisa, et al.. (2018). DeepAnnotator. 254–259. 10 indexed citations
9.
Stauft, Charles B., Yutong Song, Charles B. Ward, et al.. (2015). Large-scale recoding of an arbovirus genome to rebalance its insect versus mammalian preference. Proceedings of the National Academy of Sciences. 112(15). 4749–4754. 78 indexed citations
10.
Gardin, Justin, et al.. (2014). Measurement of average decoding rates of the 61 sense codons in vivo. eLife. 3. 146 indexed citations
11.
Waszak, Sebastian M., Helena Kilpinen, Andreas R. Gschwind, et al.. (2013). Identification and removal of low-complexity sites in allele-specific analysis of ChIP-seq data. Bioinformatics. 30(2). 165–171. 7 indexed citations
12.
Yurovsky, Alisa & Bernard M. E. Moret. (2011). FluReF, an automated flu virus reassortment finder based on phylogenetic trees. BMC Genomics. 12(Suppl 2). S3–S3. 19 indexed citations
13.
Yurovsky, Alisa & Bernard M. E. Moret. (2010). FluRF, an automated flu virus reassortment finder based on phylogenetic trees. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3. 579–584. 1 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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