Yevgeniy Raynes

662 total citations
12 papers, 461 citations indexed

About

Yevgeniy Raynes is a scholar working on Genetics, Molecular Biology and Sociology and Political Science. According to data from OpenAlex, Yevgeniy Raynes has authored 12 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 8 papers in Molecular Biology and 5 papers in Sociology and Political Science. Recurrent topics in Yevgeniy Raynes's work include Evolution and Genetic Dynamics (10 papers), CRISPR and Genetic Engineering (5 papers) and Evolutionary Game Theory and Cooperation (5 papers). Yevgeniy Raynes is often cited by papers focused on Evolution and Genetic Dynamics (10 papers), CRISPR and Genetic Engineering (5 papers) and Evolutionary Game Theory and Cooperation (5 papers). Yevgeniy Raynes collaborates with scholars based in United States. Yevgeniy Raynes's co-authors include Paul Sniegowski, David Fitch, Karin Kiontke, Nicholas Gavin, Fabio Piano, Matthew R. Gazzara, Daniel Weinreich, C. Scott Wylie and David M. Rand and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Current Biology and The American Naturalist.

In The Last Decade

Yevgeniy Raynes

11 papers receiving 457 citations

Peers

Yevgeniy Raynes

GENET

MB

AGING

PS

ECOLO

Jonathan Crissman United States

Peter Dolan United States

Benjamin Schlager Germany

Luke M. Noble United States

Sudarshan Chari United States

Nathaniel P. Sharp Canada

David Monnin United Kingdom

Alyssa Bost United States

David Castellano Denmark

Carlos Eduardo Winter Brazil

Jonathan Crissman United States

Yevgeniy Raynes

280 ×1.1

GENET

156 ×0.8

MB

224 ×1.2

AGING

76 ×0.8

PS

56 ×0.9

ECOLO

Citations per year, relative to Yevgeniy Raynes Yevgeniy Raynes (= 1×) peers Jonathan Crissman

Countries citing papers authored by Yevgeniy Raynes

Since Specialization

Citations

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

Fields of papers citing papers by Yevgeniy Raynes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yevgeniy Raynes

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

All Works

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12 of 12 papers shown

1.

Raynes, Yevgeniy, et al.. (2025). Beyond the (Geometric) Mean: Stochastic Models Undermine Deterministic Predictions of Bet Hedger Evolution. The American Naturalist. 205(6). 572–589.

2.

Raynes, Yevgeniy, et al.. (2024). Sex, tissue, and mitochondrial interactions modify the transcriptional response to rapamycin in Drosophila. BMC Genomics. 25(1). 766–766. 1 indexed citations

3.

Raynes, Yevgeniy, Paul Sniegowski, & Daniel Weinreich. (2019). Migration promotes mutator alleles in subdivided populations. Evolution. 73(3). 600–608. 4 indexed citations

4.

Raynes, Yevgeniy & Daniel Weinreich. (2019). Selection on mutators is not frequency-dependent. eLife. 8. 4 indexed citations

5.

Raynes, Yevgeniy, C. Scott Wylie, Paul Sniegowski, & Daniel Weinreich. (2018). Sign of selection on mutation rate modifiers depends on population size. Proceedings of the National Academy of Sciences. 115(13). 3422–3427. 26 indexed citations

6.

Raynes, Yevgeniy & Daniel Weinreich. (2018). Genomic clustering of fitness‐affecting mutations favors the evolution of chromosomal instability. Evolutionary Applications. 12(2). 301–313. 3 indexed citations

7.

Raynes, Yevgeniy & Paul Sniegowski. (2014). Experimental evolution and the dynamics of genomic mutation rate modifiers. Heredity. 113(5). 375–380. 42 indexed citations

8.

Sniegowski, Paul & Yevgeniy Raynes. (2013). Mutation Rates: How Low Can You Go?. Current Biology. 23(4). R147–R149. 13 indexed citations

9.

Raynes, Yevgeniy, et al.. (2013). The effect of population bottlenecks on mutation rate evolution in asexual populations. Journal of Evolutionary Biology. 27(1). 161–169. 16 indexed citations

10.

Raynes, Yevgeniy, Matthew R. Gazzara, & Paul Sniegowski. (2012). CONTRASTING DYNAMICS OF A MUTATOR ALLELE IN ASEXUAL POPULATIONS OF DIFFERING SIZE. Evolution. 66(7). 2329–2334. 15 indexed citations

11.

Raynes, Yevgeniy, Matthew R. Gazzara, & Paul Sniegowski. (2011). Mutator dynamics in sexual and asexual experimental populations of yeast. BMC Evolutionary Biology. 11(1). 158–158. 28 indexed citations

12.

Kiontke, Karin, et al.. (2004). Caenorhabditis phylogeny predicts convergence of hermaphroditism and extensive intron loss. Proceedings of the National Academy of Sciences. 101(24). 9003–9008. 309 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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