Deanna Arsala

432 total citations
12 papers, 58 citations indexed

About

Deanna Arsala is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Deanna Arsala has authored 12 papers receiving a total of 58 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Genetics and 4 papers in Plant Science. Recurrent topics in Deanna Arsala's work include Chromosomal and Genetic Variations (4 papers), Genomics and Chromatin Dynamics (3 papers) and Genomics and Phylogenetic Studies (3 papers). Deanna Arsala is often cited by papers focused on Chromosomal and Genetic Variations (4 papers), Genomics and Chromatin Dynamics (3 papers) and Genomics and Phylogenetic Studies (3 papers). Deanna Arsala collaborates with scholars based in United States, China and Austria. Deanna Arsala's co-authors include Jeremy Lynch, Jianhai Chen, Soojin V. Yi, Xin Wu, Manyuan Long, Shengqian Xia, J. J. Emerson, Honghu Quan, Dong Wang and Qingrong Li and has published in prestigious journals such as Nature Genetics, Genome Research and Science Advances.

In The Last Decade

Deanna Arsala

11 papers receiving 57 citations

Peers

Deanna Arsala

MB

GENET

IS

PS

EEBS

Kazuaki Yamaguchi Japan

Grace C. McKenzie‐Smith United States

Jonathan Kidner Germany

Seoae Cho South Korea

Natalia Petit Spain

Agustina Pascual Argentina

Leo Wu United States

Alexandra D. Buffry United Kingdom

Alberto Lopez‐Ezquerra Germany

Maria K. Traficante United States

Kazuaki Yamaguchi Japan

Deanna Arsala

38 ×1.3

MB

24 ×1.0

GENET

5 ×0.4

IS

22 ×2.2

PS

5 ×0.6

EEBS

Citations per year, relative to Deanna Arsala Deanna Arsala (= 1×) peers Kazuaki Yamaguchi

Countries citing papers authored by Deanna Arsala

Since Specialization

Citations

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

Fields of papers citing papers by Deanna Arsala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deanna Arsala

This figure shows the co-authorship network connecting the top 25 collaborators of Deanna Arsala. A scholar is included among the top collaborators of Deanna Arsala 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 Deanna Arsala. Deanna Arsala 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.

Xia, Shengqian, Jianhai Chen, Deanna Arsala, J. J. Emerson, & Manyuan Long. (2025). Functional innovation through new genes as a general evolutionary process. Nature Genetics. 57(2). 295–309. 13 indexed citations

2.

Chen, Jianhai, Patrick Landback, Deanna Arsala, et al.. (2025). Evolutionarily new genes in humans with disease phenotypes reveal functional enrichment patterns shaped by adaptive innovation and sexual selection. Genome Research. 35(3). 379–392.

3.

Dong, Chuan, Shengqian Xia, Li Zhang, et al.. (2025). Subcellular Enrichment Patterns of New Genes in Drosophila Evolution. Molecular Biology and Evolution. 42(2). 1 indexed citations

4.

Chen, Jianhai, Qingrong Li, Shengqian Xia, et al.. (2024). The Rapid Evolution of De Novo Proteins in Structure and Complex. Genome Biology and Evolution. 16(6). 5 indexed citations

5.

Arsala, Deanna, Shengqian Xia, Nicolas Svetec, et al.. (2024). The three-dimensional genome drives the evolution of asymmetric gene duplicates via enhancer capture-divergence. Science Advances. 10(51). eadn6625–eadn6625. 2 indexed citations

6.

Zhang, Li, Jonathan J. Park, Matthew B. Dong, et al.. (2023). Human Gene Age Dating Reveals an Early and Rapid Evolutionary Construction of the Adaptive Immune System. Genome Biology and Evolution. 15(5). 1 indexed citations

7.

Arsala, Deanna, Xin Wu, Soojin V. Yi, & Jeremy Lynch. (2022). Dnmt1a is essential for gene body methylation and the regulation of the zygotic genome in a wasp. PLoS Genetics. 18(5). e1010181–e1010181. 16 indexed citations

8.

Arsala, Deanna, et al.. (2021). Genetic, morphometric, and molecular analyses of interspecies differences in head shape and hybrid developmental defects in the wasp genus Nasonia. G3 Genes Genomes Genetics. 11(12). 3 indexed citations

9.

Krinsky, Benjamin H., et al.. (2021). Rapid Cis–Trans Coevolution Driven by a Novel Gene Retroposed from a Eukaryotic Conserved CCR4–NOT Component in Drosophila. Genes. 13(1). 57–57. 1 indexed citations

10.

Quan, Honghu, Deanna Arsala, & Jeremy Lynch. (2019). Transcriptomic and functional analysis of the oosome, a unique form of germ plasm in the wasp Nasonia vitripennis. BMC Biology. 17(1). 78–78. 8 indexed citations

11.

Quan, Honghu, Deanna Arsala, & Jeremy Lynch. (2019). FastQC results of the raw sequences from first analysis.. Figshare. 1 indexed citations

12.

Arsala, Deanna & Jeremy Lynch. (2017). Ploidy has little effect on timing early embryonic events in the haplo‐diploid wasp Nasonia. genesis. 55(5). 7 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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