Mia T Levine

1.3k total citations
27 papers, 853 citations indexed

About

Mia T Levine is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Mia T Levine has authored 27 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 14 papers in Plant Science and 13 papers in Genetics. Recurrent topics in Mia T Levine's work include Chromosomal and Genetic Variations (14 papers), CRISPR and Genetic Engineering (7 papers) and Genetic diversity and population structure (7 papers). Mia T Levine is often cited by papers focused on Chromosomal and Genetic Variations (14 papers), CRISPR and Genetic Engineering (7 papers) and Genetic diversity and population structure (7 papers). Mia T Levine collaborates with scholars based in United States, France and Austria. Mia T Levine's co-authors include David J Begun, Melissa Eckert, Corbin D. Jones, Andrew D. Kern, Heather A. Lindfors, Thomas L. Turner, Ken N. Paige, Harmit S. Malik, Son C. Nguyen and Ilka C. Feller and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Mia T Levine

25 papers receiving 826 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mia T Levine United States	15	484	356	333	168	126	27	853
Andrea J. Betancourt United Kingdom	16	686 1.4×	470 1.3×	916 2.8×	251 1.5×	105 0.8×	29	1.5k
Arnar Pálsson Iceland	16	381 0.8×	131 0.4×	363 1.1×	127 0.8×	94 0.7×	28	836
James J. Lewis United States	16	369 0.8×	347 1.0×	420 1.3×	260 1.5×	54 0.4×	26	927
Kohta Yoshida Japan	15	256 0.5×	324 0.9×	519 1.6×	155 0.9×	152 1.2×	32	819
Joseph A. Ross United States	10	307 0.6×	432 1.2×	982 2.9×	222 1.3×	123 1.0×	18	1.3k
Shamoni Maheshwari United States	10	617 1.3×	637 1.8×	483 1.5×	153 0.9×	49 0.4×	12	1.1k
Pablo Duchen Germany	10	217 0.4×	110 0.3×	434 1.3×	188 1.1×	130 1.0×	22	693
Kyoichi Sawamura Japan	16	396 0.8×	261 0.7×	574 1.7×	252 1.5×	59 0.5×	36	914
Luciana Ordunha Araripe Brazil	14	331 0.7×	289 0.8×	596 1.8×	316 1.9×	153 1.2×	26	1.0k
M. Emília Santos United Kingdom	16	243 0.5×	100 0.3×	236 0.7×	171 1.0×	137 1.1×	30	702

Countries citing papers authored by Mia T Levine

Since Specialization

Citations

This map shows the geographic impact of Mia T Levine'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 Mia T Levine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mia T Levine more than expected).

Fields of papers citing papers by Mia T Levine

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mia T Levine. 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 Mia T Levine. The network helps show where Mia T Levine may publish in the future.

Co-authorship network of co-authors of Mia T Levine

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

All Works

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20 of 20 papers shown

Santiago‐Frangos, Andrew, et al.. (2025). Rapid compensatory evolution within a multiprotein complex preserves telomere integrity. Science. 390(6776). 918–924.

Ebert, Anja, et al.. (2025). Recurrent innovation of protein-protein interactions in the Drosophila piRNA pathway. The EMBO Journal. 45(6). 1909–1932. 2 indexed citations

Thomas, Gregg W.C., Jacob S. Berv, Michael A. Lampson, et al.. (2025). The Genomic Landscape, Causes, and Consequences of Extensive Phylogenomic Discordance in Murine Rodents. Genome Biology and Evolution. 17(2). 1 indexed citations

Levine, Mia T, et al.. (2025). A parent-of-origin effect on embryonic telomere elongation determines telomere length inheritance. Current Biology. 35(20). 5081–5089.e3.

Buszczak, Michael, et al.. (2024). Recurrent Duplication and Diversification of a Vital DNA Repair Gene Family Across Drosophila. Molecular Biology and Evolution. 41(6). 2 indexed citations

Schmidt, Paul, et al.. (2023). Histone methylation regulates reproductive diapause in Drosophila melanogaster. PLoS Genetics. 19(9). e1010906–e1010906. 11 indexed citations

Levine, Mia T, et al.. (2022). Cross-species incompatibility between a DNA satellite and the Drosophila Spartan homolog poisons germline genome integrity. Current Biology. 32(13). 2962–2971.e4. 14 indexed citations

Levine, Mia T, et al.. (2021). Functional Diversification of Chromatin on Rapid Evolutionary Timescales. Annual Review of Genetics. 55(1). 401–425. 13 indexed citations

Ma, Jun, et al.. (2021). Parallel pathways for recruiting effector proteins determine centromere drive and suppression. Cell. 184(19). 4904–4918.e11. 45 indexed citations

10.

Levine, Mia T, et al.. (2020). Adaptive evolution of an essential telomere protein restricts telomeric retrotransposons. eLife. 9. 11 indexed citations

11.

Levine, Mia T, et al.. (2020). The Telomere Paradox: Stable Genome Preservation with Rapidly Evolving Proteins. Trends in Genetics. 36(4). 232–242. 28 indexed citations

12.

Nguyen, Son C., et al.. (2019). Diversification and collapse of a telomere elongation mechanism. Genome Research. 29(6). 920–931. 35 indexed citations

13.

Levine, Mia T, et al.. (2016). Recurrent Gene Duplication Diversifies Genome Defense Repertoire in Drosophila. Molecular Biology and Evolution. 33(7). 1641–1653. 14 indexed citations

14.

Levine, Mia T, et al.. (2016). Recurrent Innovation at Genes Required for Telomere Integrity inDrosophila. Molecular Biology and Evolution. msw248–msw248. 26 indexed citations

15.

Levine, Mia T, Connor O. McCoy, Danielle Vermaak, et al.. (2012). Phylogenomic Analysis Reveals Dynamic Evolutionary History of the Drosophila Heterochromatin Protein 1 (HP1) Gene Family. PLoS Genetics. 8(6). e1002729–e1002729. 41 indexed citations

16.

Levine, Mia T, et al.. (2010). Whole-Genome Expression Plasticity across Tropical and Temperate Drosophila melanogaster Populations from Eastern Australia. Molecular Biology and Evolution. 28(1). 249–256. 77 indexed citations

17.

Levine, Mia T & David J Begun. (2007). Comparative Population Genetics of the Immunity Gene, Relish: Is Adaptive Evolution Idiosyncratic?. PLoS ONE. 2(5). e442–e442. 9 indexed citations

18.

Levine, Mia T, et al.. (2007). Pervasive and Largely Lineage-Specific Adaptive Protein Evolution in the Dosage Compensation Complex of Drosophila melanogaster. Genetics. 177(3). 1959–1962. 22 indexed citations

19.

Levine, Mia T, Corbin D. Jones, Andrew D. Kern, Heather A. Lindfors, & David J Begun. (2006). Novel genes derived from noncoding DNA in Drosophila melanogaster are frequently X-linked and exhibit testis-biased expression. Proceedings of the National Academy of Sciences. 103(26). 9935–9939. 253 indexed citations

20.

Levine, Mia T & Ilka C. Feller. (2004). Effects of forest age and disturbance on population persistence in the understory herb, Arisaema triphyllum (Araceae). Plant Ecology. 172(1). 73–82. 18 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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