Mia T Levine

65 total papers · 1.3k total citations
27 papers, 848 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 848 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), Genomics and Phylogenetic Studies (7 papers) and CRISPR and Genetic Engineering (7 papers). Mia T Levine is often cited by papers focused on Chromosomal and Genetic Variations (14 papers), Genomics and Phylogenetic Studies (7 papers) and CRISPR and Genetic Engineering (7 papers). Mia T Levine collaborates with scholars based in United States, Denmark and Austria. Mia T Levine's co-authors include David J Begun, Melissa Eckert, Heather A. Lindfors, Andrew D. Kern, Corbin D. Jones, 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

24 papers receiving 822 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mia T Levine 483 355 333 167 128 27 848
Joseph D. Coolon 598 1.2× 272 0.8× 458 1.4× 118 0.7× 123 1.0× 23 1.0k
Martin Pippel 695 1.4× 194 0.5× 234 0.7× 113 0.7× 138 1.1× 28 1.1k
Arnar Pálsson 380 0.8× 130 0.4× 363 1.1× 126 0.8× 94 0.7× 28 835
James J. Lewis 363 0.8× 345 1.0× 414 1.2× 253 1.5× 54 0.4× 26 915
Kohta Yoshida 254 0.5× 320 0.9× 512 1.5× 153 0.9× 151 1.2× 32 810
Rongfeng Cui 292 0.6× 150 0.4× 475 1.4× 230 1.4× 138 1.1× 27 929
Maxim Koriabine 529 1.1× 259 0.7× 185 0.6× 64 0.4× 58 0.5× 22 861
Meredith Gould‐Somero 567 1.2× 269 0.8× 315 0.9× 138 0.8× 146 1.1× 14 1.0k
Susanne U. Franssen 217 0.4× 164 0.5× 374 1.1× 153 0.9× 271 2.1× 23 955
Kyoichi Sawamura 396 0.8× 261 0.7× 574 1.7× 252 1.5× 59 0.5× 36 914

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

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026