Miya D. Howell

3.8k total citations · 2 hit papers
8 papers, 3.0k citations indexed

About

Miya D. Howell is a scholar working on Plant Science, Molecular Biology and Cancer Research. According to data from OpenAlex, Miya D. Howell has authored 8 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 5 papers in Molecular Biology and 2 papers in Cancer Research. Recurrent topics in Miya D. Howell's work include Plant Molecular Biology Research (8 papers), Chromosomal and Genetic Variations (5 papers) and Plant Reproductive Biology (3 papers). Miya D. Howell is often cited by papers focused on Plant Molecular Biology Research (8 papers), Chromosomal and Genetic Variations (5 papers) and Plant Reproductive Biology (3 papers). Miya D. Howell collaborates with scholars based in United States, China and South Korea. Miya D. Howell's co-authors include James C. Carrington, Noah Fahlgren, Edwards Allen, Taiowa A. Montgomery, Elisabeth J. Chapman, Amanda L. Alexander, Christopher M. Sullivan, Kristin D. Kasschau, Scott A. Givan and Jason S. Cumbie and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Genes & Development.

In The Last Decade

Miya D. Howell

8 papers receiving 2.9k citations

Hit Papers

High-Throughput Sequencing of Arabidopsis microRNAs: Evid... 2007 2026 2013 2019 2007 2008 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miya D. Howell United States 7 2.7k 1.7k 228 95 52 8 3.0k
Yu Yu China 18 1.8k 0.7× 1.3k 0.7× 214 0.9× 150 1.6× 36 0.7× 54 2.2k
Pablo A. Manavella Argentina 24 2.2k 0.8× 1.6k 1.0× 168 0.7× 42 0.4× 33 0.6× 52 2.5k
Kan Nobuta United States 20 1.8k 0.6× 1.2k 0.7× 176 0.8× 80 0.8× 41 0.8× 28 2.2k
Xianwei Song China 21 2.2k 0.8× 1.2k 0.7× 89 0.4× 90 0.9× 37 0.7× 35 2.4k
Filipe Borges United States 19 3.2k 1.2× 2.3k 1.3× 91 0.4× 102 1.1× 40 0.8× 26 3.6k
Nicolás G. Bologna Argentina 15 1.2k 0.5× 778 0.5× 110 0.5× 89 0.9× 32 0.6× 23 1.4k
Shengben Li United States 14 1.4k 0.5× 802 0.5× 106 0.5× 57 0.6× 10 0.2× 15 1.6k
Matthew M. S. Evans United States 20 1.3k 0.5× 1.1k 0.6× 203 0.9× 217 2.3× 17 0.3× 29 1.6k
Milo J. Aukerman United States 18 3.2k 1.2× 2.4k 1.4× 176 0.8× 27 0.3× 16 0.3× 23 3.6k

Countries citing papers authored by Miya D. Howell

Since Specialization
Citations

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

Fields of papers citing papers by Miya D. Howell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miya D. Howell. 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 Miya D. Howell. The network helps show where Miya D. Howell may publish in the future.

Co-authorship network of co-authors of Miya D. Howell

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

All Works

8 of 8 papers shown
1.
Donovan, William P., Yuanji Zhang, & Miya D. Howell. (2011). Large-Scale Sequencing of Plant Small RNAs. Methods in molecular biology. 744. 159–173. 5 indexed citations
2.
Allen, Edwards & Miya D. Howell. (2010). miRNAs in the biogenesis of trans-acting siRNAs in higher plants. Seminars in Cell and Developmental Biology. 21(8). 798–804. 114 indexed citations
3.
Chitwood, Daniel H., Fábio Tebaldi Silveira Nogueira, Miya D. Howell, et al.. (2009). Pattern formation via small RNA mobility. Genes & Development. 23(5). 549–554. 307 indexed citations
4.
Montgomery, Taiowa A., Seong Jeon Yoo, Noah Fahlgren, et al.. (2008). AGO1-miR173 complex initiates phased siRNA formation in plants. Proceedings of the National Academy of Sciences. 105(51). 20055–20062. 154 indexed citations
5.
Montgomery, Taiowa A., Miya D. Howell, Josh T. Cuperus, et al.. (2008). Specificity of ARGONAUTE7-miR390 Interaction and Dual Functionality in TAS3 Trans-Acting siRNA Formation. Cell. 133(1). 128–141. 605 indexed citations breakdown →
6.
Fahlgren, Noah, Miya D. Howell, Kristin D. Kasschau, et al.. (2007). High-Throughput Sequencing of Arabidopsis microRNAs: Evidence for Frequent Birth and Death of MIRNA Genes. PLoS ONE. 2(2). e219–e219. 977 indexed citations breakdown →
7.
Howell, Miya D., Noah Fahlgren, Elisabeth J. Chapman, et al.. (2007). Genome-Wide Analysis of the RNA-DEPENDENT RNA POLYMERASE6/DICER-LIKE4 Pathway inArabidopsisReveals Dependency on miRNA- and tasiRNA-Directed Targeting. The Plant Cell. 19(3). 926–942. 310 indexed citations
8.
Fahlgren, Noah, Taiowa A. Montgomery, Miya D. Howell, et al.. (2006). Regulation of AUXIN RESPONSE FACTOR3 by TAS3 ta-siRNA Affects Developmental Timing and Patterning in Arabidopsis. Current Biology. 16(9). 939–944. 479 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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