Michael Reagon

1.1k total citations
11 papers, 815 citations indexed

About

Michael Reagon is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Michael Reagon has authored 11 papers receiving a total of 815 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 7 papers in Genetics and 4 papers in Molecular Biology. Recurrent topics in Michael Reagon's work include Genetic Mapping and Diversity in Plants and Animals (7 papers), Weed Control and Herbicide Applications (4 papers) and Plant Virus Research Studies (3 papers). Michael Reagon is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (7 papers), Weed Control and Herbicide Applications (4 papers) and Plant Virus Research Studies (3 papers). Michael Reagon collaborates with scholars based in United States, Italy and France. Michael Reagon's co-authors include Ana L. Caicedo, Yulin Jia, Kenneth M. Olsen, Allison A. Snow, Carrie S. Thurber, Briana L. Gross, Diana Pilson, M. J. Paulsen, Diana E. Wolf and Sarena M. Selbo and has published in prestigious journals such as PLoS ONE, Molecular Ecology and Ecological Applications.

In The Last Decade

Michael Reagon

11 papers receiving 792 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Reagon United States 10 743 378 267 78 57 11 815
Outi Manninen Finland 17 820 1.1× 286 0.8× 224 0.8× 63 0.8× 55 1.0× 39 904
Casiana M. Vera Cruz Philippines 16 1.2k 1.7× 203 0.5× 196 0.7× 47 0.6× 25 0.4× 27 1.3k
Tokio Imbe Japan 22 1.2k 1.6× 582 1.5× 227 0.9× 52 0.7× 34 0.6× 44 1.3k
María Muñoz‐Amatriaín United States 22 1.4k 1.9× 348 0.9× 327 1.2× 54 0.7× 117 2.1× 41 1.5k
Melissa H. Jia United States 20 1.1k 1.5× 604 1.6× 366 1.4× 44 0.6× 38 0.7× 48 1.3k
Hanan Sela Israel 18 1.4k 1.9× 385 1.0× 329 1.2× 34 0.4× 118 2.1× 44 1.4k
H S Pooni United Kingdom 18 791 1.1× 377 1.0× 144 0.5× 77 1.0× 76 1.3× 59 944
Dominique Mingeot Belgium 15 595 0.8× 182 0.5× 147 0.6× 47 0.6× 47 0.8× 37 702
Hyeonso Ji South Korea 16 796 1.1× 334 0.9× 207 0.8× 47 0.6× 30 0.5× 56 904
M. William Mexico 16 963 1.3× 317 0.8× 205 0.8× 24 0.3× 142 2.5× 26 1.0k

Countries citing papers authored by Michael Reagon

Since Specialization
Citations

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

Fields of papers citing papers by Michael Reagon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Reagon

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

All Works

11 of 11 papers shown
1.
Young, Nelson D., Michael Reagon, Katie E. Hyma, et al.. (2017). All roads lead to weediness: Patterns of genomic divergence reveal extensive recurrent weedy rice origins from South Asian Oryza. Molecular Ecology. 26(12). 3151–3167. 45 indexed citations
2.
Tyler, Ludmila, Scott Lee, Nelson D. Young, et al.. (2016). Population Structure in the Model Grass Brachypodium distachyon Is Highly Correlated with Flowering Differences across Broad Geographic Areas. The Plant Genome. 9(2). 161 indexed citations
3.
4.
Thurber, Carrie S., Michael Reagon, Kenneth M. Olsen, Yulin Jia, & Ana L. Caicedo. (2014). The evolution of flowering strategies in US weedy rice. American Journal of Botany. 101(10). 1737–1747. 32 indexed citations
5.
Reagon, Michael, Carrie S. Thurber, Kenneth M. Olsen, Yulin Jia, & Ana L. Caicedo. (2011). The long and the short of it: SD1 polymorphism and the evolution of growth trait divergence in U.S. weedy rice. Molecular Ecology. 20(18). 3743–3756. 35 indexed citations
6.
Reagon, Michael, Carrie S. Thurber, Briana L. Gross, et al.. (2010). Genomic patterns of nucleotide diversity in divergent populations of U.S. weedy rice. BMC Evolutionary Biology. 10(1). 180–180. 99 indexed citations
7.
Gross, Briana L., et al.. (2010). Seeing red: the origin of grain pigmentation in US weedy rice. Molecular Ecology. 19(16). 3380–3393. 67 indexed citations
8.
Thurber, Carrie S., Michael Reagon, Briana L. Gross, et al.. (2010). Molecular evolution of shattering loci in U.S. weedy rice. Molecular Ecology. 19(16). 3271–3284. 108 indexed citations
9.
Reagon, Michael. (2007). Mechanisms facilitating and evolutionary consequences of gene flow in two crop-wild hybrid complexes: sunflower and rice. OhioLink ETD Center (Ohio Library and Information Network). 1 indexed citations
10.
Reagon, Michael & Allison A. Snow. (2006). Cultivated Helianthus annuus (Asteraceae) volunteers as a genetic “bridge” to weedy sunflower populations in North America. American Journal of Botany. 93(1). 127–133. 49 indexed citations
11.
Snow, Allison A., Diana Pilson, Loren H. Rieseberg, et al.. (2003). A Bt TRANSGENE REDUCES HERBIVORY AND ENHANCES FECUNDITY IN WILD SUNFLOWERS. Ecological Applications. 13(2). 279–286. 204 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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