Carrie S. Thurber

1.3k total citations
17 papers, 979 citations indexed

About

Carrie S. Thurber is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Carrie S. Thurber has authored 17 papers receiving a total of 979 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 9 papers in Genetics and 5 papers in Agronomy and Crop Science. Recurrent topics in Carrie S. Thurber's work include Genetic Mapping and Diversity in Plants and Animals (9 papers), Wheat and Barley Genetics and Pathology (4 papers) and Rice Cultivation and Yield Improvement (4 papers). Carrie S. Thurber is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (9 papers), Wheat and Barley Genetics and Pathology (4 papers) and Rice Cultivation and Yield Improvement (4 papers). Carrie S. Thurber collaborates with scholars based in United States, Switzerland and Ghana. Carrie S. Thurber's co-authors include Patrick J. Brown, Ana L. Caicedo, Yulin Jia, Kenneth M. Olsen, Michael Reagon, Allison M. Krill, F. L. Kolb, Marcio Pais de Arruda, R. Higgins and Briana L. Gross and has published in prestigious journals such as PLoS ONE, Genome biology and Molecular Ecology.

In The Last Decade

Carrie S. Thurber

16 papers receiving 964 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carrie S. Thurber United States 13 894 532 141 122 111 17 979
Shuangye Wu United States 11 817 0.9× 565 1.1× 92 0.7× 140 1.1× 77 0.7× 18 973
Jiafa Chen China 18 903 1.0× 577 1.1× 87 0.6× 96 0.8× 146 1.3× 43 967
Sundeep Kumar India 13 754 0.8× 242 0.5× 129 0.9× 95 0.8× 54 0.5× 30 833
Alessandro Davassi United Kingdom 6 783 0.9× 618 1.2× 65 0.5× 158 1.3× 37 0.3× 6 1.0k
M. William Mexico 16 963 1.1× 317 0.6× 142 1.0× 205 1.7× 55 0.5× 26 1.0k
Bochra A. Bahri United States 16 711 0.8× 212 0.4× 117 0.8× 267 2.2× 121 1.1× 56 831
Vasu Kuraparthy United States 17 1.0k 1.2× 187 0.4× 88 0.6× 222 1.8× 54 0.5× 46 1.1k
Marc Leconte France 16 1.0k 1.2× 252 0.5× 126 0.9× 438 3.6× 113 1.0× 31 1.1k
Elena Pestsova Germany 18 1.3k 1.5× 540 1.0× 159 1.1× 196 1.6× 50 0.5× 24 1.4k
Marie‐Laure Pilet‐Nayel France 24 1.7k 1.9× 270 0.5× 104 0.7× 177 1.5× 184 1.7× 41 1.8k

Countries citing papers authored by Carrie S. Thurber

Since Specialization
Citations

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

Fields of papers citing papers by Carrie S. Thurber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carrie S. Thurber. 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 Carrie S. Thurber. The network helps show where Carrie S. Thurber may publish in the future.

Co-authorship network of co-authors of Carrie S. Thurber

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

All Works

17 of 17 papers shown
1.
Thurber, Carrie S.. (2022). The Evolutionary Genetics of Seed Shattering and Flowering Time, Two Weed Adaptive Traits in US Weedy Rice. Scholarworks (University of Massachusetts Amherst).
2.
Jia, Yulin, Vijay P. Singh, David R. Gealy, et al.. (2021). Registration of two rice mapping populations using weedy rice ecotypes as a novel germplasm resource. Journal of Plant Registrations. 16(1). 162–175. 2 indexed citations
3.
Singh, Ranjit, Brian W. Diers, George L. Graef, et al.. (2018). Genetic Introgression from Glycine tomentella to Soybean to Increase Seed Yield. Crop Science. 58(3). 1277–1291. 9 indexed citations
4.
Arruda, Marcio Pais de, Alexander E. Lipka, Patrick J. Brown, et al.. (2016). Comparing genomic selection and marker-assisted selection for Fusarium head blight resistance in wheat (Triticum aestivum L.). Molecular Breeding. 36(7). 120 indexed citations
5.
Arruda, Marcio Pais de, Patrick J. Brown, Gina Brown‐Guedira, et al.. (2016). Genome‐Wide Association Mapping of Fusarium Head Blight Resistance in Wheat using Genotyping‐by‐Sequencing. The Plant Genome. 9(1). 92 indexed citations
6.
Arruda, Marcio Pais de, Patrick J. Brown, Alexander E. Lipka, et al.. (2015). Genomic Selection for Predicting Fusarium Head Blight Resistance in a Wheat Breeding Program. The Plant Genome. 8(3). eplantgenome2015.01.0003–eplantgenome2015.01.0003. 105 indexed citations
7.
Hayes, Chad, Gloria Burow, Patrick J. Brown, et al.. (2015). Natural Variation in Synthesis and Catabolism Genes Influences Dhurrin Content in Sorghum. The Plant Genome. 8(2). eplantgenome2014.09.0048–eplantgenome2014.09.0048. 39 indexed citations
8.
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
9.
Higgins, R., et al.. (2014). Multiparental Mapping of Plant Height and Flowering Time QTL in Partially Isogenic Sorghum Families. G3 Genes Genomes Genetics. 4(9). 1593–1602. 50 indexed citations
10.
Chang, Sungyul, Carrie S. Thurber, Patrick J. Brown, et al.. (2014). Comparative Mapping of the Wild Perennial Glycine latifolia and Soybean (G. max) Reveals Extensive Chromosome Rearrangements in the Genus Glycine. PLoS ONE. 9(6). e99427–e99427. 10 indexed citations
11.
Thurber, Carrie S., et al.. (2013). Retrospective genomic analysis of sorghum adaptation to temperate-zone grain production. Genome biology. 14(6). R68–R68. 104 indexed citations
12.
Thurber, Carrie S., Melissa H. Jia, Yulin Jia, & Ana L. Caicedo. (2012). Similar traits, different genes? Examining convergent evolution in related weedy rice populations. Molecular Ecology. 22(3). 685–698. 46 indexed citations
13.
Thurber, Carrie S., Peter K. Hepler, & Ana L. Caicedo. (2011). Timing is everything: early degradation of abscission layer is associated with increased seed shattering in U.S. weedy rice. BMC Plant Biology. 11(1). 14–14. 40 indexed citations
14.
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
15.
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
16.
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
17.
Judelson, Howard S., Audrey M. V. Ah‐Fong, George Aux, et al.. (2008). Gene Expression Profiling During Asexual Development of the Late Blight Pathogen Phytophthora infestans Reveals a Highly Dynamic Transcriptome. Molecular Plant-Microbe Interactions. 21(4). 433–447. 88 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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