Jared W. Westbrook

1.0k total citations
19 papers, 662 citations indexed

About

Jared W. Westbrook is a scholar working on Endocrinology, Plant Science and Ecology. According to data from OpenAlex, Jared W. Westbrook has authored 19 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Endocrinology, 10 papers in Plant Science and 5 papers in Ecology. Recurrent topics in Jared W. Westbrook's work include Plant and Fungal Interactions Research (11 papers), Plant Pathogens and Fungal Diseases (4 papers) and Horticultural and Viticultural Research (4 papers). Jared W. Westbrook is often cited by papers focused on Plant and Fungal Interactions Research (11 papers), Plant Pathogens and Fungal Diseases (4 papers) and Horticultural and Viticultural Research (4 papers). Jared W. Westbrook collaborates with scholars based in United States, Panama and France. Jared W. Westbrook's co-authors include Nicolás Rojas, Médéric Argentina, Jacques Dumais, Xavier Noblin, S. Joseph Wright‬, William A. Powell, Kaoru Kitajima, Kim C. Steiner, Frederick V. Hebard and Laura L. Georgi and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Jared W. Westbrook

17 papers receiving 651 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jared W. Westbrook United States 13 235 160 159 141 121 19 662
Navish Wadhwa United States 13 57 0.2× 271 1.7× 66 0.4× 49 0.3× 37 0.3× 20 957
M. Mimura Japan 15 199 0.8× 160 1.0× 10 0.1× 254 1.8× 201 1.7× 56 945
Hong‐Hu Meng China 21 223 0.9× 78 0.5× 19 0.1× 154 1.1× 457 3.8× 52 966
Richard W. Blank Germany 9 196 0.8× 148 0.9× 14 0.1× 189 1.3× 71 0.6× 20 579
Haoxiang Zhao China 14 116 0.5× 183 1.1× 11 0.1× 142 1.0× 142 1.2× 48 834
Naoto Kamata Japan 16 189 0.8× 577 3.6× 31 0.2× 181 1.3× 237 2.0× 80 905
Suzanne M. Peyer United States 10 40 0.2× 217 1.4× 81 0.5× 69 0.5× 97 0.8× 15 501
Takehiko Yamanaka Japan 21 225 1.0× 603 3.8× 19 0.1× 203 1.4× 446 3.7× 73 1.3k
Marcin Piątek Poland 16 670 2.9× 64 0.4× 60 0.4× 24 0.2× 225 1.9× 141 1.0k

Countries citing papers authored by Jared W. Westbrook

Since Specialization
Citations

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

Fields of papers citing papers by Jared W. Westbrook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jared W. Westbrook. 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 Jared W. Westbrook. The network helps show where Jared W. Westbrook may publish in the future.

Co-authorship network of co-authors of Jared W. Westbrook

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

All Works

19 of 19 papers shown
1.
Westbrook, Jared W., et al.. (2024). A genome-guided strategy for climate resilience in American chestnut restoration populations. Proceedings of the National Academy of Sciences. 121(30). e2403505121–e2403505121. 4 indexed citations
2.
Westbrook, Jared W., Qian Zhang, John A. Scrivani, et al.. (2022). Frozen in time: Rangewide genomic diversity, structure, and demographic history of relict American chestnut populations. Molecular Ecology. 31(18). 4640–4655. 12 indexed citations
3.
4.
Cagle, Nicolette L., et al.. (2021). Identifying resilient restoration targets: Mapping and forecasting habitat suitability for Castanea dentata in Eastern USA under different climate-change scenarios. SHILAP Revista de lepidopterología. 2. 100037–100037. 10 indexed citations
5.
Westbrook, Jared W., Jason A. Holliday, Andrew E. Newhouse, & William A. Powell. (2019). A plan to diversify a transgenic blight‐tolerant American chestnut population using citizen science. Plants People Planet. 2(1). 84–95. 33 indexed citations
6.
Westbrook, Jared W., Qian Zhang, Mihir K. Mandal, et al.. (2019). Optimizing genomic selection for blight resistance in American chestnut backcross populations: A trade‐off with American chestnut ancestry implies resistance is polygenic. Evolutionary Applications. 13(1). 31–47. 49 indexed citations
7.
8.
Tuskan, Gerald A., Andrew Groover, Jeremy Schmutz, et al.. (2018). Hardwood Tree Genomics: Unlocking Woody Plant Biology. Frontiers in Plant Science. 9. 1799–1799. 20 indexed citations
9.
Westbrook, Jared W., et al.. (2017). American chestnut restoration©. Acta Horticulturae. 215–218. 2 indexed citations
10.
Argentina, Médéric, et al.. (2016). The fern cavitation catapult: mechanism and design principles. Journal of The Royal Society Interface. 13(114). 20150930–20150930. 31 indexed citations
11.
Steiner, Kim C., et al.. (2016). Rescue of American chestnut with extraspecific genes following its destruction by a naturalized pathogen. New Forests. 48(2). 317–336. 96 indexed citations
12.
Kitajima, Kaoru, S. Joseph Wright‬, & Jared W. Westbrook. (2016). Leaf cellulose density as the key determinant of inter- and intra-specific variation in leaf fracture toughness in a species-rich tropical forest. Interface Focus. 6(3). 20150100–20150100. 31 indexed citations
13.
Westbrook, Jared W., Vikram E. Chhatre, Le‐Shin Wu, et al.. (2015). A Consensus Genetic Map for Pinus taeda and Pinus elliottii and Extent of Linkage Disequilibrium in Two Genotype-Phenotype Discovery Populations of Pinus taeda. G3 Genes Genomes Genetics. 5(8). 1685–1694. 34 indexed citations
14.
Westbrook, Jared W.. (2014). Record for a UF dissertation. Title & abstract won't display until dissertation is accessible after 2016-12-31.. 1 indexed citations
15.
Westbrook, Jared W., Alejandro R. Walker, Leandro G. Neves, et al.. (2014). Discovering candidate genes that regulate resin canal number inPinus taedastems by integrating genetic analysis across environments, ages, and populations. New Phytologist. 205(2). 627–641. 44 indexed citations
16.
Westbrook, Jared W., Márcio F. R. Resende, Patricio Muńoz, et al.. (2013). Association genetics of oleoresin flow in loblolly pine: discovering genes and predicting phenotype for improved resistance to bark beetles and bioenergy potential. New Phytologist. 199(1). 89–100. 54 indexed citations
17.
Noblin, Xavier, et al.. (2012). The Fern Sporangium: A Unique Catapult. Science. 335(6074). 1322–1322. 142 indexed citations
18.
Westbrook, Jared W., Kaoru Kitajima, J. Gordon Burleigh, et al.. (2011). What Makes a Leaf Tough? Patterns of Correlated Evolution between Leaf Toughness Traits and Demographic Rates among 197 Shade-Tolerant Woody Species in a Neotropical Forest. The American Naturalist. 177(6). 800–811. 81 indexed citations
19.
Westbrook, Jared W.. (2003). Distribution and abundance of zebra mussels in Douglas Lake, MI.. Deep Blue (University of Michigan).

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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