Brian J. Stanton

1.4k total citations
33 papers, 766 citations indexed

About

Brian J. Stanton is a scholar working on Agronomy and Crop Science, Mechanics of Materials and Global and Planetary Change. According to data from OpenAlex, Brian J. Stanton has authored 33 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Agronomy and Crop Science, 13 papers in Mechanics of Materials and 11 papers in Global and Planetary Change. Recurrent topics in Brian J. Stanton's work include Bioenergy crop production and management (27 papers), Forest Biomass Utilization and Management (13 papers) and Biofuel production and bioconversion (11 papers). Brian J. Stanton is often cited by papers focused on Bioenergy crop production and management (27 papers), Forest Biomass Utilization and Management (13 papers) and Biofuel production and bioconversion (11 papers). Brian J. Stanton collaborates with scholars based in United States, Chile and France. Brian J. Stanton's co-authors include Mark F. Davis, David B. Neale, Robert W. Sykes, Jill Wegrzyn, Fernando Guerra, R. F. Stettler, Paul E. Heilman, B. Moser, Jane M. F. Johnson and Jefferson T. Eaton and has published in prestigious journals such as New Phytologist, Molecular Ecology and Biomass and Bioenergy.

In The Last Decade

Brian J. Stanton

32 papers receiving 715 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian J. Stanton United States 15 332 291 251 161 140 33 766
Ann Christin Rönnberg‐Wästljung Sweden 19 439 1.3× 481 1.7× 190 0.8× 202 1.3× 166 1.2× 40 938
Sviatlana Trybush United Kingdom 9 216 0.7× 269 0.9× 109 0.4× 131 0.8× 76 0.5× 10 498
B. Andersson Sweden 16 506 1.5× 331 1.1× 151 0.6× 150 0.9× 261 1.9× 50 1.1k
M. H. Pei United Kingdom 16 439 1.3× 435 1.5× 405 1.6× 48 0.3× 61 0.4× 41 707
Miki Okada United States 14 186 0.6× 401 1.4× 182 0.7× 152 0.9× 106 0.8× 23 695
Blaine Johnson United States 11 461 1.4× 446 1.5× 140 0.6× 176 1.1× 41 0.3× 40 856
L. Zsuffa Canada 13 332 1.0× 176 0.6× 88 0.4× 65 0.4× 156 1.1× 47 524
Priya Ranjan United States 13 158 0.5× 573 2.0× 432 1.7× 274 1.7× 67 0.5× 16 965
Julie Hansen United States 14 332 1.0× 425 1.5× 56 0.2× 159 1.0× 22 0.2× 41 740
Oleksandr Skyba Canada 14 98 0.3× 470 1.6× 246 1.0× 101 0.6× 64 0.5× 17 797

Countries citing papers authored by Brian J. Stanton

Since Specialization
Citations

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

Fields of papers citing papers by Brian J. Stanton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian J. Stanton. 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 Brian J. Stanton. The network helps show where Brian J. Stanton may publish in the future.

Co-authorship network of co-authors of Brian J. Stanton

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

All Works

20 of 20 papers shown
1.
Neale, David B., Jason A. Holliday, Randi A. Famula, et al.. (2023). GWAS on the Attack by Aspen Borer Saperda calcarata on Black Cottonwood Trees Reveals a Response Mechanism Involving Secondary Metabolism and Independence of Tree Architecture. Forests. 14(6). 1129–1129. 1 indexed citations
2.
Macaya‐Sanz, David, Ran Zhou, Kerrie Barry, et al.. (2022). High-resolution mapping reveals hotspots and sex-biased recombination in Populus trichocarpa. G3 Genes Genomes Genetics. 13(1). 1 indexed citations
3.
Harman‐Ware, Anne E., David Macaya‐Sanz, Crissa Doeppke, et al.. (2021). Accurate determination of genotypic variance of cell wall characteristics of a Populus trichocarpa pedigree using high-throughput pyrolysis-molecular beam mass spectrometry. Biotechnology for Biofuels. 14(1). 59–59. 11 indexed citations
4.
Himes, Austin, et al.. (2020). Leaf traits indicative of drought resistance in hybrid poplar. Agricultural Water Management. 246. 106676–106676. 9 indexed citations
5.
Stanton, Brian J., Mark D. Coleman, Mark H. Eisenbies, et al.. (2020). The practice and economics of hybrid poplar biomass production for biofuels and bioproducts in the Pacific Northwest. BioEnergy Research. 14(2). 543–560. 21 indexed citations
6.
7.
Guerra, Fernando, Haktan Suren, Jason A. Holliday, et al.. (2019). Exome resequencing and GWAS for growth, ecophysiology, and chemical and metabolomic composition of wood of Populus trichocarpa. BMC Genomics. 20(1). 875–875. 18 indexed citations
8.
Stanton, Brian J., et al.. (2019). The Economics of Rapid Multiplication of Hybrid Poplar Biomass Varieties. Forests. 10(5). 446–446. 11 indexed citations
9.
Busby, Gwen, et al.. (2019). The economics of dedicated hybrid poplar biomass plantations in the western U.S.. Biomass and Bioenergy. 124. 114–124. 21 indexed citations
10.
Kerr, Sandra, Lisa Lucas, Grace E. DiDomenico, et al.. (2017). Is mindfulness training useful for pre-service teachers? An exploratory investigation. Teaching Education. 28(4). 349–359. 24 indexed citations
11.
Burkhart, Harold E., et al.. (2017). An assessment of potential of hybrid poplar for planting in the Virginia Piedmont. New Forests. 48(4). 479–490. 3 indexed citations
12.
Guerra, Fernando, James H. Richards, Oliver Fiehn, et al.. (2016). Analysis of the genetic variation in growth, ecophysiology, and chemical and metabolomic composition of wood of Populus trichocarpa provenances. Tree Genetics & Genomes. 12(1). 42 indexed citations
13.
Geraldes, Armando, Charles A. Hefer, Arnaud Capron, et al.. (2015). Recent Y chromosome divergence despite ancient origin of dioecy in poplars ( Populus ). Molecular Ecology. 24(13). 3243–3256. 101 indexed citations
14.
Wegrzyn, Jill, Andrew J. Eckert, Min‐Young Choi, et al.. (2010). Association genetics of traits controlling lignin and cellulose biosynthesis in black cottonwood (Populus trichocarpa, Salicaceae) secondary xylem. New Phytologist. 188(2). 515–532. 104 indexed citations
15.
Stanton, Brian J., Jon D. Johnson, & David B. Neale. (2008). Genetic improvement of hybrid poplar for the renewable fuels industry: a Pacific Northwest perspective. 1 indexed citations
16.
17.
Stanton, Brian J., et al.. (2002). Hybrid Poplar in the Pacific Northwest: The Effects of Market-Driven Management. Journal of Forestry. 100(4). 28–33. 89 indexed citations
18.
Stanton, Brian J.. (2001). Clonal variation in basal area growth patterns during stand development in hybrid poplar. Canadian Journal of Forest Research. 31(12). 2059–2066. 12 indexed citations
19.
Meilan, Richard, Caiping Ma, Rosalind R. James, et al.. (2000). Development of glyphosate-tolerant hybrid cottonwoods.. 83(1). 164–166. 8 indexed citations
20.
Stettler, R. F., et al.. (1988). Populustrichocarpa × Populusdeltoides hybrids for short rotation culture: variation patterns and 4-year field performance. Canadian Journal of Forest Research. 18(6). 745–753. 69 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ann Christin Rönnberg‐Wästljung Breakdown of academic impact, for papers by Sviatlana Trybush Breakdown of academic impact, for papers by B. Andersson Breakdown of academic impact, for papers by M. H. Pei Breakdown of academic impact, for papers by Miki Okada Breakdown of academic impact, for papers by Blaine Johnson Breakdown of academic impact, for papers by L. Zsuffa Breakdown of academic impact, for papers by Priya Ranjan Breakdown of academic impact, for papers by Julie Hansen Breakdown of academic impact, for papers by Oleksandr Skyba
Rankless by CCL
2026