Emily A. Heaton

5.8k total citations · 1 hit paper
90 papers, 4.2k citations indexed

About

Emily A. Heaton is a scholar working on Agronomy and Crop Science, Biomedical Engineering and Mechanics of Materials. According to data from OpenAlex, Emily A. Heaton has authored 90 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Agronomy and Crop Science, 50 papers in Biomedical Engineering and 25 papers in Mechanics of Materials. Recurrent topics in Emily A. Heaton's work include Bioenergy crop production and management (72 papers), Biofuel production and bioconversion (49 papers) and Forest Biomass Utilization and Management (25 papers). Emily A. Heaton is often cited by papers focused on Bioenergy crop production and management (72 papers), Biofuel production and bioconversion (49 papers) and Forest Biomass Utilization and Management (25 papers). Emily A. Heaton collaborates with scholars based in United States, Australia and South Korea. Emily A. Heaton's co-authors include Stephen P. Long, Frank G. Dohleman, Thomas Voigt, Rebecca A. Arundale, David A. Laird, Andy VanLoocke, Michael B. Jones, Nicholas N. Boersma, Carl J. Bernacchi and Orla Dermody and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and The Astrophysical Journal.

In The Last Decade

Emily A. Heaton

87 papers receiving 4.0k citations

Hit Papers

Meeting US biofuel goals with less land: the potential of... 2008 2026 2014 2020 2008 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Meeting US biofuel goals with less land: the potential of Miscanthus
    2008 684 citations Emily A. Heaton, Frank G. Dohleman et al. profile →

Peers

Emily A. Heaton
Frank G. Dohleman United States
Salvatore L. Cosentino Italy
Paul R. Adler United States
Marty R. Schmer United States
A. B. Riche United Kingdom
W. W. Wilhelm United States
Enrico Bonari Italy
Michel Labrecque Canada
M. Wachendorf Germany
Kurt D. Thelen United States
Frank G. Dohleman United States
Emily A. Heaton
Citations per year, relative to Emily A. Heaton Emily A. Heaton (= 1×) peers Frank G. Dohleman

Countries citing papers authored by Emily A. Heaton

Since Specialization
Citations

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

Fields of papers citing papers by Emily A. Heaton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily A. Heaton. 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 Emily A. Heaton. The network helps show where Emily A. Heaton may publish in the future.

Co-authorship network of co-authors of Emily A. Heaton

This figure shows the co-authorship network connecting the top 25 collaborators of Emily A. Heaton. A scholar is included among the top collaborators of Emily A. Heaton 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 Emily A. Heaton. Emily A. Heaton 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.
VanLoocke, Andy, Marshall D. McDaniel, Adina Howe, et al.. (2025). Aboveground Rather Than Belowground Productivity Drives Variability in Miscanthus × giganteus Net Primary Productivity. GCB Bioenergy. 17(9).
2.
Keiser, Ashley D., et al.. (2025). Historical Land Management Alters New Soil Carbon Inputs by Annual and Perennial Bioenergy Crops. GCB Bioenergy. 17(8). 2 indexed citations
3.
4.
Miguez, Fernando E., et al.. (2025). Approximately 15% of Miscanthus yield is lost at current commercial cutting heights in Iowa. Agrosystems Geosciences & Environment. 8(1).
5.
6.
Boersma, Nicholas N., et al.. (2024). Advances in Miscanthus × Giganteus Planting Techniques May Increase Carbon Uptake in the Establishment Year. GCB Bioenergy. 17(1). e70012–e70012. 3 indexed citations
7.
Hall, Steven J., David I. S. Green, Matthew J. Helmers, et al.. (2023). Poorly drained depressions can be hotspots of nutrient leaching from agricultural soils. Journal of Environmental Quality. 52(3). 678–690. 9 indexed citations
8.
9.
Miguez, Fernando E., et al.. (2022). Augmenting agroecosystem models with remote sensing data and machine learning increases overall estimates of nitrate-nitrogen leaching. Environmental Research Letters. 17(11). 114010–114010. 6 indexed citations
10.
Heaton, Emily A., et al.. (2022). Agroecosystem model simulations reveal spatial variability in relative productivity in biomass sorghum and maize in Iowa, USA. GCB Bioenergy. 14(12). 1336–1360. 4 indexed citations
11.
McDaniel, Marshall D., et al.. (2021). Soil net nitrogen mineralization and leaching under Miscanthus × giganteus and Zea mays. GCB Bioenergy. 13(9). 1545–1560. 26 indexed citations
12.
Zhong, Jia, et al.. (2021). Water Quality Effects of Economically Viable Land Use Change in the Mississippi River Basin under the Renewable Fuel Standard. Environmental Science & Technology. 55(3). 1566–1575. 18 indexed citations
13.
Lee, Jae‐Jin, Jinlyung Choi, Thanwalee Sooksa-nguan, et al.. (2020). The Impact of Stand Age and Fertilization on the Soil Microbiome of Miscanthus × giganteus. Phytobiomes Journal. 5(1). 51–59. 26 indexed citations
14.
Aurangzaib, Muhammad, et al.. (2018). Developmental Morphology and Biomass Yield of Upland and Lowland Switchgrass Ecotypes Grown in Iowa. Agronomy. 8(5). 61–61. 7 indexed citations
15.
Chang, Hsiaochi, et al.. (2018). Extent of pollen-mediated gene flow and seed longevity in switchgrass (Panicum virgatum L.): Implications for biosafety procedures. Biomass and Bioenergy. 109. 114–124. 5 indexed citations
16.
Puntel, Laila A., John E. Sawyer, Daniel W. Barker, et al.. (2018). A Systems Modeling Approach to Forecast Corn Economic Optimum Nitrogen Rate. Frontiers in Plant Science. 9. 436–436. 43 indexed citations
17.
Bonin, Catherine L., et al.. (2014). Miscanthus sacchariflorus – biofuel parent or new weed?. GCB Bioenergy. 6(6). 629–636. 25 indexed citations
18.
Heaton, Emily A., Lisa A. Schulte, Richard B. Hall, et al.. (2014). Establishment and Short-term Productivity of Annual and Perennial Bioenergy Crops Across a Landscape Gradient. BioEnergy Research. 7(3). 885–898. 27 indexed citations
19.
Arundale, Rebecca A., Frank G. Dohleman, Emily A. Heaton, et al.. (2013). Yields of Miscanthus × giganteus and Panicum virgatum decline with stand age in the Midwestern USA. GCB Bioenergy. 6(1). 1–13. 127 indexed citations
20.
Dohleman, Frank G., Emily A. Heaton, Rebecca A. Arundale, & Stephen P. Long. (2012). Seasonal dynamics of above‐ and below‐ground biomass and nitrogen partitioning in Miscanthus × giganteus and Panicum virgatum across three growing seasons. GCB Bioenergy. 4(5). 534–544. 142 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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