Choo Hamilton

1.8k total citations · 1 hit paper
24 papers, 1.4k citations indexed

About

Choo Hamilton is a scholar working on Biomedical Engineering, Agronomy and Crop Science and Environmental Engineering. According to data from OpenAlex, Choo Hamilton has authored 24 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Biomedical Engineering, 10 papers in Agronomy and Crop Science and 8 papers in Environmental Engineering. Recurrent topics in Choo Hamilton's work include Biofuel production and bioconversion (14 papers), Bioenergy crop production and management (10 papers) and Microbial Fuel Cells and Bioremediation (8 papers). Choo Hamilton is often cited by papers focused on Biofuel production and bioconversion (14 papers), Bioenergy crop production and management (10 papers) and Microbial Fuel Cells and Bioremediation (8 papers). Choo Hamilton collaborates with scholars based in United States, United Kingdom and Canada. Choo Hamilton's co-authors include Abhijeet P. Borole, Jonathan R. Mielenz, Tatiana A. Vishnivetskaya, Costas Tsouris, Chunxiang Fu, Arthur J. Ragauskas, Richard A. Dixon, Doug Aaron, Fang Chen and Xirong Xiao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Choo Hamilton

24 papers receiving 1.3k citations

Hit Papers

align trajectories

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.

Genetic manipulation of lignin reduces recalcitrance and improves ethanol production from switchgrass

2011 508 citations Chunxiang Fu, Jonathan R. Mielenz et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Choo Hamilton United States	16	742	504	458	371	248	24	1.4k
Wei Fang China	20	603 0.8×	110 0.2×	139 0.3×	58 0.2×	129 0.5×	36	1.3k
Matthew D. Yates United States	23	401 0.5×	1.7k 3.4×	260 0.6×	1.1k 2.9×	490 2.0×	47	2.2k
Young‐Lok Cha South Korea	15	399 0.5×	47 0.1×	237 0.5×	68 0.2×	73 0.3×	58	610
Paik San H’ng Malaysia	20	479 0.6×	50 0.1×	59 0.1×	49 0.1×	67 0.3×	62	1.2k
Lijie Chen China	20	974 1.3×	161 0.3×	756 1.7×	102 0.3×	34 0.1×	35	1.4k
William Joe Sagues United States	14	424 0.6×	48 0.1×	142 0.3×	173 0.5×	112 0.5×	31	762
Zili Yi China	15	503 0.7×	34 0.1×	102 0.2×	33 0.1×	19 0.1×	57	879
Xiefei Zhu China	30	643 0.9×	61 0.1×	207 0.5×	71 0.2×	54 0.2×	73	2.5k
Geeta Singh India	18	104 0.1×	23 0.0×	96 0.2×	114 0.3×	74 0.3×	56	1.0k
Yao Su China	16	192 0.3×	16 0.0×	207 0.5×	261 0.7×	22 0.1×	39	964

Countries citing papers authored by Choo Hamilton

Since Specialization

Citations

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

Fields of papers citing papers by Choo Hamilton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Choo Hamilton

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

All Works

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20 of 20 papers shown

Voothuluru, Priyamvada, Choo Hamilton, Keonhee Kim, et al.. (2023). Bark morphological and chemical features are differentially correlated with disease resistance and yield in hybrid poplar taxa. GCB Bioenergy. 15(9). 1140–1153. 1 indexed citations

Tumuluru, Jaya Shankar, Kalavathy Rajan, Choo Hamilton, et al.. (2022). Pilot-Scale Pelleting Tests on High-Moisture Pine, Switchgrass, and Their Blends: Impact on Pellet Physical Properties, Chemical Composition, and Heating Values. Frontiers in Energy Research. 9. 5 indexed citations

Kim, Keonhee, Priyamvada Voothuluru, Choo Hamilton, et al.. (2021). Tradeoffs between yield, disease incidence and conversion efficiency for selection of hybrid poplar genotypes as bioenergy feedstocks. Biomass and Bioenergy. 154. 106259–106259. 2 indexed citations

Mazarei, Mitra, Holly L. Baxter, Keonhee Kim, et al.. (2020). Development and field assessment of transgenic hybrid switchgrass for improved biofuel traits. Euphytica. 216(2). 9 indexed citations

Edmunds, Charles W., Calvin Mukarakate, Mengze Xu, et al.. (2019). Vapor-Phase Stabilization of Biomass Pyrolysis Vapors Using Mixed-Metal Oxide Catalysts. ACS Sustainable Chemistry & Engineering. 7(7). 7386–7394. 19 indexed citations

Edmunds, Charles W., Nicolás André, Choo Hamilton, et al.. (2018). Blended Feedstocks for Thermochemical Conversion: Biomass Characterization and Bio-Oil Production From Switchgrass-Pine Residues Blends. Frontiers in Energy Research. 6. 42 indexed citations

Koff, Jason P. de, et al.. (2017). Changes in Lignocellulosic Polymers, Carbon, and Energy in Switchgrass for Bioenergy Production. Agronomy Journal. 109(5). 1935–1943. 1 indexed citations

Edmunds, Charles W., Choo Hamilton, Keonhee Kim, Nicolás André, & Nicole Labbé. (2017). Rapid Detection of Ash and Inorganics in Bioenergy Feedstocks Using Fourier Transform Infrared Spectroscopy Coupled with Partial Least-Squares Regression. Energy & Fuels. 31(6). 6080–6088. 10 indexed citations

Yee, Kelsey L., Miguel Rodríguez‐Barranco, Choo Hamilton, et al.. (2015). Fermentation of Dilute Acid Pretreated Populus by Clostridium thermocellum, Caldicellulosiruptor bescii, and Caldicellulosiruptor obsidiansis. BioEnergy Research. 8(3). 1014–1021. 5 indexed citations

10.

Joyce, Blake L., Valtcho D. Zheljazkov, Robert W. Sykes, et al.. (2015). Ethanol and High-Value Terpene Co-Production from Lignocellulosic Biomass of Cymbopogon flexuosus and Cymbopogon martinii. PLoS ONE. 10(10). e0139195–e0139195. 19 indexed citations

11.

Sykes, Virginia R., Fred L. Allen, Jonathan R. Mielenz, et al.. (2015). Reduction of Ethanol Yield from Switchgrass Infected with Rust Caused by Puccinia emaculata. BioEnergy Research. 9(1). 239–247. 17 indexed citations

12.

Tschaplinski, Timothy J., Robert F. Standaert, Nancy L. Engle, et al.. (2012). Down-regulation of the caffeic acid O-methyltransferase gene in switchgrass reveals a novel monolignol analog. Biotechnology for Biofuels. 5(1). 71–71. 77 indexed citations

13.

Li, Yongchao, Timothy J. Tschaplinski, Nancy L. Engle, et al.. (2012). Combined inactivation of the Clostridium cellulolyticum lactate and malate dehydrogenase genes substantially increases ethanol yield from cellulose and switchgrass fermentations. Biotechnology for Biofuels. 5(1). 2–2. 110 indexed citations

14.

Borole, Abhijeet P., Choo Hamilton, & Daniel J. Schell. (2012). Conversion of Residual Organics in Corn Stover-Derived Biorefinery Stream to Bioenergy via a Microbial Fuel Cell. Environmental Science & Technology. 47(1). 642–648. 42 indexed citations

15.

Fu, Chunxiang, Jonathan R. Mielenz, Xirong Xiao, et al.. (2011). Genetic manipulation of lignin reduces recalcitrance and improves ethanol production from switchgrass. Proceedings of the National Academy of Sciences. 108(9). 3803–3808. 508 indexed citations breakdown →

16.

Borole, Abhijeet P., Choo Hamilton, & Tatiana A. Vishnivetskaya. (2011). Enhancement in current density and energy conversion efficiency of 3-dimensional MFC anodes using pre-enriched consortium and continuous supply of electron donors. Bioresource Technology. 102(8). 5098–5104. 37 indexed citations

17.

Borole, Abhijeet P., Jonathan R. Mielenz, Tatiana A. Vishnivetskaya, & Choo Hamilton. (2009). Controlling accumulation of fermentation inhibitors in biorefinery recycle water using microbial fuel cells. Biotechnology for Biofuels. 2(1). 7–7. 72 indexed citations

18.

Borole, Abhijeet P., Choo Hamilton, Douglas Aaron, & Costas Tsouris. (2009). Investigating microbial fuel cell bioanode performance under different cathode conditions. Biotechnology Progress. 25(6). 1630–1636. 17 indexed citations

19.

Borole, Abhijeet P., Choo Hamilton, Tatiana A. Vishnivetskaya, et al.. (2009). Integrating engineering design improvements with exoelectrogen enrichment process to increase power output from microbial fuel cells. Journal of Power Sources. 191(2). 520–527. 78 indexed citations

20.

Borole, Abhijeet P., et al.. (2009). Improving power production in acetate-fed microbial fuel cells via enrichment of exoelectrogenic organisms in flow-through systems. Biochemical Engineering Journal. 48(1). 71–80. 100 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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