William R. Henson

783 total citations
17 papers, 622 citations indexed

About

William R. Henson is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, William R. Henson has authored 17 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Biomedical Engineering and 2 papers in Genetics. Recurrent topics in William R. Henson's work include Microbial Metabolic Engineering and Bioproduction (12 papers), Biofuel production and bioconversion (10 papers) and Enzyme Catalysis and Immobilization (6 papers). William R. Henson is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (12 papers), Biofuel production and bioconversion (10 papers) and Enzyme Catalysis and Immobilization (6 papers). William R. Henson collaborates with scholars based in United States, Spain and Germany. William R. Henson's co-authors include Tae Seok Moon, Drew M. DeLorenzo, Gautam Dantas, Marcus Foston, Gregg T. Beckham, Austin G. Rottinghaus, Soo Ji Kim, Yinjie Tang, Scott C. Lenaghan and Mary H. Abernathy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Langmuir.

In The Last Decade

William R. Henson

17 papers receiving 619 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William R. Henson United States 13 373 287 109 75 72 17 622
Wayne S. Kontur United States 16 386 1.0× 249 0.9× 149 1.4× 124 1.7× 37 0.5× 19 666
Jason Nichols United States 11 413 1.1× 162 0.6× 79 0.7× 64 0.9× 13 0.2× 14 625
Nicholas R. Sandoval United States 19 1.1k 2.8× 567 2.0× 88 0.8× 27 0.4× 18 0.3× 24 1.2k
Michael Lienemann Finland 14 275 0.7× 103 0.4× 153 1.4× 68 0.9× 17 0.2× 28 626
L. Yu. Matora Russia 16 295 0.8× 189 0.7× 74 0.7× 306 4.1× 20 0.3× 53 740
Gregory M. Newkirk United States 6 208 0.6× 210 0.7× 44 0.4× 163 2.2× 19 0.3× 7 623
Zhengqun Li China 11 165 0.4× 72 0.3× 52 0.5× 25 0.3× 25 0.3× 18 283
Martin Gustavsson Sweden 16 355 1.0× 192 0.7× 44 0.4× 14 0.2× 43 0.6× 25 696
Niju Narayanan Canada 11 301 0.8× 168 0.6× 63 0.6× 15 0.2× 26 0.4× 17 453
Nikita Mukhitov United States 12 194 0.5× 380 1.3× 22 0.2× 53 0.7× 14 0.2× 15 642

Countries citing papers authored by William R. Henson

Since Specialization
Citations

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

Fields of papers citing papers by William R. Henson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William R. Henson. 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 William R. Henson. The network helps show where William R. Henson may publish in the future.

Co-authorship network of co-authors of William R. Henson

This figure shows the co-authorship network connecting the top 25 collaborators of William R. Henson. A scholar is included among the top collaborators of William R. Henson 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 William R. Henson. William R. Henson 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.
Wilson, A. Nolan, et al.. (2023). Biological conversion of cyclic ketones from catalytic fast pyrolysis with Pseudomonas putida KT2440. Green Chemistry. 25(8). 3278–3291. 4 indexed citations
2.
Henson, William R., Nicholas A. Rorrer, Caroline B. Hoyt, et al.. (2022). Bioconversion of wastewater-derived cresols to methyl muconic acids for use in performance-advantaged bioproducts. Green Chemistry. 24(9). 3677–3688. 5 indexed citations
3.
Henson, William R., Lahiru N. Jayakody, Brenna A. Black, et al.. (2021). Biological upgrading of pyrolysis-derived wastewater: Engineering Pseudomonas putida for alkylphenol, furfural, and acetone catabolism and (methyl)muconic acid production. Metabolic Engineering. 68. 14–25. 24 indexed citations
4.
Henson, William R., et al.. (2021). Challenges and opportunities in biological funneling of heterogeneous and toxic substrates beyond lignin. Current Opinion in Biotechnology. 73. 1–13. 48 indexed citations
5.
Frankfater, Cheryl, William R. Henson, Marcus Foston, et al.. (2020). Structural Determination of a New Peptidolipid Family from Rhodococcus opacus and the Pathogen Rhodococcus equi by Multiple Stage Mass Spectrometry. Journal of the American Society for Mass Spectrometry. 31(3). 611–623. 5 indexed citations
6.
Roell, Garrett W., Rhiannon Carr, Tayte Campbell, et al.. (2019). A concerted systems biology analysis of phenol metabolism in Rhodococcus opacus PD630. Metabolic Engineering. 55. 120–130. 44 indexed citations
7.
Henson, William R., Tayte Campbell, Drew M. DeLorenzo, et al.. (2018). Multi-omic elucidation of aromatic catabolism in adaptively evolved Rhodococcus opacus. Metabolic Engineering. 49. 69–83. 58 indexed citations
8.
Henson, William R., Fong‐Fu Hsu, Gautam Dantas, Tae Seok Moon, & Marcus Foston. (2018). Lipid metabolism of phenol-tolerant Rhodococcus opacus strains for lignin bioconversion. Biotechnology for Biofuels. 11(1). 339–339. 28 indexed citations
9.
DeLorenzo, Drew M., Austin G. Rottinghaus, William R. Henson, & Tae Seok Moon. (2018). Molecular Toolkit for Gene Expression Control and Genome Modification inRhodococcus opacusPD630. ACS Synthetic Biology. 7(2). 727–738. 68 indexed citations
10.
Henson, William R., et al.. (2017). Dynamics of sequestration-based gene regulatory cascades. Nucleic Acids Research. 45(12). 7515–7526. 6 indexed citations
11.
DeLorenzo, Drew M., William R. Henson, & Tae Seok Moon. (2017). Development of Chemical and Metabolite Sensors for Rhodococcus opacus PD630. ACS Synthetic Biology. 6(10). 1973–1978. 42 indexed citations
12.
Yoneda, Aki, William R. Henson, Kevin J. Forsberg, et al.. (2016). Comparative transcriptomics elucidates adaptive phenol tolerance and utilization in lipid-accumulatingRhodococcus opacusPD630. Nucleic Acids Research. 44(5). 2240–2254. 90 indexed citations
13.
Henson, William R., et al.. (2015). Robust, tunable genetic memory from protein sequestration combined with positive feedback. Nucleic Acids Research. 43(18). 9086–9094. 32 indexed citations
14.
Hollinshead, Whitney D., William R. Henson, Mary H. Abernathy, Tae Seok Moon, & Yinjie Tang. (2015). Rapid metabolic analysis of Rhodococcus opacus PD630 via parallel 13C‐metabolite fingerprinting. Biotechnology and Bioengineering. 113(1). 91–100. 55 indexed citations
15.
Henson, William R., et al.. (2014). Linker-Free Deposition and Adhesion of Photosystem I onto Nanostructured TiO2 for Biohybrid Photoelectrochemical Cells. Langmuir. 31(5). 1675–1682. 53 indexed citations
16.
Lenaghan, Scott C., et al.. (2011). High-speed microscopic imaging of flagella motility and swimming in Giardia lamblia trophozoites. Proceedings of the National Academy of Sciences. 108(34). E550–8. 34 indexed citations
17.
Zhang, Mingjun, Scott C. Lenaghan, Lijin Xia, et al.. (2010). Nanofibers and nanoparticles from the insect-capturing adhesive of the Sundew (Drosera) for cell attachment. Journal of Nanobiotechnology. 8(1). 20–20. 26 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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