Daniel L. Williams

457 total citations
14 papers, 361 citations indexed

About

Daniel L. Williams is a scholar working on Biomedical Engineering, Molecular Biology and Biotechnology. According to data from OpenAlex, Daniel L. Williams has authored 14 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 7 papers in Molecular Biology and 2 papers in Biotechnology. Recurrent topics in Daniel L. Williams's work include Biofuel production and bioconversion (11 papers), Microbial Metabolic Engineering and Bioproduction (7 papers) and Catalysis for Biomass Conversion (3 papers). Daniel L. Williams is often cited by papers focused on Biofuel production and bioconversion (11 papers), Microbial Metabolic Engineering and Bioproduction (7 papers) and Catalysis for Biomass Conversion (3 papers). Daniel L. Williams collaborates with scholars based in United States, Sweden and China. Daniel L. Williams's co-authors include David B. Hodge, Tongjun Liu, Suzana Car, Goutami Banerjee, Jonathan D. Walton, Muyang Li, Michael G. Hahn, Sivakumar Pattathil, Rebecca G. Ong and Shawn M. Kaeppler and has published in prestigious journals such as Applied and Environmental Microbiology, Bioresource Technology and Journal of Experimental Botany.

In The Last Decade

Daniel L. Williams

12 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel L. Williams United States 9 309 168 51 48 28 14 361
Guojun Yue China 9 305 1.0× 175 1.0× 51 1.0× 49 1.0× 49 1.8× 16 356
Marc Sabourin United States 8 293 0.9× 168 1.0× 82 1.6× 50 1.0× 44 1.6× 22 408
Tim Eggeman Norway 4 459 1.5× 243 1.4× 66 1.3× 32 0.7× 44 1.6× 6 507
Mai Østergaard Haven Denmark 8 446 1.4× 273 1.6× 83 1.6× 58 1.2× 95 3.4× 8 479
Anil Kumar Dhaka India 5 313 1.0× 148 0.9× 72 1.4× 61 1.3× 37 1.3× 13 394
Meenakshi Suhag India 4 332 1.1× 153 0.9× 73 1.4× 35 0.7× 35 1.3× 7 393
Kyeong Eop Kang South Korea 8 360 1.2× 203 1.2× 54 1.1× 29 0.6× 29 1.0× 10 394
Jeung‐yil Park Japan 10 315 1.0× 215 1.3× 38 0.7× 43 0.9× 59 2.1× 21 351
Magnus Wiman Sweden 6 344 1.1× 189 1.1× 95 1.9× 35 0.7× 50 1.8× 6 370
Pogaku Ravindra Malaysia 8 356 1.2× 246 1.5× 36 0.7× 34 0.7× 54 1.9× 11 445

Countries citing papers authored by Daniel L. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Daniel L. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel L. Williams. 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 Daniel L. Williams. The network helps show where Daniel L. Williams may publish in the future.

Co-authorship network of co-authors of Daniel L. Williams

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

All Works

14 of 14 papers shown
1.
Li, Muyang, et al.. (2019). Alkaline and Alkaline-Oxidative Pretreatment and Hydrolysis of Herbaceous Biomass for Growth of Oleaginous Microbes. Methods in molecular biology. 1995. 173–182. 3 indexed citations
2.
Williams, Daniel L., Rebecca G. Ong, John E. Mullet, & David B. Hodge. (2019). Integration of Pretreatment With Simultaneous Counter-Current Extraction of Energy Sorghum for High-Titer Mixed Sugar Production. Frontiers in Energy Research. 6. 7 indexed citations
3.
Williams, Daniel L.. (2018). The Messianic Zeal: A Case of Radical Aesthetics in Black Cultural Production. VCU Scholars Compass (Virginia Commonwealth University). 5(1). 104–122.
4.
Williams, Daniel L., et al.. (2017). Water sorption in pretreated grasses as a predictor of enzymatic hydrolysis yields. Bioresource Technology. 245(Pt A). 242–249. 26 indexed citations
5.
Stoklosa, Ryan J., Leonardo da Costa Sousa, Nirmal Uppugundla, et al.. (2016). Techno-economic comparison of centralized versus decentralized biorefineries for two alkaline pretreatment processes. Bioresource Technology. 226. 9–17. 34 indexed citations
6.
Li, Muyang, Daniel L. Williams, Marlies Heckwolf, et al.. (2016). Prediction of Cell Wall Properties and Response to Deconstruction Using Alkaline Pretreatment in Diverse Maize Genotypes Using Py-MBMS and NIR. BioEnergy Research. 10(2). 329–343. 7 indexed citations
7.
Li, Muyang, Marlies Heckwolf, Daniel L. Williams, et al.. (2015). Cell-wall properties contributing to improved deconstruction by alkaline pre-treatment and enzymatic hydrolysis in diverse maize (Zea maysL.) lines. Journal of Experimental Botany. 66(14). 4305–4315. 29 indexed citations
8.
Liu, Tongjun, Daniel L. Williams, Sivakumar Pattathil, et al.. (2014). Coupling alkaline pre-extraction with alkaline-oxidative post-treatment of corn stover to enhance enzymatic hydrolysis and fermentability. Biotechnology for Biofuels. 7(1). 48–48. 47 indexed citations
9.
Scott, Felipe, Muyang Li, Daniel L. Williams, et al.. (2014). Corn stover semi-mechanistic enzymatic hydrolysis model with tight parameter confidence intervals for model-based process design and optimization. Bioresource Technology. 177. 255–265. 8 indexed citations
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12.
Sato, Trey K., Tongjun Liu, Lucas S. Parreiras, et al.. (2013). Harnessing Genetic Diversity in Saccharomyces cerevisiae for Fermentation of Xylose in Hydrolysates of Alkaline Hydrogen Peroxide-Pretreated Biomass. Applied and Environmental Microbiology. 80(2). 540–554. 39 indexed citations
13.
Banerjee, Goutami, Suzana Car, Tongjun Liu, et al.. (2011). Scale‐up and integration of alkaline hydrogen peroxide pretreatment, enzymatic hydrolysis, and ethanolic fermentation. Biotechnology and Bioengineering. 109(4). 922–931. 97 indexed citations
14.
Williams, Daniel L., et al.. (2001). Discrete simulation development for a proposed shipyard steel processing facility. Winter Simulation Conference. 2. 882–887. 12 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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