Daniel L. Williams

461 citations
14 papers · 367 · h-index 9

Impact in

    • Biofuel production and bioconversion
    • Catalysis for Biomass Conversion
    • Lignin and Wood Chemistry
    • Advanced Cellulose Research Studies

Papers in

    • Biofuel production and bioconversion 11
    • Catalysis for Biomass Conversion 3
    • Lignin and Wood Chemistry 2
    • Microbial Metabolic Engineering and Bioproduction 7

Daniel L. Williams

12 papers receiving 359 citations

Peers

Daniel L. Williams
Comparison fields: 5 of 46
  • Biomedical Engineering 302
  • Biomaterials 52
  • Biotechnology 25
  • Molecular Biology 156
  • Agronomy and Crop Science 18
Replace Guojun Yue with:
Guojun Yue China
Erenio Gónzalez Suárez Cuba
Marc Sabourin United States
Tim Eggeman Norway
Pradeep Kumar Gandam India
Carolina Conde‐Mejía Mexico
Kyeong Eop Kang South Korea
Sabrina Vieira Brazil
Meenakshi Suhag India
Sankar Vani India
Daniel L. Williams relative to Guojun Yue China Guojun Yue's profile →
Citations per field
00.5×2.8×
Guojun Yue · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Daniel L. Williams, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel L. Williams Line = papers co-authored together Daniel L. Williams links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 201199
2 201351
3 201449
4 201339
5 201635
6 201529
7 201727
8 200112
9 20148
10 20197
11 20167
12 20193
13 20141
14 20180

About Daniel L. Williams

Daniel L. Williams is a scholar working on Biomedical Engineering, Molecular Biology, Food Science, General Health Professions and Sociology and Political Science, having authored 14 papers that have together received 367 indexed citations. Recurring topics across this work include Biofuel production and bioconversion (11 papers), Microbial Metabolic Engineering and Bioproduction (7 papers), Catalysis for Biomass Conversion (3 papers), Lignin and Wood Chemistry (2 papers), Fermentation and Sensory Analysis (2 papers), Enzyme-mediated dye degradation (1 paper), Hermeneutics and Narrative Identity (1 paper) and Health, Medicine and Society (1 paper). The work is most often cited by research in Biomedical Engineering (302 citations), Biomaterials (52 citations), Biotechnology (25 citations), Molecular Biology (156 citations) and Agronomy and Crop Science (18 citations). Daniel L. Williams has collaborated with scholars based in United States, Sweden and China. Frequent co-authors include David B. Hodge, Tongjun Liu, Goutami Banerjee, Jonathan D. Walton, Suzana Car, Muyang Li, Rebecca G. Ong, Sivakumar Pattathil, Michael G. Hahn and Shawn M. Kaeppler. Their work appears in journals such as Bioresource Technology, Frontiers in Energy Research, Biotechnology and Bioengineering, Cellulose and BioEnergy Research.

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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