Dan Williams

994 total citations
8 papers, 782 citations indexed

About

Dan Williams is a scholar working on Water Science and Technology, Environmental Engineering and Molecular Biology. According to data from OpenAlex, Dan Williams has authored 8 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Water Science and Technology, 4 papers in Environmental Engineering and 3 papers in Molecular Biology. Recurrent topics in Dan Williams's work include Fecal contamination and water quality (5 papers), Groundwater flow and contamination studies (4 papers) and Water Treatment and Disinfection (2 papers). Dan Williams is often cited by papers focused on Fecal contamination and water quality (5 papers), Groundwater flow and contamination studies (4 papers) and Water Treatment and Disinfection (2 papers). Dan Williams collaborates with scholars based in United States, Canada and France. Dan Williams's co-authors include Alice C. Layton, Gary S. Sayler, Larry D. McKay, Randall W. Gentry, Francis F. Arhin, Pascale Bauda, Mario Callejo, Jinzi J. Wu, John S. McCarty and Michael S. DuBow and has published in prestigious journals such as Nature Biotechnology, Applied and Environmental Microbiology and Journal of Environmental Quality.

In The Last Decade

Dan Williams

8 papers receiving 747 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Williams United States 7 408 272 233 184 114 8 782
Elisenda Ballesté Spain 24 556 1.4× 221 0.8× 385 1.7× 190 1.0× 216 1.9× 38 1.2k
Bruce A. Wiggins United States 10 458 1.1× 120 0.4× 296 1.3× 172 0.9× 76 0.7× 14 997
Nanda Altavilla Australia 7 280 0.7× 170 0.6× 191 0.8× 133 0.7× 94 0.8× 9 808
Weiping Chu United States 13 347 0.9× 93 0.3× 159 0.7× 80 0.4× 322 2.8× 22 807
Deborah K. Dila United States 12 203 0.5× 276 1.0× 180 0.8× 113 0.6× 64 0.6× 18 748
Lisa R. Fogarty United States 13 322 0.8× 90 0.3× 163 0.7× 113 0.6× 68 0.6× 24 709
Belinda S. McSwain United States 4 462 1.1× 62 0.2× 76 0.3× 164 0.9× 187 1.6× 8 623
John E. Whitlock United States 8 873 2.1× 140 0.5× 132 0.6× 277 1.5× 154 1.4× 8 1.3k
Sylvain Skraber France 17 475 1.2× 76 0.3× 222 1.0× 78 0.4× 415 3.6× 20 938
Emily Viau United States 11 293 0.7× 106 0.4× 150 0.6× 55 0.3× 228 2.0× 12 783

Countries citing papers authored by Dan Williams

Since Specialization
Citations

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

Fields of papers citing papers by Dan Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Williams

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

All Works

8 of 8 papers shown
1.
Lytle, Darren A., et al.. (2015). The Full‐Scale Implementation of an Innovative Biological Ammonia Treatment Process. American Water Works Association. 107(12). 4 indexed citations
2.
Bell, Alyssa, Alice C. Layton, Larry D. McKay, et al.. (2009). Factors Influencing the Persistence of Fecal Bacteroides in Stream Water. Journal of Environmental Quality. 38(3). 1224–1232. 60 indexed citations
3.
Hawkins, Shawn A., Alice C. Layton, Steven Ripp, Dan Williams, & Gary S. Sayler. (2008). Genome sequence of the Bacteroides fragilis phage ATCC 51477-B1. Virology Journal. 5(1). 97–97. 23 indexed citations
4.
Gentry, Randall W., Alice C. Layton, Larry D. McKay, et al.. (2007). Efficacy of Bacteroides Measurements for Reducing the Statistical Uncertainty Associated with Hydrologic Flow and Fecal Loads in a Mixed Use Watershed. Journal of Environmental Quality. 36(5). 1324–1330. 19 indexed citations
5.
Layton, Alice C., et al.. (2006). Development of Bacteroides 16S rRNA Gene TaqMan-Based Real-Time PCR Assays for Estimation of Total, Human, and Bovine Fecal Pollution in Water. Applied and Environmental Microbiology. 72(6). 4214–4224. 445 indexed citations
6.
Gentry, Randall W., John F. McCarthy, Alice C. Layton, et al.. (2006). Escherichia coli Loading at or Near Base Flow in a Mixed‐Use Watershed. Journal of Environmental Quality. 35(6). 2244–2249. 36 indexed citations
7.
Layton, Alice C., et al.. (2006). Development of Bacteroides 16S rRNA Gene TaqMan-Based Real-Time PCR Assays for Estimation of Total, Human, and Bovine Fecal Pollution in Water. 72(6). 20 indexed citations
8.
Liu, Jing, Mohammed Dehbi, Greg Moeck, et al.. (2004). Antimicrobial drug discovery through bacteriophage genomics. Nature Biotechnology. 22(2). 185–191. 175 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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