Daniel J. Williams

580 total citations
29 papers, 440 citations indexed

About

Daniel J. Williams is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Environmental Engineering. According to data from OpenAlex, Daniel J. Williams has authored 29 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Health, Toxicology and Mutagenesis, 8 papers in Pollution and 6 papers in Environmental Engineering. Recurrent topics in Daniel J. Williams's work include Water Treatment and Disinfection (9 papers), Chemical Analysis and Environmental Impact (4 papers) and Microbial Fuel Cells and Bioremediation (3 papers). Daniel J. Williams is often cited by papers focused on Water Treatment and Disinfection (9 papers), Chemical Analysis and Environmental Impact (4 papers) and Microbial Fuel Cells and Bioremediation (3 papers). Daniel J. Williams collaborates with scholars based in United States, Ghana and France. Daniel J. Williams's co-authors include James W. Brown, Darren A. Lytle, Daniel N. Frank, J. Kirk Harris, William H. Wallace, Marilyn Owens, Stephen Harmon, A. Hollinger, Michael R. Schock and Christina Bennett‐Stamper and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Water Research.

In The Last Decade

Daniel J. Williams

29 papers receiving 408 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 J. Williams United States 11 191 95 70 53 52 29 440
Renjie Pan China 13 149 0.8× 51 0.5× 28 0.4× 104 2.0× 21 0.4× 32 409
Fubo Yu China 12 66 0.3× 149 1.6× 160 2.3× 35 0.7× 34 0.7× 19 726
Qiannan Duan China 10 67 0.4× 36 0.4× 156 2.2× 60 1.1× 35 0.7× 27 402
Stephan Christel Sweden 14 33 0.2× 87 0.9× 63 0.9× 109 2.1× 71 1.4× 27 516
Zhongyu Guo China 13 99 0.5× 28 0.3× 257 3.7× 154 2.9× 21 0.4× 33 576
Nan Wei China 11 82 0.4× 64 0.7× 190 2.7× 128 2.4× 47 0.9× 33 438
Courtney M. Gardner United States 10 71 0.4× 63 0.7× 149 2.1× 56 1.1× 26 0.5× 23 371
Panpan Li China 14 33 0.2× 37 0.4× 100 1.4× 55 1.0× 33 0.6× 26 390
Nadia Afsheen Pakistan 6 74 0.4× 48 0.5× 129 1.8× 47 0.9× 32 0.6× 9 340

Countries citing papers authored by Daniel J. Williams

Since Specialization
Citations

This map shows the geographic impact of Daniel J. 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 J. 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 J. Williams more than expected).

Fields of papers citing papers by Daniel J. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

20 of 20 papers shown
1.
Gomez‐Alvarez, Vicente, et al.. (2024). Vertical stratification of the water microbiome in an electric water heater tank: implications for premise plumbing opportunistic pathogens. Journal of Water and Health. 22(12). 2346–2357. 2 indexed citations
2.
Gomez‐Alvarez, Vicente, Hodon Ryu, Min Tang, et al.. (2023). Assessing residential activity in a home plumbing system simulator: monitoring the occurrence and relationship of major opportunistic pathogens and phagocytic amoebas. Frontiers in Microbiology. 14. 1260460–1260460. 4 indexed citations
3.
Gomez‐Alvarez, Vicente, et al.. (2023). Depth profiles of biological aerated contactors: Characterizing microbial activity treating reduced contaminants. Journal of Water Process Engineering. 56. 104360–104360. 3 indexed citations
4.
Lytle, Darren A., et al.. (2023). Removal of strontium by ion exchange and lime softening at eight drinking water treatment plants. Environmental Science Water Research & Technology. 9(8). 2140–2151. 3 indexed citations
5.
Ryu, Hodon, Vicente Gomez‐Alvarez, Stephen Harmon, et al.. (2023). Comprehensive characterization of aerobic groundwater biotreatment media. Water Research. 230. 119587–119587. 3 indexed citations
6.
Doré, Evelyne, et al.. (2021). Effectiveness of point-of-use and pitcher filters at removing lead phosphate nanoparticles from drinking water. Water Research. 201. 117285–117285. 21 indexed citations
7.
Lytle, Darren A., et al.. (2020). Synthesis and characterization of stable lead (II) orthophosphate nanoparticle suspensions. Journal of Environmental Science and Health Part A. 55(13). 1504–1512. 8 indexed citations
8.
Lytle, Darren A., et al.. (2020). The removal of ammonia, arsenic, iron and manganese by biological treatment from a small Iowa drinking water system. Environmental Science Water Research & Technology. 6(11). 3142–3156. 8 indexed citations
9.
Williams, Daniel J. & James W. Brown. (2017). Archaeal Diversity in a Municipal Wastewater Sludge. SHILAP Revista de lepidopterología. 1(2). 30–33. 2 indexed citations
10.
Smith, Levi M., et al.. (2015). High-throughput screening system for inhibitors of human Heat Shock Factor 2. Cell Stress and Chaperones. 20(5). 833–841. 3 indexed citations
11.
Lytle, Darren A., et al.. (2013). Innovative biological water treatment for the removal of elevated ammonia. American Water Works Association. 105(9). 19 indexed citations
12.
Schenck, Kathleen M., Laura Rosenblum, Thomas Wiese, et al.. (2011). Removal of estrogens and estrogenicity through drinking water treatment. Journal of Water and Health. 10(1). 43–55. 16 indexed citations
13.
Williams, Daniel J., et al.. (2009). The impact of temperature on the performance of anaerobic biological treatment of perchlorate in drinking water. Water Research. 43(7). 1867–1878. 18 indexed citations
14.
Williams, Daniel J., et al.. (2009). Aluminium sulfate and sodium aluminate buffer solutions for the destruction of phosphorus based chemical warfare agents. New Journal of Chemistry. 33(5). 1006–1006. 1 indexed citations
15.
Mitra, Amitabha, David A. Atwood, Daniel J. Williams, et al.. (2008). Group 13 chelates in nerve gas agent and pesticide dealkylation. New Journal of Chemistry. 32(5). 783–783. 10 indexed citations
16.
17.
Williams, Daniel J., et al.. (2004). Removal of Cryptosporidium by in-line filtration: effects of coagulant type, filter loading rate and temperature. Journal of Water Supply Research and Technology—AQUA. 53(1). 1–15. 4 indexed citations
18.
Williams, Daniel J. & James W. Brown. (2003). In vitro selection of an archaeal RNase P RNA mimics natural variation. Archaea. 1(4). 241–245. 3 indexed citations
19.
Williams, Daniel J., et al.. (2002). 1-Methyl-3-alkyl-2(3H)imidazolethione Complexes of Metal Halides: A Thematic-Ligand Approach to Involve Undergraduates in Research Projects. The Chemical Educator. 7(3). 167–172. 10 indexed citations
20.
Harris, J. Kirk, et al.. (2001). New insight into RNase P RNA structure from comparative analysis of the archaeal RNA. RNA. 7(2). 220–232. 86 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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