Sharon C. Long

789 total citations
36 papers, 599 citations indexed

About

Sharon C. Long is a scholar working on Water Science and Technology, Health, Toxicology and Mutagenesis and Infectious Diseases. According to data from OpenAlex, Sharon C. Long has authored 36 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Water Science and Technology, 10 papers in Health, Toxicology and Mutagenesis and 9 papers in Infectious Diseases. Recurrent topics in Sharon C. Long's work include Fecal contamination and water quality (12 papers), Viral gastroenteritis research and epidemiology (8 papers) and Water Treatment and Disinfection (7 papers). Sharon C. Long is often cited by papers focused on Fecal contamination and water quality (12 papers), Viral gastroenteritis research and epidemiology (8 papers) and Water Treatment and Disinfection (7 papers). Sharon C. Long collaborates with scholars based in United States, China and Germany. Sharon C. Long's co-authors include Mark D. Sobsey, Jeanine D. Plummer, Dana Cole, Jan Vinjé, Jill R. Stewart, Liu Zong, Troy Runge, David W. Ostendorf, C. Michael Swindoll and C. Marjorie Aelion and has published in prestigious journals such as Environmental Science & Technology, Applied and Environmental Microbiology and Water Research.

In The Last Decade

Sharon C. Long

31 papers receiving 562 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sharon C. Long United States 13 309 202 152 97 85 36 599
Marie-Paule Caprais France 13 393 1.3× 152 0.8× 122 0.8× 90 0.9× 67 0.8× 20 648
Megan Devane New Zealand 15 264 0.9× 220 1.1× 109 0.7× 69 0.7× 47 0.6× 29 649
Donna Ferguson United States 12 428 1.4× 179 0.9× 111 0.7× 140 1.4× 62 0.7× 16 773
Emily Viau United States 11 293 0.9× 228 1.1× 150 1.0× 55 0.6× 116 1.4× 12 783
Dan Williams United States 7 408 1.3× 114 0.6× 233 1.5× 184 1.9× 41 0.5× 8 782
J. M. López-Pila Germany 11 255 0.8× 332 1.6× 73 0.5× 61 0.6× 51 0.6× 24 660
Ari Kauppinen Finland 17 197 0.6× 340 1.7× 106 0.7× 58 0.6× 76 0.9× 30 739
Weiping Chu United States 13 347 1.1× 322 1.6× 159 1.0× 80 0.8× 33 0.4× 22 807
David E. John United States 12 175 0.6× 123 0.6× 160 1.1× 95 1.0× 30 0.4× 16 577
Belinda S. McSwain United States 4 462 1.5× 187 0.9× 76 0.5× 164 1.7× 42 0.5× 8 623

Countries citing papers authored by Sharon C. Long

Since Specialization
Citations

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

Fields of papers citing papers by Sharon C. Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sharon C. Long. 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 Sharon C. Long. The network helps show where Sharon C. Long may publish in the future.

Co-authorship network of co-authors of Sharon C. Long

This figure shows the co-authorship network connecting the top 25 collaborators of Sharon C. Long. A scholar is included among the top collaborators of Sharon C. Long 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 Sharon C. Long. Sharon C. Long 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.
2.
Zong, Liu, et al.. (2017). Centrifuge separation effect on bacterial indicator reduction in dairy manure. Journal of Environmental Management. 191. 268–274. 27 indexed citations
3.
Long, Sharon C., et al.. (2016). Bench‐scale Analysis of Surrogates for Anaerobic Digestion Processes. Water Environment Research. 88(5). 458–467. 4 indexed citations
4.
Plummer, Jeanine D., et al.. (2014). Torque Teno Virus Occurrence and Relationship to Bacterial and Viral Indicators in Feces, Wastewaters, and Waters in the United States. Environmental Engineering Science. 31(12). 671–680. 5 indexed citations
5.
Long, Sharon C.. (2014). Direct and indirect challenges for water quality from the hydraulic fracturing industry. American Water Works Association. 106(11). 53–57. 6 indexed citations
6.
Plummer, Jeanine D., et al.. (2014). Bacterial and viral indicators of fecal contamination in drinking water. American Water Works Association. 106(4). 9 indexed citations
7.
Long, Sharon C., et al.. (2013). A Comparison of Rapid Bacterial Methods to U.S. EPA‐Approved Methods for Biosolids. Water Environment Research. 85(7). 643–649. 3 indexed citations
8.
Long, Sharon C., et al.. (2013). Foaming Phenomenon in Bench‐Scale Anaerobic Digesters. Water Environment Research. 85(4). 363–373. 6 indexed citations
9.
Meeroff, Daniel E., et al.. (2013). The Use of Multiple Tracers to Evaluate the Impact of Sewered and Non‐Sewered Development on Coastal Water Quality in a Rural Area of Florida. Water Environment Research. 86(5). 445–456. 6 indexed citations
10.
Long, Sharon C., et al.. (2012). Characterization of paper mill effluent using indicators and source tracking methods. American Water Works Association. 104(3). 2 indexed citations
11.
Long, Sharon C. & Jeanine D. Plummer. (2012). Occurrence of Torque Teno Virus in Feces, Wastewater, Source Water and Drinking Water. Proceedings of the Water Environment Federation. 2012(15). 1914–1918.
12.
Bloetscher, Frederick, et al.. (2010). Resolving Problematic Biofilms in Buildings and Compounds. Environmental Engineering Science. 27(9). 767–776. 3 indexed citations
13.
Plummer, Jeanine D., et al.. (2008). Torque teno virus: an improved indicator for viral pathogens in drinking waters. Virology Journal. 5(1). 112–112. 38 indexed citations
14.
Plummer, Jeanine D. & Sharon C. Long. (2007). Monitoring source water for microbial contamination: Evaluation of water quality measures. Water Research. 41(16). 3716–3728. 41 indexed citations
15.
Long, Sharon C., et al.. (2005). An optimized enumeration method for sorbitol-fermenting Bifidobacteria in water samples. Canadian Journal of Microbiology. 51(5). 413–422. 12 indexed citations
16.
Long, Sharon C., et al.. (2005). Assessment of Sources and Diversity of Male-Specific Coliphages for Source Tracking. Environmental Engineering Science. 22(3). 367–377. 38 indexed citations
17.
Long, Sharon C. & Jeanine D. Plummer. (2004). ASSESSING LAND USE IMPACTS ON WATER QUALITY USING MICROBIAL SOURCE TRACKING1. JAWRA Journal of the American Water Resources Association. 40(6). 1433–1448. 14 indexed citations
18.
Long, Sharon C., et al.. (2000). WATERSHED TESTING FOR SOURCE-SPECIFIC INDICATOR ORGANISMS. Proceedings of the Water Environment Federation. 2000(6). 687–696. 1 indexed citations
19.
Long, Sharon C., et al.. (1999). Metabolite Formation and Toxicity Measurements in Evaluating Bioremediation of a Jet-Fuel-Contaminated Aquifer. Applied Biochemistry and Biotechnology. 76(2). 79–98. 12 indexed citations
20.
Ostendorf, David W., et al.. (1996). Aerobic Biodegradation of Petroleum-Contaminated Soil: Simulations from Soil Microcosms. Transportation Research Record Journal of the Transportation Research Board. 1546. 121–130. 2 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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