Jade Mitchell

1.3k total citations
62 papers, 818 citations indexed

About

Jade Mitchell is a scholar working on Health, Toxicology and Mutagenesis, Endocrinology and Infectious Diseases. According to data from OpenAlex, Jade Mitchell has authored 62 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Health, Toxicology and Mutagenesis, 10 papers in Endocrinology and 9 papers in Infectious Diseases. Recurrent topics in Jade Mitchell's work include Water Treatment and Disinfection (10 papers), Legionella and Acanthamoeba research (8 papers) and Fecal contamination and water quality (8 papers). Jade Mitchell is often cited by papers focused on Water Treatment and Disinfection (10 papers), Legionella and Acanthamoeba research (8 papers) and Fecal contamination and water quality (8 papers). Jade Mitchell collaborates with scholars based in United States, Australia and Canada. Jade Mitchell's co-authors include Andrew J. Whelton, A. Pouyan Nejadhashemi, Mark H. Weir, Maryam Salehi, Umesh Adhikari, Joan B. Rose, D. C. Dragon, Christian Ley, Tiong Gim Aw and Kyungyeon Ra and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Jade Mitchell

58 papers receiving 794 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jade Mitchell United States 17 308 135 121 116 116 62 818
David Cunliffe Australia 14 115 0.4× 68 0.5× 17 0.1× 39 0.3× 94 0.8× 29 919
Alexander Cabaj Austria 14 251 0.8× 85 0.6× 78 0.6× 88 0.8× 34 0.3× 35 863
Timothy A. Bartrand United States 17 346 1.1× 120 0.9× 280 2.3× 107 0.9× 246 2.1× 51 1.4k
Amina K. Stoddart Canada 14 238 0.8× 38 0.3× 36 0.3× 72 0.6× 68 0.6× 48 656
Zia Bukhari United States 21 346 1.1× 253 1.9× 58 0.5× 82 0.7× 55 0.5× 41 1.3k
William J. Rhoads United States 18 589 1.9× 520 3.9× 44 0.4× 280 2.4× 103 0.9× 40 1.0k
Matthew E. Verbyla United States 20 99 0.3× 31 0.2× 27 0.2× 69 0.6× 106 0.9× 45 1.3k
João Brandão Portugal 17 364 1.2× 72 0.5× 24 0.2× 125 1.1× 108 0.9× 54 1.1k
Michael A. Jahne United States 19 171 0.6× 32 0.2× 50 0.4× 94 0.8× 101 0.9× 43 796
Heather Murphy United States 22 248 0.8× 92 0.7× 8 0.1× 39 0.3× 240 2.1× 62 1.4k

Countries citing papers authored by Jade Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by Jade Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jade Mitchell

This figure shows the co-authorship network connecting the top 25 collaborators of Jade Mitchell. A scholar is included among the top collaborators of Jade Mitchell 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 Jade Mitchell. Jade Mitchell 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.
Bergholz, Teresa M., et al.. (2024). A meta‐analysis of factors influencing the inactivation of Shiga toxin‐producing Escherichia coli O157:H7 in leafy greens. Comprehensive Reviews in Food Science and Food Safety. 23(5). e70012–e70012. 1 indexed citations
2.
Bergholz, Teresa M., et al.. (2024). A review of conditions influencing fate of Shiga toxin‐producing Escherichia coli O157:H7 in leafy greens. Comprehensive Reviews in Food Science and Food Safety. 23(5). e70013–e70013. 2 indexed citations
3.
Lee, Juneseok, et al.. (2023). Modeling water age in a full‐scale residential plumbing system. AWWA Water Science. 5(3). 4 indexed citations
4.
Kossik, Alexandra L., Nicola K. Beck, Nicolette A. Zhou, et al.. (2022). Persistence of poliovirus types 2 and 3 in waste-impacted water and sediment. PLoS ONE. 17(1). e0262761–e0262761. 6 indexed citations
5.
Nejadhashemi, A. Pouyan, et al.. (2022). A machine learning framework for predicting downstream water end-use events with upstream sensors. Water Science & Technology Water Supply. 22(7). 6427–6442. 3 indexed citations
6.
Saravi, Babak, et al.. (2022). Identifying water quality variables most strongly influencing Legionella concentrations in building plumbing. AWWA Water Science. 4(1). 9 indexed citations
7.
Mitchell, Jade, et al.. (2022). Identifying water quality and environmental factors that influence indicator and pathogen decay in natural surface waters. Water Research. 211. 118051–118051. 30 indexed citations
8.
Morrow, Jayne B., Aaron I. Packman, Kenneth Martinez, et al.. (2021). Critical Capability Needs for Reduction of Transmission of SARS-CoV-2 Indoors. Frontiers in Bioengineering and Biotechnology. 9. 641599–641599. 3 indexed citations
9.
Guo, Xueping, et al.. (2021). Distribution of antimicrobial resistance across the overall environment of dairy farms – A case study. The Science of The Total Environment. 788. 147489–147489. 21 indexed citations
10.
Wan, Ching Shan, Jade Mitchell, & Andrea B. Maier. (2020). A Multidisciplinary, Community-Based Program to Reduce Unplanned Hospital Admissions. Journal of the American Medical Directors Association. 22(6). 1331.e1–1331.e9. 7 indexed citations
11.
Hernandez‐Suarez, J. Sebastian, et al.. (2019). Modeling the persistence of viruses in untreated groundwater. The Science of The Total Environment. 717. 134599–134599. 12 indexed citations
12.
Mitchell, Jade, et al.. (2018). Understanding the Impact of Fluid Viscosity on the Growth and Conjugation of Antimicrobial Resistant Donors and Recipients Pairs. Digital Scholarship - UNLV (University of Nevada Reno). 12(4). 37. 1 indexed citations
13.
14.
Salehi, Maryam, Mohammad Abouali, Mian Wang, et al.. (2017). Case study: Fixture water use and drinking water quality in a new residential green building. Chemosphere. 195. 80–89. 46 indexed citations
15.
Weir, Mark H., et al.. (2016). Development of a microbial dose response visualization and modelling application for QMRA modelers and educators. Environmental Modelling & Software. 88. 74–83. 13 indexed citations
16.
Aslan, Aslı, et al.. (2015). Analysis of the persistence of enteric markers in sewage polluted water on a solid matrix and in liquid suspension. Water Research. 76. 201–212. 27 indexed citations
17.
Mitchell, Jade, Jon A. Arnot, Olivier Jolliet, et al.. (2013). Comparison of modeling approaches to prioritize chemicals based on estimates of exposure and exposure potential. The Science of The Total Environment. 458-460. 555–567. 34 indexed citations
18.
Mitchell, Jade. (2012). Does using time-varying target leverage ratios in structural credit risk models improve their accuracy?. The Journal of Risk Model Validation.
19.
Mitchell, Jade. (2012). Alternating direction implicit finite difference schemes for the Heston-Hull-White partial differential equation. The Journal of Computational Finance. 38 indexed citations
20.
Mitchell, Jade. (2012). Modeling overnight and daytime returns using a multivariate generalized autoregressive conditional heteroskedasticity copula model. 5 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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