Angela Minard-Smith

690 total citations
12 papers, 495 citations indexed

About

Angela Minard-Smith is a scholar working on Molecular Biology, Pollution and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Angela Minard-Smith has authored 12 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Pollution and 4 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Angela Minard-Smith's work include Microbial bioremediation and biosurfactants (4 papers), Molecular Biology Techniques and Applications (3 papers) and Toxic Organic Pollutants Impact (3 papers). Angela Minard-Smith is often cited by papers focused on Microbial bioremediation and biosurfactants (4 papers), Molecular Biology Techniques and Applications (3 papers) and Toxic Organic Pollutants Impact (3 papers). Angela Minard-Smith collaborates with scholars based in United States. Angela Minard-Smith's co-authors include Seth A. Faith, Donald M. Stoeckel, Rachel R. Spurbeck, Robert Atlas, Mark J. Benotti, Brian Young, Daniel M. Bornman, M L Dickens, Nur A. Hasan and Seon Young Choi and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Angela Minard-Smith

12 papers receiving 479 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Angela Minard-Smith United States 8 198 138 115 83 74 12 495
Sarah J. Spencer United States 10 266 1.3× 86 0.6× 160 1.4× 69 0.8× 26 0.4× 12 560
Xubo Qian China 7 370 1.9× 65 0.5× 153 1.3× 53 0.6× 22 0.3× 9 756
Scott Coutts Australia 9 126 0.6× 85 0.6× 102 0.9× 38 0.5× 32 0.4× 11 522
Matthew J. Hoostal United States 11 340 1.7× 124 0.9× 209 1.8× 115 1.4× 33 0.4× 13 770
Yumi Shimomura Japan 15 197 1.0× 213 1.5× 227 2.0× 101 1.2× 16 0.2× 25 781
Lyriam L. R. Marques Canada 6 178 0.9× 81 0.6× 51 0.4× 54 0.7× 20 0.3× 8 451
Iris Plumeier Germany 15 390 2.0× 79 0.6× 277 2.4× 117 1.4× 20 0.3× 22 787
Silke Kirchen Germany 10 155 0.8× 313 2.3× 127 1.1× 44 0.5× 9 0.1× 11 633
Drishti Kaul United States 12 149 0.8× 70 0.5× 205 1.8× 71 0.9× 14 0.2× 17 548
Laura Lebrun Luxembourg 10 448 2.3× 51 0.4× 245 2.1× 39 0.5× 42 0.6× 15 680

Countries citing papers authored by Angela Minard-Smith

Since Specialization
Citations

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

Fields of papers citing papers by Angela Minard-Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Angela Minard-Smith. 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 Angela Minard-Smith. The network helps show where Angela Minard-Smith may publish in the future.

Co-authorship network of co-authors of Angela Minard-Smith

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

All Works

12 of 12 papers shown
1.
Spurbeck, Rachel R., et al.. (2023). Analysis of metatranscriptomic methods to enable wastewater-based biosurveillance of all infectious diseases. Frontiers in Public Health. 11. 1145275–1145275. 6 indexed citations
2.
Mukherjee, Chiranjit, et al.. (2023). UltraSEQ, a Universal Bioinformatic Platform for Information-Based Clinical Metagenomics and Beyond. Microbiology Spectrum. 11(3). e0416022–e0416022. 5 indexed citations
4.
Spurbeck, Rachel R., et al.. (2021). Feasibility of neighborhood and building scale wastewater-based genomic epidemiology for pathogen surveillance. The Science of The Total Environment. 789. 147829–147829. 61 indexed citations
5.
Scheible, Melissa, Christopher Williams, Rebecca S. Just, et al.. (2020). Sequence-based autosomal STR characterization in four US populations using PowerSeq™ Auto/Y system. Forensic Science International Genetics. 48. 102311–102311. 13 indexed citations
7.
Kucharzyk, Katarzyna H., et al.. (2019). Use of omic tools to assess methyl tert-butyl ether (MTBE) degradation in groundwater. Journal of Hazardous Materials. 378. 120618–120618. 13 indexed citations
9.
Wang, Jian, Yan Ding, Donald M. Stoeckel, et al.. (2016). Biodegradation of dispersed Macondo crude oil by indigenous Gulf of Mexico microbial communities. The Science of The Total Environment. 557-558. 453–468. 69 indexed citations
10.
Atlas, Robert, et al.. (2015). Oil Biodegradation and Oil-Degrading Microbial Populations in Marsh Sediments Impacted by Oil from the Deepwater Horizon Well Blowout. Environmental Science & Technology. 49(14). 8356–8366. 87 indexed citations
11.
Hasan, Nur A., Brian Young, Angela Minard-Smith, et al.. (2014). Microbial Community Profiling of Human Saliva Using Shotgun Metagenomic Sequencing. PLoS ONE. 9(5). e97699–e97699. 155 indexed citations
12.
Bornman, Daniel M., Mark E. Hester, Jared Schuetter, et al.. (2012). Short-read, high-throughput sequencing technology for STR genotyping. BioTechniques. 2012. 1–6. 73 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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