Shuiquan Tang

1.6k total citations
31 papers, 933 citations indexed

About

Shuiquan Tang is a scholar working on Molecular Biology, Ecology and Pollution. According to data from OpenAlex, Shuiquan Tang has authored 31 papers receiving a total of 933 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Ecology and 8 papers in Pollution. Recurrent topics in Shuiquan Tang's work include Microbial Community Ecology and Physiology (9 papers), Microbial bioremediation and biosurfactants (8 papers) and Nail Diseases and Treatments (5 papers). Shuiquan Tang is often cited by papers focused on Microbial Community Ecology and Physiology (9 papers), Microbial bioremediation and biosurfactants (8 papers) and Nail Diseases and Treatments (5 papers). Shuiquan Tang collaborates with scholars based in Canada, United States and China. Shuiquan Tang's co-authors include Elizabeth A. Edwards, Joshua Quick, Nicholas J. Loman, Samuel M. Nicholls, Janina A. Krumbeck, Frank E. Löffler, Zisheng Zhang, Xiaoming Liang, Bruce Taylor and Andrew L. Bognar and has published in prestigious journals such as Journal of Biological Chemistry, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Shuiquan Tang

31 papers receiving 920 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuiquan Tang Canada 17 439 263 207 172 155 31 933
Lina Boulos United States 5 286 0.7× 152 0.6× 139 0.7× 208 1.2× 195 1.3× 10 1.1k
Shama Sehar Pakistan 15 374 0.9× 188 0.7× 124 0.6× 90 0.5× 71 0.5× 27 959
Sadhana Chauhan United States 17 297 0.7× 266 1.0× 143 0.7× 84 0.5× 84 0.5× 35 824
В. К. Плакунов Russia 17 537 1.2× 126 0.5× 186 0.9× 36 0.2× 69 0.4× 65 985
Martin Tay Singapore 12 443 1.0× 365 1.4× 300 1.4× 166 1.0× 99 0.6× 14 1.0k
Shiwei Wang China 22 737 1.7× 148 0.6× 338 1.6× 71 0.4× 114 0.7× 66 1.5k
Wen Yin China 13 660 1.5× 93 0.4× 196 0.9× 39 0.2× 153 1.0× 24 1.2k
L Chu United States 14 644 1.5× 167 0.6× 165 0.8× 421 2.4× 129 0.8× 17 1.5k
Yaligara Veeranagouda South Korea 17 365 0.8× 191 0.7× 86 0.4× 76 0.4× 139 0.9× 38 811
Stuart M. Thomas United States 13 943 2.1× 193 0.7× 239 1.2× 63 0.4× 170 1.1× 13 1.3k

Countries citing papers authored by Shuiquan Tang

Since Specialization
Citations

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

Fields of papers citing papers by Shuiquan Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuiquan Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Shuiquan Tang. A scholar is included among the top collaborators of Shuiquan Tang 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 Shuiquan Tang. Shuiquan Tang 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.
Tang, Shuiquan, et al.. (2024). Brief overview of the impact of thermal stress on the reliability of through silicon via: Analysis, characterization, and enhancement. Materials Science in Semiconductor Processing. 183. 108745–108745. 15 indexed citations
2.
3.
Harvey, Richard G., et al.. (2023). Quantifying the mycobiome and its major constituents on the skin of 20 normal dogs. American Journal of Veterinary Research. 84(10). 1–5. 1 indexed citations
4.
Harvey, Richard G., et al.. (2023). Quantification of the bacterial flora and its major constituents on the abdominal skin of clinically healthy dogs. American Journal of Veterinary Research. 84(10). 1–6. 1 indexed citations
5.
Burton, Maria, Janina A. Krumbeck, Guangxi Wu, et al.. (2022). The adult microbiome of healthy and otitis patients: Definition of the core healthy and diseased ear microbiomes. PLoS ONE. 17(1). e0262806–e0262806. 19 indexed citations
6.
Holden, Natasha, et al.. (2022). Comparison of ear canal microbiome in rabbits with and without otitis externa using next generation DNA sequencing. Journal of Exotic Pet Medicine. 42. 35–41. 7 indexed citations
7.
Melgarejo, Tonatiuh, et al.. (2021). Assessment of bacterial and fungal populations in urine from clinically healthy dogs using next-generation sequencing. Journal of Veterinary Internal Medicine. 35(3). 1416–1426. 18 indexed citations
8.
Niemiec, Brook A., et al.. (2021). The mycobiome of the oral cavity in healthy dogs and dogs with periodontal disease. American Journal of Veterinary Research. 83(1). 42–49. 10 indexed citations
9.
Molenda, Olivia, Xuan Cao, Camilla Nesbø, et al.. (2020). Insights into origins and function of the unexplored majority of the reductive dehalogenase gene family as a result of genome assembly and ortholog group classification. Environmental Science Processes & Impacts. 22(3). 663–678. 45 indexed citations
10.
Tang, Shuiquan, Aline Rodrigues Hoffmann, Michael J. Kavanagh, et al.. (2020). The canine skin and ear microbiome: A comprehensive survey of pathogens implicated in canine skin and ear infections using a novel next-generation-sequencing-based assay. Veterinary Microbiology. 247. 108764–108764. 64 indexed citations
11.
Nicholls, Samuel M., Joshua Quick, Shuiquan Tang, & Nicholas J. Loman. (2019). Ultra-deep, long-read nanopore sequencing of mock microbial community standards. GigaScience. 8(5). 166 indexed citations
12.
Molenda, Olivia, Shuiquan Tang, Line Lomheim, et al.. (2018). Extrachromosomal circular elements targeted by CRISPR-Cas in Dehalococcoides mccartyi are linked to mobilization of reductive dehalogenase genes. The ISME Journal. 13(1). 24–38. 15 indexed citations
13.
Wang, Po‐Hsiang, Shuiquan Tang, Robert Flick, et al.. (2016). Refined experimental annotation reveals conserved corrinoid autotrophy in chloroform-respiring Dehalobacter isolates. The ISME Journal. 11(3). 626–640. 20 indexed citations
14.
Molenda, Olivia, Shuiquan Tang, & Elizabeth A. Edwards. (2016). Complete Genome Sequence of Dehalococcoides mccartyi Strain WBC-2, Capable of Anaerobic Reductive Dechlorination of Vinyl Chloride. Genome Announcements. 4(6). 4 indexed citations
15.
Tang, Shuiquan, Po‐Hsiang Wang, Steven Higgins, Frank E. Löffler, & Elizabeth A. Edwards. (2016). Sister Dehalobacter Genomes Reveal Specialization in Organohalide Respiration and Recent Strain Differentiation Likely Driven by Chlorinated Substrates. Frontiers in Microbiology. 7. 100–100. 23 indexed citations
16.
Tang, Shuiquan, Yunchen Gong, & Elizabeth A. Edwards. (2012). Semi-Automatic In Silico Gap Closure Enabled De Novo Assembly of Two Dehalobacter Genomes from Metagenomic Data. PLoS ONE. 7(12). e52038–e52038. 38 indexed citations
17.
Mundle, Scott O. C., Xiaoming Liang, Shuiquan Tang, et al.. (2012). Large Carbon Isotope Fractionation during Biodegradation of Chloroform by Dehalobacter Cultures. Environmental Science & Technology. 46(18). 10154–10160. 34 indexed citations
18.
Tang, Shuiquan, et al.. (2010). Modeling of Phytase Production by Cultivation of Pichia pastoris Under the Control of the GAP Promoter. International Journal of Chemical Reactor Engineering. 8(1). 5 indexed citations
19.
Tang, Shuiquan, et al.. (2006). A Structured Model for Interleukin-11 Production with Recombinant E.coli and Genetic Algorithm for Model Parameter Estimation. International Journal of Chemical Reactor Engineering. 4(1). 1 indexed citations
20.

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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