Suqin Shao

1.7k total citations · 1 hit paper
31 papers, 1.3k citations indexed

About

Suqin Shao is a scholar working on Plant Science, Food Science and Cell Biology. According to data from OpenAlex, Suqin Shao has authored 31 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 8 papers in Food Science and 4 papers in Cell Biology. Recurrent topics in Suqin Shao's work include Mycotoxins in Agriculture and Food (13 papers), Wheat and Barley Genetics and Pathology (4 papers) and Phytochemicals and Antioxidant Activities (4 papers). Suqin Shao is often cited by papers focused on Mycotoxins in Agriculture and Food (13 papers), Wheat and Barley Genetics and Pathology (4 papers) and Phytochemicals and Antioxidant Activities (4 papers). Suqin Shao collaborates with scholars based in Canada, China and Germany. Suqin Shao's co-authors include Huaizhi Liu, Jiang He, Natasha M. Evans, Ting Zhou, Rong Tsao, Yan Zhu, Marta Hernandez, Mark A. Bernards, Yousef I. Hassan and Dion Lepp and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Chemosphere.

In The Last Decade

Suqin Shao

30 papers receiving 1.3k citations

Hit Papers

A review of research on plant‐based meat alternatives: Dr... 2020 2026 2022 2024 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suqin Shao Canada 19 489 473 265 224 190 31 1.3k
Raquel Lucas‐González Spain 24 1.1k 2.2× 288 0.6× 168 0.6× 181 0.8× 331 1.7× 56 1.6k
Aly Farag El Sheikha Egypt 22 454 0.9× 255 0.5× 134 0.5× 536 2.4× 182 1.0× 37 1.2k
Yuan‐Tay Shyu Taiwan 19 625 1.3× 398 0.8× 116 0.4× 541 2.4× 161 0.8× 37 1.6k
Amanda Gomes Almeida Sá Brazil 15 720 1.5× 367 0.8× 131 0.5× 481 2.1× 186 1.0× 25 1.4k
Sari Mäkinen Finland 16 501 1.0× 309 0.7× 55 0.2× 524 2.3× 194 1.0× 29 1.3k
Biniam Kebede New Zealand 27 1.1k 2.3× 604 1.3× 44 0.2× 315 1.4× 395 2.1× 96 2.0k
Peiyou Qin China 24 1.1k 2.1× 529 1.1× 110 0.4× 316 1.4× 52 0.3× 57 1.8k
Songül Çakmakçı Türkiye 20 726 1.5× 253 0.5× 48 0.2× 242 1.1× 256 1.3× 69 1.2k
Lukai Ma China 21 371 0.8× 234 0.5× 46 0.2× 373 1.7× 378 2.0× 85 1.4k
Daniel Martín‐Vertedor Spain 21 647 1.3× 374 0.8× 123 0.5× 127 0.6× 61 0.3× 85 1.3k

Countries citing papers authored by Suqin Shao

Since Specialization
Citations

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

Fields of papers citing papers by Suqin Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suqin Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Suqin Shao. A scholar is included among the top collaborators of Suqin Shao 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 Suqin Shao. Suqin Shao 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
2.
Yao, Feng, Yuxiang Wang, Ruiyu Zhu, et al.. (2024). Acute toxicity of deoxynivalenol and bioremediation of a highly effective deoxynivalenol degrading Achromobacter spanius P-9 on zebrafish embryos and adults. Chemosphere. 364. 143111–143111. 4 indexed citations
3.
Wang, Qi, Hai Yu, Qian Guo, et al.. (2024). Validating the use of a newly developed cinnamaldehyde product in commercial broiler production. Poultry Science. 103(5). 103625–103625. 4 indexed citations
4.
Yao, Feng, Yanping Zhang, Chenggang Cai, et al.. (2023). Strategies for deoxynivalenol (DON) degradation by microbes from organic fertilizers and influence of the bacterial diversity after DON treatment. International Biodeterioration & Biodegradation. 187. 105725–105725. 4 indexed citations
6.
Mats, Lili, et al.. (2020). Effect of acid on glycoalkaloids and acrylamide in French fries. Food Additives & Contaminants Part A. 37(6). 938–945. 14 indexed citations
7.
Liu, Huaizhi, et al.. (2019). An optimised HS-SPME-GC-MS method for the detection of volatile nitrosamines in meat samples. Food Additives & Contaminants Part A. 36(3). 396–404. 25 indexed citations
8.
Hu, Gaofei, Huaizhi Liu, Yan Zhu, et al.. (2018). Suppression of the formation of furan by antioxidants during UV-C light treatment of sugar solutions and apple cider. Food Chemistry. 269. 342–346. 17 indexed citations
9.
Zhu, Yan, Yousef I. Hassan, Suqin Shao, & Ting Zhou. (2018). Employing immuno-affinity for the analysis of various microbial metabolites of the mycotoxin deoxynivalenol. Journal of Chromatography A. 1556. 81–87. 3 indexed citations
10.
Tang, Kaijie, Huaizhi Liu, Xiuzhen Li, et al.. (2018). An Efficient Gas Chromatography–Mass Spectrometry Approach for the Simultaneous Analysis of Deoxynivalenol and Its Bacterial Metabolites 3-keto-DON and 3-epi-DON. Journal of Food Protection. 81(2). 233–239. 9 indexed citations
11.
Zhu, Yan, Yousef I. Hassan, Dion Lepp, Suqin Shao, & Ting Zhou. (2017). Strategies and Methodologies for Developing Microbial Detoxification Systems to Mitigate Mycotoxins. Toxins. 9(4). 130–130. 105 indexed citations
13.
Guan, Wenqiang, Jie Zhang, Ruixiang Yan, et al.. (2016). Effects of UV-C treatment and cold storage on ergosterol and vitamin D2 contents in different parts of white and brown mushroom (Agaricus bisporus). Food Chemistry. 210. 129–134. 58 indexed citations
15.
Soliman, Sameh S. M., et al.. (2014). Potential mycotoxin contamination risks of apple products associated with fungal flora of apple core. Food Control. 47. 585–591. 24 indexed citations
16.
Hu, Gaofei, Marta Hernandez, Honghui Zhu, & Suqin Shao. (2013). An efficient method for the determination of furan derivatives in apple cider and wine by solid phase extraction and high performance liquid chromatography—Diode array detector. Journal of Chromatography A. 1284. 100–106. 23 indexed citations
17.
Shao, Suqin, Ting Zhou, & Brian D. McGarvey. (2011). Comparative metabolomic analysis of Saccharomyces cerevisiae during the degradation of patulin using gas chromatography–mass spectrometry. Applied Microbiology and Biotechnology. 94(3). 789–797. 22 indexed citations
18.
Shao, Suqin, Alison M. Duncan, Raymond Yang, et al.. (2011). Systematic evaluation of pre-HPLC sample processing methods on total and individual isoflavones in soybeans and soy products. Food Research International. 44(8). 2425–2434. 45 indexed citations
19.
Ranathunge, Kosala, Suqin Shao, Dinah Qutob, et al.. (2010). Properties of the soybean seed coat cuticle change during development. Planta. 231(5). 1171–1188. 43 indexed citations
20.
Shao, Suqin, et al.. (2007). The outermost cuticle of soybean seeds: chemical composition and function during imbibition. Journal of Experimental Botany. 58(5). 1071–1082. 95 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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