Xing Shen

2.5k total citations
86 papers, 1.9k citations indexed

About

Xing Shen is a scholar working on Molecular Biology, Biomedical Engineering and Plant Science. According to data from OpenAlex, Xing Shen has authored 86 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 33 papers in Biomedical Engineering and 14 papers in Plant Science. Recurrent topics in Xing Shen's work include Biosensors and Analytical Detection (30 papers), Advanced biosensing and bioanalysis techniques (19 papers) and Identification and Quantification in Food (11 papers). Xing Shen is often cited by papers focused on Biosensors and Analytical Detection (30 papers), Advanced biosensing and bioanalysis techniques (19 papers) and Identification and Quantification in Food (11 papers). Xing Shen collaborates with scholars based in China, Russia and United States. Xing Shen's co-authors include Hongtao Lei, Xiangmei Li, Zhenlin Xu, Yuanming Sun, Yu‐Dong Shen, Jin Wang, Yingju Liu, Paulo E. Arratia, Josué Sznitman and Yuanming Sun and has published in prestigious journals such as Environmental Science & Technology, Analytical Chemistry and The Science of The Total Environment.

In The Last Decade

Xing Shen

83 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xing Shen China 25 1.0k 938 288 277 196 86 1.9k
Xuezhi Yu China 26 1.2k 1.1× 931 1.0× 183 0.6× 208 0.8× 417 2.1× 93 2.0k
Xiude Hua China 27 815 0.8× 602 0.6× 248 0.9× 179 0.6× 212 1.1× 88 1.8k
Kai Wen China 26 930 0.9× 708 0.8× 159 0.6× 213 0.8× 387 2.0× 67 1.8k
Kai Wen China 24 947 0.9× 714 0.8× 152 0.5× 152 0.5× 137 0.7× 80 1.5k
Juan Peng China 30 1.6k 1.5× 1.5k 1.6× 150 0.5× 159 0.6× 514 2.6× 91 2.4k
Wei Sheng China 24 970 0.9× 805 0.9× 204 0.7× 192 0.7× 306 1.6× 75 1.7k
Zengshan Liu China 25 1.0k 1.0× 461 0.5× 110 0.4× 116 0.4× 132 0.7× 112 1.8k
Danting Yang China 23 1.2k 1.2× 1.5k 1.6× 394 1.4× 130 0.5× 364 1.9× 48 2.8k
Yuanming Sun China 34 1.6k 1.6× 1.1k 1.1× 420 1.5× 265 1.0× 376 1.9× 108 2.9k
Willem Haasnoot Netherlands 37 1.5k 1.4× 995 1.1× 302 1.0× 389 1.4× 97 0.5× 97 3.1k

Countries citing papers authored by Xing Shen

Since Specialization
Citations

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

Fields of papers citing papers by Xing Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xing Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Xing Shen. A scholar is included among the top collaborators of Xing Shen 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 Xing Shen. Xing Shen 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.
Zhao, Gang, Xing Shen, Yan Li, et al.. (2024). Duplex recombinase polymerase amplification combined with CRISPR/Cas12a-Cas12a assay for on-site identification of yak meat adulteration. Journal of Food Composition and Analysis. 134. 106455–106455. 1 indexed citations
2.
Hendrickson, Olga D., Nadezhda A. Byzova, Vasily G. Panferov, et al.. (2024). Ultrasensitive Lateral Flow Immunoassay of Fluoroquinolone Antibiotic Gatifloxacin Using Au@Ag Nanoparticles as a Signal-Enhancing Label. Biosensors. 14(12). 598–598. 6 indexed citations
3.
Luo, Xin, et al.. (2024). Effects of dental tissue substructure and size on fracture strengths of lithium disilicate and zirconia ceramics. Bioscience Journal. 40. e40024–e40024. 1 indexed citations
4.
Liu, Yingju, et al.. (2024). Universal and Naked-Eye Diagnostic Platform for Emetic Bacillus cereus Based on RPA-Assisted CRISPR/Cas12a. Journal of Agricultural and Food Chemistry. 72(15). 8823–8830. 8 indexed citations
5.
6.
Tsim, Karl Wah Keung, et al.. (2024). Aflatoxin B1-induced liver pyroptosis is mediated by disturbing the gut microbial metabolites: The roles of pipecolic acid and norepinephrine. Journal of Hazardous Materials. 474. 134822–134822. 11 indexed citations
7.
Zhao, Gang, Lingyu Li, Xing Shen, et al.. (2024). DNA Barcoding Unveils Novel Discoveries in Authenticating High-Value Snow Lotus Seed Food Products. Foods. 13(16). 2580–2580. 1 indexed citations
8.
9.
Yang, Zehao, Xiaohua Liu, Xing Shen, et al.. (2023). A robust and sensitive enhanced immunochromatographic assay based on UiO-66-NH2 @Au for simultaneous detection of carbofuran and 3-hydroxy-carbofuran in fruits and vegetables. Sensors and Actuators B Chemical. 397. 134633–134633. 8 indexed citations
10.
11.
Zhang, Huayi, Hongtao Lei, Lin Zhang, et al.. (2023). Preparation of Anti-Zearalenone IgY and Development of an Indirect Competitive ELISA Method for the Measurement of Zearalenone in Post-Fermented Tea. Foods. 12(24). 4478–4478. 5 indexed citations
12.
Zheng, Jiale, Li Liu, Xiangmei Li, et al.. (2023). Rapid and Simple Detection of Burkholderia gladioli in Food Matrices Using RPA-CRISPR/Cas12a Method. Foods. 12(9). 1760–1760. 13 indexed citations
13.
Shen, Haoran, et al.. (2022). Development of Cu-doped CeO2 nanospheres mimic nanozyme-based immunoassay for the specific screening of Bacillus cereus. Microchimica Acta. 189(8). 312–312. 9 indexed citations
14.
Liu, Yingju, Xing Shen, Juan Wang, et al.. (2022). Detection of emetic Bacillus cereus and the emetic toxin cereulide in food matrices: Progress and perspectives. Trends in Food Science & Technology. 123. 322–333. 26 indexed citations
15.
16.
Guan, Tian, Zhuo Jiang, Yingju Liu, et al.. (2021). Single-emission dual-enzyme magnetosensor for multiplex immunofluorometric assay of adulterated colorants in chili seasoning. Food Chemistry. 366. 130594–130594. 11 indexed citations
17.
Guan, Tian, Dayu Liu, Bowen Shu, et al.. (2020). Open Surface Droplet Microfluidic Magnetosensor for Microcystin-LR Monitoring in Reservoir. Analytical Chemistry. 92(4). 3409–3416. 16 indexed citations
18.
Luo, Lin, Xiude Hua, Hongtao Lei, et al.. (2019). Fluorescent enzyme-linked immunoassay based on silane-doped carbon dots for sensitive detection of microcystin-LR in water and crucian samples. The Science of The Total Environment. 708. 134614–134614. 31 indexed citations
19.
Shen, Xing, Zhen Tian, Riming Huang, et al.. (2018). IgY Reduces AFB1-Induced Cytotoxicity, Cellular Dysfunction, and Genotoxicity in Human L-02 Hepatocytes and Swan 71 Trophoblasts. Journal of Agricultural and Food Chemistry. 66(6). 1543–1550. 12 indexed citations
20.
Shen, Xing, Xiangmei Li, Yun Yun Gong, et al.. (2018). Egg Yolk Immunoglobulin Supplementation Prevents Rat Liver from Aflatoxin B1-Induced Oxidative Damage and Genotoxicity. Journal of Agricultural and Food Chemistry. 66(50). 13260–13267. 8 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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