Xingfei Lai

1.5k total citations
59 papers, 1.1k citations indexed

About

Xingfei Lai is a scholar working on Pathology and Forensic Medicine, Food Science and Molecular Biology. According to data from OpenAlex, Xingfei Lai has authored 59 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Pathology and Forensic Medicine, 20 papers in Food Science and 18 papers in Molecular Biology. Recurrent topics in Xingfei Lai's work include Tea Polyphenols and Effects (45 papers), Food Quality and Safety Studies (18 papers) and Phytochemicals and Antioxidant Activities (13 papers). Xingfei Lai is often cited by papers focused on Tea Polyphenols and Effects (45 papers), Food Quality and Safety Studies (18 papers) and Phytochemicals and Antioxidant Activities (13 papers). Xingfei Lai collaborates with scholars based in China, Singapore and France. Xingfei Lai's co-authors include Shili Sun, Lingli Sun, Ruohong Chen, Qiuhua Li, Wenji Zhang, Shuai Wen, Qiuhua Li, Zhenbiao Zhang, Limin Xiang and Zhaoxiang Lai and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Food Chemistry.

In The Last Decade

Xingfei Lai

57 papers receiving 1.1k citations

Peers

Xingfei Lai

PFM

BIOCH

Yan Hou China

Puming He China

Sarah C. Forester United States

Rajiv Gandhi Gopalsamy Brazil

Yinzhao Zhong China

Yuji Miyata Japan

Rui Su China

Raymond Cooper Hong Kong

Pengpu Wang China

J. R. Vedasiromoni India

Yan Hou China

Xingfei Lai

330 ×0.6

PFM

283 ×0.8

215 ×0.7

162 ×0.7

BIOCH

102 ×0.8

Citations per year, relative to Xingfei Lai Xingfei Lai (= 1×) peers Yan Hou

Countries citing papers authored by Xingfei Lai

Since Specialization

Citations

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

Fields of papers citing papers by Xingfei Lai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingfei Lai

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

All Works

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20 of 20 papers shown

Wu, Di, Lingli Sun, Xingfei Lai, et al.. (2025). Dark tea extract extends Caenorhabditis elegans lifespan by enhancing antioxidant and ferroptosis resistance. Food Research International. 221(Pt 4). 117503–117503.

Sun, Shili, Chao Ma, Feng Li, et al.. (2025). Analysis of volatile metabolites and differences in aroma quality of green tea, black tea and oolong tea prepared from highly aromatic tea variety (Dancong). Food Research International. 221(Pt 3). 117402–117402.

Lai, Xingfei, Qiuhua Li, Lingli Sun, et al.. (2024). Widely targeted metabolomic analysis reveals metabolite changes induced by incorporating black tea fermentation techniques in oolong tea processing for quality improvement. Food Chemistry. 459. 140433–140433. 13 indexed citations

Lai, Xingfei, Qiuhua Li, Ruohong Chen, et al.. (2024). Effects of fermentation duration on the flavour quality of large leaf black tea based on metabolomics. Food Chemistry. 444. 138680–138680. 31 indexed citations

Chen, Ruohong, Qiuhua Li, Shuai Wen, et al.. (2024). Mechanisms and quality variations of non-volatile and volatile metabolites in black tea from various ages of tea trees: Insights from metabolomics analysis. Food Chemistry X. 22. 101470–101470. 12 indexed citations

Li, Qiuhua, Shuai Wen, Ruohong Chen, et al.. (2023). Metabolomics reveals the effects of different storage times on the acidity quality and metabolites of large-leaf black tea. Food Chemistry. 426. 136601–136601. 21 indexed citations

Wen, Shuai, Zhongzheng Chen, Ruohong Chen, et al.. (2023). The formation mechanism of aroma quality of green and yellow teas based on GC-MS/MS metabolomics. Food Research International. 172. 113137–113137. 29 indexed citations

Li, Qiuhua, Junxi Cao, Fenling Fan, et al.. (2023). Aged black tea alleviates constipation in mice by modulating intestinal neurotransmitters and decreasing AQP3 and AQP9 expression. Food & Nutrition Research. 67. 5 indexed citations

Li, Qiuhua, Ruohong Chen, Xingfei Lai, et al.. (2023). Metabolomics and electronic tongue reveal the effects of different storage years on metabolites and taste quality of Oolong Tea. Food Control. 152. 109847–109847. 34 indexed citations

10.

Zhang, Zhenbiao, Lingli Sun, Ruohong Chen, et al.. (2023). Recent insights into the physicochemical properties, bioactivities and their relationship of tea polysaccharides. Food Chemistry. 432. 137223–137223. 18 indexed citations

11.

Sun, Lingli, Ruohong Chen, Qiuhua Li, et al.. (2023). Metabolome and Microbiome Analysis to Study the Flavor of Summer Black Tea Improved by Stuck Fermentation. Foods. 12(18). 3414–3414. 17 indexed citations

12.

Chen, Ruohong, Xingfei Lai, Limin Xiang, et al.. (2022). Aged green tea reduces high-fat diet-induced fat accumulation and inflammation via activating the AMP-activated protein kinase signaling pathway. Food & Nutrition Research. 66. 10 indexed citations

13.

Wen, Shuai, Ran An, Zhigang Li, et al.. (2022). Citrus maxima and tea regulate AMPK signaling pathway to retard the progress of nonalcoholic fatty liver disease. Food & Nutrition Research. 66. 4 indexed citations

14.

Zhang, Wenji, Junxi Cao, Zhigang Li, et al.. (2021). HS-SPME and GC/MS volatile component analysis of Yinghong No. 9 dark tea during the pile fermentation process. Food Chemistry. 357. 129654–129654. 87 indexed citations

15.

Zhang, Yizi, Lingli Sun, Xingfei Lai, et al.. (2021). Gastroprotective effects of extract of Jasminum grandiflorum L. flower in HCl/EtOH-induced gastric mucosal ulceration mice. Biomedicine & Pharmacotherapy. 144. 112268–112268. 21 indexed citations

16.

Li, Qiuhua, Xingfei Lai, Lingli Sun, et al.. (2020). Antiobesity and anti-inflammation effects of Hakka stir-fried tea of different storage years on high-fat diet-induced obese mice model via activating the AMPK/ACC/CPT1 pathway. Food & Nutrition Research. 64(0). 19 indexed citations

17.

Sun, Lingli, Wenji Zhang, Xingfei Lai, et al.. (2020). Green tea and black tea inhibit proliferation and migration of HepG2 cells via the PI3K/Akt and MMPs signalling pathway. Biomedicine & Pharmacotherapy. 125. 109893–109893. 22 indexed citations

18.

An, Ran, Shuai Wen, Dongli Li, et al.. (2020). Mixtures of Tea and Citrus maxima (pomelo) Alleviate Lipid Deposition in HepG2 Cells Through the AMPK/ACC Signaling Pathway. Journal of Medicinal Food. 23(9). 943–951. 9 indexed citations

19.

Wen, Shuai, Lingli Sun, Ran An, et al.. (2019). A combination of Citrus reticulata peel and black tea inhibits migration and invasion of liver cancer via PI3K/AKT and MMPs signaling pathway. Molecular Biology Reports. 47(1). 507–519. 17 indexed citations

20.

Huang, Yahui, Juan Wang, Zhen Zeng, & Xingfei Lai. (2011). Analysis of Aroma Constituents of Fuzhuan Tea Produced in Different Years. Food Science. 261. 3 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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