Jun Xi

1.5k total citations
30 papers, 1.2k citations indexed

About

Jun Xi is a scholar working on Food Science, Molecular Biology and Biotechnology. According to data from OpenAlex, Jun Xi has authored 30 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Food Science, 13 papers in Molecular Biology and 8 papers in Biotechnology. Recurrent topics in Jun Xi's work include Microbial Inactivation Methods (7 papers), Essential Oils and Antimicrobial Activity (5 papers) and Electrohydrodynamics and Fluid Dynamics (4 papers). Jun Xi is often cited by papers focused on Microbial Inactivation Methods (7 papers), Essential Oils and Antimicrobial Activity (5 papers) and Electrohydrodynamics and Fluid Dynamics (4 papers). Jun Xi collaborates with scholars based in China, United States and Switzerland. Jun Xi's co-authors include Shouqin Zhang, Lianggong Yan, Fred W. McLafferty, Cynthia Kinsland, Tadhg P. Begley, Lang He, Yong Deng, Nino Campobasso, Rui Zhang and Adolphus P. G. M. van Loon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Food Chemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Jun Xi

28 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Xi China 16 418 338 317 202 180 30 1.2k
Dragana Stanić-Vučinić Serbia 23 600 1.4× 799 2.4× 227 0.7× 154 0.8× 116 0.6× 58 1.8k
Mohammadjavad Paydar Malaysia 22 633 1.5× 295 0.9× 109 0.3× 238 1.2× 186 1.0× 30 1.6k
Kimikazu Iwami Japan 21 694 1.7× 484 1.4× 297 0.9× 349 1.7× 81 0.5× 105 1.8k
Huan Jiang China 21 567 1.4× 210 0.6× 98 0.3× 227 1.1× 207 1.1× 62 1.3k
Semantee Bhattacharya India 17 421 1.0× 389 1.2× 127 0.4× 170 0.8× 84 0.5× 37 1.3k
Kenjiro Tadera Japan 16 732 1.8× 275 0.8× 462 1.5× 555 2.7× 179 1.0× 84 1.8k
Axelle Septembre‐Malaterre France 10 264 0.6× 346 1.0× 204 0.6× 198 1.0× 44 0.2× 19 932
Pavel Mučaji Slovakia 22 588 1.4× 408 1.2× 314 1.0× 670 3.3× 28 0.2× 81 1.6k
Sakthivel Ravi India 8 349 0.8× 533 1.6× 88 0.3× 312 1.5× 78 0.4× 11 1.2k
Pascale Sarni-Manchado France 12 237 0.6× 470 1.4× 397 1.3× 252 1.2× 42 0.2× 13 960

Countries citing papers authored by Jun Xi

Since Specialization
Citations

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

Fields of papers citing papers by Jun Xi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Xi

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Xi. A scholar is included among the top collaborators of Jun Xi 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 Jun Xi. Jun Xi 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.
Huang, Peng, Jia Qu, Shuo Yang, et al.. (2025). Multifunctional au-DTNB-ag nanoparticles immunoprobes based on color-Raman properties for lateral flow immunoassay detection of Glycinin. Food Chemistry. 487. 144788–144788. 4 indexed citations
3.
Wei, Shuang, et al.. (2025). Liquefied Petroleum Gas Extraction: An Innovative, Green, and Sustainable Approach for Extracting Natural Lipophilic Compounds. Comprehensive Reviews in Food Science and Food Safety. 24(5). e70258–e70258.
4.
Cui, Yuanyuan, Changhe Ding, Qianqian Liu, et al.. (2024). Effects of solid-state fermented wheat bran on inflammation level, serum lipid profiles and intestinal microbiota in Kunming mice. Food Bioscience. 62. 105366–105366. 1 indexed citations
5.
Li, Tianyue, et al.. (2024). Important role of DNA methylation hints at significant potential in tuberculosis. Archives of Microbiology. 206(4). 177–177. 4 indexed citations
6.
Wang, Yu, et al.. (2022). Current status and future challenges in extraction, purification and identification of Cepharanthine (a potential drug against COVID-19). Separation and Purification Technology. 309. 123038–123038. 11 indexed citations
7.
Ya, Song, et al.. (2022). Sulforaphane kills Mycobacterium tuberculosis H37Ra and Mycobacterium smegmatis mc2155 through a reactive oxygen species dependent mechanism. The Journal of Microbiology. 60(11). 1095–1105. 6 indexed citations
8.
Huang, Xinyi, Chenyue Li, & Jun Xi. (2022). Dynamic high pressure microfluidization-assisted extraction of plant active ingredients: a novel approach. Critical Reviews in Food Science and Nutrition. 63(33). 12413–12421. 14 indexed citations
9.
Guo, Yang, Bingyin Wang, Yanjuan Chen, et al.. (2021). A bioluminescence reporter mouse strain for in vivo imaging of CD8+ T cell localization and function. Biochemical and Biophysical Research Communications. 581. 12–19. 4 indexed citations
10.
Qin, Danyang & Jun Xi. (2021). Flash extraction: An ultra-rapid technique for acquiring bioactive compounds from plant materials. Trends in Food Science & Technology. 112. 581–591. 32 indexed citations
11.
Yang, Fan, et al.. (2020). Combination of liquid-phase pulsed discharge and ultrasonic for saponins extraction from lychee seeds. Ultrasonics Sonochemistry. 69. 105264–105264. 15 indexed citations
12.
Xi, Jun, Zong‐Ming Li, & Fan Yang. (2020). Recent advances in continuous extraction of bioactive ingredients from food-processing wastes by pulsed electric fields. Critical Reviews in Food Science and Nutrition. 61(10). 1738–1750. 42 indexed citations
13.
Li, Zong‐Ming, Lei Liu, Fan Yang, & Jun Xi. (2020). Kinetic modeling for high voltage electrical discharge extraction based on discharge energy input. Food Chemistry. 314. 126168–126168. 14 indexed citations
14.
Deng, Yong, et al.. (2018). Circulating Polyphenols Extraction System with High-Voltage Electrical Discharge: Design and Performance Evaluation. ACS Sustainable Chemistry & Engineering. 6(11). 15402–15410. 21 indexed citations
15.
Deng, Yong, et al.. (2017). Mechanochemical assisted extraction: A novel, efficient, eco-friendly technology. Trends in Food Science & Technology. 66. 166–175. 62 indexed citations
16.
Wang, Lu, Tao Wu, Jun Xi, et al.. (2016). NLRP3 Activation Was Regulated by DNA Methylation Modification duringMycobacterium tuberculosisInfection. BioMed Research International. 2016. 1–10. 56 indexed citations
17.
Xi, Jun, Lang He, & Lianggong Yan. (2014). Kinetic modeling of pressure-assisted solvent extraction of polyphenols from green tea in comparison with the conventional extraction. Food Chemistry. 166. 287–291. 33 indexed citations
18.
Xi, Jun. (2012). High-Pressure Processing as Emergent Technology for the Extraction of Bioactive Ingredients From Plant Materials. Critical Reviews in Food Science and Nutrition. 53(8). 837–852. 59 indexed citations
19.
Xi, Jun, et al.. (2009). Characterization of polyphenols from green tea leaves using a high hydrostatic pressure extraction. International Journal of Pharmaceutics. 382(1-2). 139–143. 132 indexed citations
20.
Begley, Tadhg P., Diana M. Downs, S. E. Ealick, et al.. (1999). Thiamin biosynthesis in prokaryotes. Archives of Microbiology. 171(5). 293–300. 239 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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