Shimo Kang

853 total citations
19 papers, 686 citations indexed

About

Shimo Kang is a scholar working on Molecular Biology, Food Science and Nutrition and Dietetics. According to data from OpenAlex, Shimo Kang has authored 19 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Food Science and 5 papers in Nutrition and Dietetics. Recurrent topics in Shimo Kang's work include Probiotics and Fermented Foods (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and Bacterial biofilms and quorum sensing (4 papers). Shimo Kang is often cited by papers focused on Probiotics and Fermented Foods (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and Bacterial biofilms and quorum sensing (4 papers). Shimo Kang collaborates with scholars based in China. Shimo Kang's co-authors include Yan Zheng, Xiqing Yue, Mei Yang, Mohan Li, Xueyan Cao, Fanhua Kong, Junhua Shao, Qilong Li, Hongjiao Han and Junrui Wu and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Journal of Dairy Science.

In The Last Decade

Shimo Kang

18 papers receiving 673 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shimo Kang China 14 293 287 194 76 70 19 686
Cristian De Gobba Denmark 16 290 1.0× 638 2.2× 111 0.6× 253 3.3× 71 1.0× 25 889
Yoshihiro Kanamaru Japan 16 221 0.8× 586 2.0× 290 1.5× 84 1.1× 80 1.1× 51 1.1k
Xueyan Cao China 21 414 1.4× 563 2.0× 476 2.5× 80 1.1× 80 1.1× 46 1.1k
Sanda Andrei Romania 18 161 0.5× 173 0.6× 98 0.5× 88 1.2× 126 1.8× 78 739
Huaigu Yang China 16 280 1.0× 223 0.8× 180 0.9× 130 1.7× 111 1.6× 36 690
Mahmoud Abdel-Hamid Egypt 18 518 1.8× 560 2.0× 248 1.3× 192 2.5× 201 2.9× 28 1.1k
Guanhao Bu China 20 674 2.3× 560 2.0× 225 1.2× 183 2.4× 234 3.3× 43 1.3k
Nihir Shah India 11 314 1.1× 191 0.7× 173 0.9× 42 0.6× 53 0.8× 18 531
Fei Tao China 16 358 1.2× 231 0.8× 85 0.4× 186 2.4× 162 2.3× 32 757

Countries citing papers authored by Shimo Kang

Since Specialization
Citations

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

Fields of papers citing papers by Shimo Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shimo Kang

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

All Works

19 of 19 papers shown
1.
Zhang, Yaqi, Huikang Lin, Lan Wang, et al.. (2025). Modulating the electronic configuration of single-atom nanozymes using cobalt nanoclusters for enhanced mycotoxin degradation. Food Chemistry. 479. 143852–143852. 3 indexed citations
2.
Kang, Shimo, et al.. (2024). Inhibitory Effects of Lactobionic Acid on Biofilm Formation and Virulence of Staphylococcus aureus. Foods. 13(17). 2781–2781. 3 indexed citations
3.
Kong, Fanhua, Juan Zhang, Shimo Kang, et al.. (2023). Effects of axylitol-casein complex on insulin resistance and gut microbiota composition in high-fat-diet + streptozotocin-induced type 2 diabetes mellitus mice. Food Science and Human Wellness. 13(5). 2741–2753. 1 indexed citations
4.
Chang, Jiang, Zengfeng Zhang, Bo Chen, et al.. (2023). Prevalence, antimicrobial resistance, and genetic characteristics of Staphylococcus aureus isolates in frozen flour and rice products in Shanghai, China. Current Research in Food Science. 7. 100631–100631.
5.
Kong, Fanhua, Shimo Kang, Juan Zhang, et al.. (2022). Whey protein and xylitol complex alleviate type 2 diabetes in C57BL/6 mice by regulating the intestinal microbiota. Food Research International. 157. 111454–111454. 19 indexed citations
6.
Kong, Fanhua, Shimo Kang, Juan Zhang, et al.. (2022). The non-covalent interactions between whey protein and various food functional ingredients. Food Chemistry. 394. 133455–133455. 54 indexed citations
8.
Kong, Fanhua, Shimo Kang, Jinlong Tian, et al.. (2020). Interaction of xylitol with whey proteins: Multi-spectroscopic techniques and docking studies. Food Chemistry. 326. 126804–126804. 75 indexed citations
9.
Li, Mohan, Qilong Li, Shimo Kang, et al.. (2020). Characterization and comparison of lipids in bovine colostrum and mature milk based on UHPLC-QTOF-MS lipidomics. Food Research International. 136. 109490–109490. 67 indexed citations
10.
Kang, Shimo, Chunlei Shi, Jiang Chang, et al.. (2020). Label free-based proteomic analysis of the food spoiler Pseudomonas fluorescens response to lactobionic acid by SWATH-MS. Food Control. 123. 107834–107834. 19 indexed citations
11.
Kong, Fanhua, Shimo Kang, Hongjiao Han, et al.. (2020). The effect of non-covalent interactions of xylitol with whey protein and casein on structure and functionality of protein. International Dairy Journal. 111. 104841–104841. 31 indexed citations
12.
Kang, Shimo, Fanhua Kong, Xiaona Liang, et al.. (2019). Label-Free Quantitative Proteomics Reveals the Multitargeted Antibacterial Mechanisms of Lactobionic Acid against Methicillin-Resistant Staphylococcus aureus (MRSA) using SWATH-MS Technology. Journal of Agricultural and Food Chemistry. 67(44). 12322–12332. 46 indexed citations
13.
Li, Mohan, Shimo Kang, Yan Zheng, et al.. (2019). Comparative metabolomics analysis of donkey colostrum and mature milk using ultra-high-performance liquid tandem chromatography quadrupole time-of-flight mass spectrometry. Journal of Dairy Science. 103(1). 992–1001. 57 indexed citations
14.
Li, Mohan, Junrui Wu, Yan Zheng, et al.. (2019). Quantitative lipidomics reveals alterations in donkey milk lipids according to lactation. Food Chemistry. 310. 125866–125866. 90 indexed citations
15.
Li, Mohan, Fanhua Kong, Shimo Kang, et al.. (2019). Metabolomics methods to analyze full spectrum of amino acids in different domains of bovine colostrum and mature milk. European Food Research and Technology. 246(1). 213–224. 26 indexed citations
16.
Kang, Shimo, Fanhua Kong, Hongjiao Han, et al.. (2019). Antibacterial activity and mechanism of lactobionic acid against Pseudomonas fluorescens and Methicillin-resistant Staphylococcus aureus and its application on whole milk. Food Control. 108. 106876–106876. 108 indexed citations
17.
Cao, Xueyan, Shimo Kang, Mei Yang, et al.. (2017). Quantitative N-glycoproteomics of milk fat globule membrane in human colostrum and mature milk reveals changes in protein glycosylation during lactation. Food & Function. 9(2). 1163–1172. 49 indexed citations
18.
Kang, Shimo, et al.. (2016). Main anthraquinone components in Aloe vera and their inhibitory effects on the formation of advanced glycation end-products. Journal of Food Processing and Preservation. 41(5). e13160–e13160. 15 indexed citations
19.
Xu, Rui, et al.. (2016). Assessment of the Concentration of Advanced Glycation End Products in Traditional Chinese Foods. Journal of Food Processing and Preservation. 41(2). e12811–e12811. 10 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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