Kai He

2.4k total citations
55 papers, 1.9k citations indexed

About

Kai He is a scholar working on Molecular Biology, Pharmacology and Pharmacology. According to data from OpenAlex, Kai He has authored 55 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 19 papers in Pharmacology and 12 papers in Pharmacology. Recurrent topics in Kai He's work include Berberine and alkaloids research (18 papers), Gut microbiota and health (10 papers) and Chromatography in Natural Products (8 papers). Kai He is often cited by papers focused on Berberine and alkaloids research (18 papers), Gut microbiota and health (10 papers) and Chromatography in Natural Products (8 papers). Kai He collaborates with scholars based in China, United States and Hong Kong. Kai He's co-authors include Xiaoli Ye, Xuegang Li, Zongyao Zou, Yong Yang, Zaiqi Zhang, Shuping Li, Hang Ma, Yinran Hu, Min Feng and Dezhen Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Nanoscale.

In The Last Decade

Kai He

52 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
Kai He China 22 862 548 435 301 290 55 1.9k
Peibo Li China 29 1.2k 1.4× 326 0.6× 388 0.9× 377 1.3× 351 1.2× 112 2.6k
Toshiaki Makino Japan 28 973 1.1× 371 0.7× 788 1.8× 464 1.5× 434 1.5× 165 2.6k
Tianhua Yan China 32 1.7k 2.0× 511 0.9× 449 1.0× 292 1.0× 320 1.1× 71 3.2k
Xuegang Li China 33 1.4k 1.6× 975 1.8× 698 1.6× 407 1.4× 304 1.0× 124 3.0k
Hyeun‐Kyoo Shin South Korea 26 965 1.1× 415 0.8× 724 1.7× 444 1.5× 559 1.9× 253 2.6k
Xiaofeng Yu China 30 1.5k 1.8× 360 0.7× 334 0.8× 190 0.6× 366 1.3× 124 3.0k
Esfandiar Heidarian Iran 29 561 0.7× 278 0.5× 545 1.3× 508 1.7× 308 1.1× 106 2.2k
Seung‐Hyung Kim South Korea 32 1.2k 1.4× 344 0.6× 623 1.4× 409 1.4× 423 1.5× 159 3.1k
Mee-Young Lee South Korea 27 796 0.9× 241 0.4× 505 1.2× 359 1.2× 396 1.4× 137 2.2k
Wei-Hsuan Hsu Taiwan 29 764 0.9× 283 0.5× 372 0.9× 215 0.7× 197 0.7× 79 2.1k

Countries citing papers authored by Kai He

Since Specialization
Citations

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

Fields of papers citing papers by Kai He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai He

This figure shows the co-authorship network connecting the top 25 collaborators of Kai He. A scholar is included among the top collaborators of Kai He 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 Kai He. Kai He 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.
Lu, Youyuan, et al.. (2025). Lycium barbarum studies: A system review on molecular biology, cultivation, and quality characteristics of goji berries. Biochemical Systematics and Ecology. 121. 105020–105020. 1 indexed citations
2.
He, Kai, et al.. (2024). Modeling respiratory tract diseases for clinical translation employing conditionally reprogrammed cells. SHILAP Revista de lepidopterología. 3(6). 100201–100201. 3 indexed citations
3.
Yang, Yong, et al.. (2024). Myricanol improves metabolic profiles in dexamethasone induced lipid and protein metabolism disorders in mice. Biomedicine & Pharmacotherapy. 174. 116557–116557. 1 indexed citations
4.
He, Kai, et al.. (2024). Oral Diltiazem Prophylaxis for Atrial Fibrillation in Patients Undergoing Robotic Lobectomy. Annals of Thoracic Surgery Short Reports. 3(2). 509–513.
5.
Zhang, Fangming, Tao Zheng, Xu Yao, et al.. (2023). Adsorption, in vitro digestion and human gut microbiota regulation characteristics of three Poria cocos polysaccharides. Food Science and Human Wellness. 13(3). 1685–1697. 8 indexed citations
6.
Sun, Yan V., Tao Zheng, Pan Xu, et al.. (2023). Effects of Four Extraction Methods on Structure and In Vitro Fermentation Characteristics of Soluble Dietary Fiber from Rape Bee Pollen. Molecules. 28(12). 4800–4800. 10 indexed citations
7.
He, Kai, et al.. (2023). Separation and Biological Activities of the Main Compounds from the Bark of Myrica rubra Siebold & Zucc. Separations. 11(1). 4–4. 2 indexed citations
8.
Shen, Qiwei, et al.. (2018). Effects of sleeve gastrectomy on the composition and diurnal oscillation of gut microbiota related to the metabolic improvements. Surgery for Obesity and Related Diseases. 14(6). 731–739. 17 indexed citations
9.
Feng, Min, Shuzhen Kong, Kai He, et al.. (2017). The protective effect of coptisine on experimental atherosclerosis ApoE−/− mice is mediated by MAPK/NF-κB-dependent pathway. Biomedicine & Pharmacotherapy. 93. 721–729. 37 indexed citations
10.
Hu, Yinran, Hang Ma, Zongyao Zou, et al.. (2016). Activation of Akt and JNK/Nrf2/NQO1 pathway contributes to the protective effect of coptisine against AAPH-induced oxidative stress. Biomedicine & Pharmacotherapy. 85. 313–322. 60 indexed citations
11.
Zhou, Xia, Ling Li, Kai He, et al.. (2016). Effects of dietary supplementations with the fibrous root of Rhizoma Coptidis and its main alkaloids on non-specific immunity and disease resistance of common carp. Veterinary Immunology and Immunopathology. 173. 34–38. 18 indexed citations
12.
Han, Bing, Yue Wang, Tao Huang, et al.. (2016). Synergetic cholesterol-lowering effects of main alkaloids from Rhizoma Coptidis in HepG2 cells and hypercholesterolemia hamsters. Life Sciences. 151. 50–60. 39 indexed citations
13.
Xu, Bo, et al.. (2016). Alterations of Gut Microbiota After Roux-en-Y Gastric Bypass and Sleeve Gastrectomy in Sprague-Dawley Rats. Obesity Surgery. 27(2). 295–302. 74 indexed citations
14.
He, Kai, et al.. (2014). Study on interaction between plasmid DNA and berberine derivatives with aliphatic chain by fluorescence analysis. Pharmacognosy Magazine. 10(38). 97–97. 7 indexed citations
15.
Wu, Hao, Kai He, Ning Na, et al.. (2014). The antihypercholesterolemic effect of jatrorrhizine isolated from Rhizoma Coptidis. Phytomedicine. 21(11). 1373–1381. 46 indexed citations
16.
He, Kai, Xuegang Li, Xiaoli Ye, et al.. (2012). A mitochondria-based method for the determination of antioxidant activities using 2′,7′‐dichlorofluorescin diacetate oxidation. Food Research International. 48(2). 454–461. 5 indexed citations
17.
Ye, Xiaoli, Dezhen Wang, Kai He, et al.. (2012). Safety evaluation of main alkaloids from Rhizoma Coptidis. Journal of Ethnopharmacology. 145(1). 303–310. 121 indexed citations
18.
Deng, Yafei, Kai He, Xiaoli Ye, et al.. (2012). Saponin rich fractions from Polygonatum odoratum (Mill.) Druce with more potential hypoglycemic effects. Journal of Ethnopharmacology. 141(1). 228–233. 68 indexed citations
19.
Ye, Xiaoli, et al.. (2011). Study of antihyperlipidemic effect on rabbits of 8-alkylberberine derivatives. Journal of Medicinal Plants Research. 5(8). 1390–1394. 4 indexed citations
20.
Chen, Hongying, et al.. (2011). Cytotoxicity and antihyperglycemic effect of minor constituents from Rhizoma Coptis in HepG2 cells. Fitoterapia. 83(1). 67–73. 116 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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