Kai He

2.4k citations
56 papers · 2.1k · h-index 22

Impact in

Papers in

    • Berberine and alkaloids research 18
    • Pharmacological Effects of Natural Compounds 6
    • Plant-based Medicinal Research 3
    • Chromatography in Natural Products 8

Kai He

52 papers receiving 2.0k citations

Peers

Kai He
Comparison fields: 5 of 115
  • Pharmacology 345
  • Complementary and alternative medicine 267
  • Pharmacology 540
  • Biochemistry 157
  • Endocrinology, Diabetes and Metabolism 186
Replace Peibo Li with:
Peibo Li China
Hyeun‐Kyoo Shin South Korea
Toshiaki Makino Japan
Wen‐Chung Huang Taiwan
Qinwan Huang China
Chian‐Jiun Liou Taiwan
Yinan Zheng China
Valentina Razmovski‐Naumovski Australia
Mee-Young Lee South Korea
Jie Yu China
Kai He relative to Peibo Li China Peibo Li's profile →
Citations per field
00.5×1.5×1.8×
Peibo Li · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Kai He, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kai He Line = papers co-authored together Kai He links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013274
2 2011143
3 2012130
4 2016125
5 2011121
6 2020113
7 201596
8 201681
9 201276
10 201564
11 201762
12 201660
13 201659
14 202154
15 201446
16 201543
17 201441
18 201639
19 201739
20 202234

About Kai He

Kai He is a scholar working on Pharmacology, Pharmacology, Analytical Chemistry, Molecular Biology and Biochemistry, having authored 56 papers that have together received 2.1k indexed citations. Recurring topics across this work include Berberine and alkaloids research (18 papers), Gut microbiota and health (9 papers), Chromatography in Natural Products (8 papers), Pharmacological Effects of Natural Compounds (6 papers), Phytochemicals and Antioxidant Activities (5 papers), Natural product bioactivities and synthesis (4 papers), Drug Transport and Resistance Mechanisms (4 papers) and Plant-based Medicinal Research (3 papers). The work is most often cited by research in Pharmacology (345 citations), Complementary and alternative medicine (267 citations), Pharmacology (540 citations), Biochemistry (157 citations) and Endocrinology, Diabetes and Metabolism (186 citations). Kai He has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiaoli Ye, Xuegang Li, Yong Yang, Zongyao Zou, Zaiqi Zhang, Shuping Li, Hang Ma, Yinran Hu, Min Feng and Dezhen Wang. Their work appears in journals such as Journal of Ethnopharmacology, Fitoterapia, Biomedicine & Pharmacotherapy, Journal of Separation Science and Phytotherapy Research.

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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