Jun‐Kui Li

491 citations
16 papers · 349 · h-index 11

Impact in

Papers in

    • Phytochemical Studies and Bioactivities 3
    • Plant-derived Lignans Synthesis and Bioactivity 2
    • Ginseng Biological Effects and Applications 2
    • Natural product bioactivities and synthesis 2
    • Medicinal Plants and Bioactive Compounds 1
    • Cytokine Signaling Pathways and Interactions 4

Jun‐Kui Li

16 papers receiving 347 citations

Peers

Jun‐Kui Li
Comparison fields: 5 of 67
  • Pharmacology 31
  • Toxicology 10
  • Complementary and alternative medicine 22
  • Pharmacology 45
  • Immunology 46
Replace Hanchi Miao with:
Hanchi Miao China
Ji‐Yao Chou Hong Kong
Yuhui Tan China
Yiyi Ye China
Heng-Chien Ho Taiwan
Zhenping Sun China
Nara Tae South Korea
Jan Škubník Czechia
Supattra Chaithongyot Germany
Jun‐Kui Li relative to Hanchi Miao China Hanchi Miao's profile →
Citations per field
00.5×
Hanchi Miao · 1×
Citations per year

Countries citing papers authored by Jun‐Kui Li

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Kui Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun‐Kui Li, 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 Jun‐Kui Li Line = papers co-authored together Jun‐Kui Li links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 202062
2 202057
3 201939
4 202132
5 202224
6 202222
7 201821
8 202215
9 201914
10 202014
11 202012
12 20249
13 20218
14 20247
15 20237
16 20206

About Jun‐Kui Li

Jun‐Kui Li is a scholar working on Molecular Biology, Oncology, Pharmacology, Pharmacology and Epidemiology, having authored 16 papers that have together received 349 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (4 papers), Phytochemical Studies and Bioactivities (3 papers), Medicinal Plant Pharmacodynamics Research (3 papers), Plant-derived Lignans Synthesis and Bioactivity (2 papers), Ginseng Biological Effects and Applications (2 papers), Natural product bioactivities and synthesis (2 papers), Medicinal Plants and Bioactive Compounds (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Pharmacology (31 citations), Toxicology (10 citations), Complementary and alternative medicine (22 citations), Pharmacology (45 citations) and Immunology (46 citations). Jun‐Kui Li has collaborated with scholars based in Hong Kong and China. Frequent co-authors include Peili Zhu, Xiu‐Qiong Fu, Cheng‐Le Yin, Ying‐Jie Chen, Zhi‐Ling Yu, Ji‐Yao Chou, Jing‐Xuan Bai, Jia‐Ying Wu, Ying Wu and Yuxi Liu. Their work appears in journals such as Phytomedicine, Journal of Ethnopharmacology, Pharmacological Research, Frontiers in Pharmacology and Biological and Pharmaceutical Bulletin.

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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