Qingxia Gan

610 citations
12 papers · 464 · h-index 9

Impact in

  • Biochemistry top 10%
    • Phytochemicals and Antioxidant Activities
  • Pharmacology top 10%
    • Pharmacological Effects of Natural Compounds
    • Biological and pharmacological studies of plants

Papers in

    • Berberine and alkaloids research 2
    • Biological and pharmacological studies of plants 2
    • Pharmacological Effects of Natural Compounds 1
    • Ginseng Biological Effects and Applications 2

Qingxia Gan

11 papers receiving 456 citations

Peers

Qingxia Gan
Comparison fields: 5 of 81
  • Biochemistry 55
  • Pharmacology 55
  • Pharmacology 87
  • Complementary and alternative medicine 41
  • Endocrinology, Diabetes and Metabolism 62
Replace Haijun Xiong with:
Haijun Xiong China
Zhi-Nan Xiang China
Rajan Logesh India
Kwang Jin Lee South Korea
Sun-Dong Zhang China
Sung Hee Kim South Korea
Jianxiu Zhai China
Ching‐Yee Kwok Hong Kong
Tiantian Liu China
Robbie Yat‐Kan Chan Hong Kong
Qingxia Gan relative to Haijun Xiong China Haijun Xiong's profile →
Citations per field
00.5×3.2×
Haijun Xiong · 1×
Citations per year

Countries citing papers authored by Qingxia Gan

Since Specialization
Citations

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

Fields of papers citing papers by Qingxia Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Qingxia Gan, 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 Qingxia Gan Line = papers co-authored together Qingxia Gan links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2019156
2 201988
3 202047
4 202438
5 202238
6 202031
7 202121
8 202419
9 202017
10 20235
11 20214
12 20250

About Qingxia Gan

Qingxia Gan is a scholar working on Pharmacology, Molecular Biology, Endocrinology, Diabetes and Metabolism, Pharmacology and Food Science, having authored 12 papers that have together received 464 indexed citations. Recurring topics across this work include Natural Antidiabetic Agents Studies (3 papers), Berberine and alkaloids research (2 papers), Biological and pharmacological studies of plants (2 papers), Ginseng Biological Effects and Applications (2 papers), Food Quality and Safety Studies (2 papers), Phytochemicals and Antioxidant Activities (1 paper), Alzheimer's disease research and treatments (1 paper) and Pharmacological Effects of Natural Compounds (1 paper). The work is most often cited by research in Biochemistry (55 citations), Pharmacology (55 citations), Pharmacology (87 citations), Complementary and alternative medicine (41 citations) and Endocrinology, Diabetes and Metabolism (62 citations). Qingxia Gan has collaborated with scholars based in China. Frequent co-authors include Qinwan Huang, Guanhua Lou, Haijun Xiong, Jin Wang, Hu Ju, Chengyi Peng, Qian Ran, Jilin Sun, Yuntong Ma and Xi Wang. Their work appears in journals such as Journal of Ethnopharmacology, Food & Function, Frontiers in Pharmacology, International Journal of Biological Macromolecules and Journal of Agricultural and Food Chemistry.

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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