Yan Gu

410 citations
16 papers · 336 · h-index 6

Impact in

    • Traditional Chinese Medicine Analysis
    • Traditional Chinese Medicine Studies
  • Pharmacology top 10%
    • Berberine and alkaloids research
    • Pharmacological Effects of Natural Compounds
    • Alkaloids: synthesis and pharmacology

Papers in

    • Metabolomics and Mass Spectrometry Studies 6
    • Ginseng Biological Effects and Applications 2
    • Plant nutrient uptake and metabolism 2

Yan Gu

12 papers receiving 328 citations

Peers

Yan Gu
Comparison fields: 5 of 71
  • Complementary and alternative medicine 96
  • Pharmacology 77
  • Pharmacology 79
  • Molecular Biology 190
  • Biological Psychiatry 6
Replace Heying Cui with:
Heying Cui United States
Won-Yung Lee South Korea
Yinxiao Jiang China
Robert‐Jan A. N. Lamers Netherlands
Terry C. T. Or Hong Kong
Duong Thi Bich Thuan Vietnam
Xiaopeng Chen China
Yan Gu relative to Heying Cui United States Heying Cui's profile →
Citations per field
00.5×1.7×
Heying Cui · 1×
Citations per year

Countries citing papers authored by Yan Gu

Since Specialization
Citations

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

Fields of papers citing papers by Yan Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2010158
2 201278
3 201151
4 201616
5 202313
6 20228
7 20243
8 20093
9 20082
10 20242
11 20181
12 20251
13 20250
14 20250
15 20250
16 20210

About Yan Gu

Yan Gu is a scholar working on Molecular Biology, Plant Science, Nephrology, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 16 papers that have together received 336 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (6 papers), Plant nutrient uptake and metabolism (2 papers), Traditional Chinese Medicine Studies (2 papers), Lipid metabolism and disorders (2 papers), Advances in Cucurbitaceae Research (2 papers), Renal Diseases and Glomerulopathies (2 papers), Ginseng Biological Effects and Applications (2 papers) and Acoustic Wave Resonator Technologies (1 paper). The work is most often cited by research in Complementary and alternative medicine (96 citations), Pharmacology (77 citations), Pharmacology (79 citations), Molecular Biology (190 citations) and Biological Psychiatry (6 citations). Yan Gu has collaborated with scholars based in China, Tunisia and Canada. Frequent co-authors include Guowang Xu, Xin Lu, Xianzhe Shi, Jing Chen, Hongwei Kong, Weiqiong Gu, Yifei Zhang, Jie Hong, Guang Ning and Cheng Lü. Their work appears in journals such as Scientific Reports, BMJ Open, Medicine, Agronomy and International Journal of Molecular Sciences.

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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