Baican Yang

542 citations
21 papers · 430 · h-index 12

Impact in

    • Plant-based Medicinal Research
    • Pharmacological Effects of Natural Compounds
    • Berberine and alkaloids research

Papers in

    • Peroxisome Proliferator-Activated Receptors 3
    • Biological Activity of Diterpenoids and Biflavonoids 2
    • Pharmacological Effects of Natural Compounds 3
    • Plant-based Medicinal Research 3

Baican Yang

21 papers receiving 425 citations

Peers

Baican Yang
Comparison fields: 5 of 89
  • Drug Discovery 2
  • Pharmacology 88
  • Biochemistry 29
  • Complementary and alternative medicine 38
  • Endocrinology, Diabetes and Metabolism 75
Replace Heba M. I. Abdallah with:
Heba M. I. Abdallah Egypt
Sayeed Ahmed India
Hong‐Xin Cui China
Alaa F. Bakr Egypt
Weronika Wojnar Poland
P.-D.L. Chao Taiwan
Binyu Wen China
Mitka Mitcheva Bulgaria
S.P. Dhanabal India
Baican Yang relative to Heba M. I. Abdallah Egypt Heba M. I. Abdallah's profile →
Citations per field
00.5×1.5×1.8×
Heba M. I. Abdallah · 1×
Citations per year

Countries citing papers authored by Baican Yang

Since Specialization
Citations

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

Fields of papers citing papers by Baican Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201495
2 201361
3 202146
4 201736
5 201834
6 200925
7 200723
8 201922
9 201817
10 202114
11 201914
12 202013
13 201710
14 20135
15 20214
16 20214
17 20202
18 20192
19 20181
20 20191

About Baican Yang

Baican Yang is a scholar working on Molecular Biology, Pharmacology, Surgery, Epidemiology and Plant Science, having authored 21 papers that have together received 430 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Pharmacological Effects of Natural Compounds (3 papers), Plant-based Medicinal Research (3 papers), Biological Activity of Diterpenoids and Biflavonoids (2 papers), AI and Multimedia in Education (2 papers), Adipose Tissue and Metabolism (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Drug Discovery (2 citations), Pharmacology (88 citations), Biochemistry (29 citations), Complementary and alternative medicine (38 citations) and Endocrinology, Diabetes and Metabolism (75 citations). Baican Yang has collaborated with scholars based in China and United States. Frequent co-authors include Cheng Huang, Shengjie Fan, Yu Zhang, Mingxia Li, Yiming Li, Lu Guo, Bin Zheng, Changsheng Liu, Yuan Yuan and Hong‐Xi Xu. Their work appears in journals such as Organic Letters, Phytotherapy Research, Frontiers in Immunology, Molecular Nutrition & Food Research and Acta Pharmacologica Sinica.

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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