Baican Yang
Impact in
- Drug Discovery top 10%
- Pharmacology top 10%
- Plant-based Medicinal Research
- Pharmacological Effects of Natural Compounds
Papers in
-
- Peroxisome Proliferator-Activated Receptors 3
- Biological Activity of Diterpenoids and Biflavonoids 2
- Surgery 4
- Cholesterol and Lipid Metabolism 4
- Co-authors
- Cheng Huang (6 shared papers)Shengjie Fan (5 shared papers)Yu Zhang (2 shared papers)Lu Guo (1 shared paper)Bin Zheng (1 shared paper)Yiming Li (1 shared paper)Mingxia Li (1 shared paper)Changsheng Liu (2 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (1 paper)Acta Pharmacologica Sinica (1 paper)Frontiers in Immunology (1 paper)PeerJ (1 paper)Annals of Translational Medicine (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Baican Yang
21 papers receiving 442 citations
Peers
Comparison fields: 5 of 87
- Drug Discovery 2
- Pharmacology 74
- Biochemistry 29
- Endocrinology, Diabetes and Metabolism 73
- Complementary and alternative medicine 32
Countries citing papers authored by Baican Yang
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
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.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 102 | |
| 2 | 2013 | 64 | |
| 3 | 2021 | 47 | |
| 4 | 2017 | 37 | |
| 5 | 2018 | 36 | |
| 6 | 2009 | 27 | |
| 7 | 2019 | 23 | |
| 8 | 2007 | 23 | |
| 9 | 2018 | 17 | |
| 10 | 2019 | 14 | |
| 11 | 2021 | 14 | |
| 12 | 2020 | 13 | |
| 13 | 2017 | 11 | |
| 14 | 2013 | 5 | |
| 15 | 2021 | 4 | |
| 16 | 2021 | 4 | |
| 17 | 2019 | 2 | |
| 18 | 2020 | 2 | |
| 19 | 2019 | 1 | |
| 20 | 2018 | 1 |
About Baican Yang
Baican Yang is a scholar working on Molecular Biology, Surgery, Pharmacology, Epidemiology and Plant Science, having authored 21 papers that have together received 448 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Advanced Technologies in Various Fields (2 papers), melanin and skin pigmentation (2 papers), Biological Activity of Diterpenoids and Biflavonoids (2 papers), Educational Technology and Pedagogy (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Drug Discovery (2 citations), Pharmacology (74 citations), Biochemistry (29 citations), Endocrinology, Diabetes and Metabolism (73 citations) and Complementary and alternative medicine (32 citations). Baican Yang has collaborated with scholars based in China and United States. Frequent co-authors include Cheng Huang, Shengjie Fan, Yu Zhang, Lu Guo, Bin Zheng, Yiming Li, Mingxia Li, Changsheng Liu, Yuan Yuan and Na Li. Their work appears in journals such as Biochemical and Biophysical Research Communications, Acta Pharmacologica Sinica, Frontiers in Immunology, PeerJ and Annals of Translational Medicine.
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.