Sijin Yang
Impact in
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- Traditional Chinese Medicine Analysis
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Kruppel-like factors research 4
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- Traditional Chinese Medicine Analysis 10
- Traditional Chinese Medicine Studies 8
- Co-authors
- Wei Ren (20 shared papers)Maryam Mazhar (16 shared papers)Gang Luo (18 shared papers)Pan Liang (13 shared papers)Mengnan Liu (15 shared papers)Hua Zhou (7 shared papers)Guoqiang Yang (5 shared papers)Houping Xu (8 shared papers)
In The Last Decade
Sijin Yang
70 papers receiving 970 citations
Peers
Comparison fields: 5 of 105
- Complementary and alternative medicine 109
- Neurology 104
- Pharmacology 91
- Biological Psychiatry 21
- Cancer Research 123
Countries citing papers authored by Sijin Yang
This map shows the geographic impact of Sijin 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 Sijin Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sijin Yang more than expected).
Fields of papers citing papers by Sijin Yang
This network shows the impact of papers produced by Sijin 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 Sijin Yang. The network helps show where Sijin Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Sijin 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 90 | |
| 2 | 2022 | 72 | |
| 3 | 2021 | 60 | |
| 4 | 2021 | 44 | |
| 5 | 2017 | 43 | |
| 6 | 2021 | 36 | |
| 7 | 2020 | 33 | |
| 8 | 2021 | 30 | |
| 9 | 2019 | 30 | |
| 10 | 2023 | 27 | |
| 11 | 2023 | 24 | |
| 12 | 2021 | 23 | |
| 13 | 2022 | 21 | |
| 14 | 2021 | 19 | |
| 15 | 2021 | 19 | |
| 16 | 2022 | 18 | |
| 17 | 2022 | 18 | |
| 18 | 2021 | 17 | |
| 19 | 2022 | 17 | |
| 20 | 2022 | 16 |
About Sijin Yang
Sijin Yang is a scholar working on Molecular Biology, Complementary and alternative medicine, Cardiology and Cardiovascular Medicine, Epidemiology and Pharmacology, having authored 75 papers that have together received 981 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (10 papers), Traditional Chinese Medicine Studies (8 papers), Cardiac Fibrosis and Remodeling (6 papers), Acute Ischemic Stroke Management (6 papers), Intracerebral and Subarachnoid Hemorrhage Research (6 papers), Plant-based Medicinal Research (5 papers), Neurological Disease Mechanisms and Treatments (5 papers) and Kruppel-like factors research (4 papers). The work is most often cited by research in Complementary and alternative medicine (109 citations), Neurology (104 citations), Pharmacology (91 citations), Biological Psychiatry (21 citations) and Cancer Research (123 citations). Sijin Yang has collaborated with scholars based in China, Macao and Thailand. Frequent co-authors include Wei Ren, Maryam Mazhar, Gang Luo, Pan Liang, Mengnan Liu, Hua Zhou, Guoqiang Yang, Houping Xu, Li Wang and Xiaohui Fan. Their work appears in journals such as Frontiers in Pharmacology, Evidence-based Complementary and Alternative Medicine, Heliyon, Cell Death Discovery and Phytotherapy Research.
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.