Xuanke Guan
- Molecular Biology
- Epidemiology
- Cardiology and Cardiovascular Medicine
- Physiology
- Complementary and alternative medicine top 10%
- Topics
- Traditional Chinese Medicine Analysis (8 papers)Mitochondrial Function and Pathology (6 papers)ATP Synthase and ATPases Research (3 papers)
- Journals
- Journal of EthnopharmacologyMedicineThe International Journal of Biochemistry & Cell Biology
- Partner nations
- ChinaUnited Kingdom
In The Last Decade
Xuanke Guan
15 papers receiving 411 citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Molecular Biology 255
- Epidemiology 83
- Cardiology and Cardiovascular Medicine 75
- Physiology 69
- Complementary and alternative medicine 56
Countries citing papers authored by Xuanke Guan
This map shows the geographic impact of Xuanke Guan'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 Xuanke Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuanke Guan more than expected).
Fields of papers citing papers by Xuanke Guan
This network shows the impact of papers produced by Xuanke Guan. 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 Xuanke Guan. The network helps show where Xuanke Guan may publish in the future.
Co-authorship network of co-authors of Xuanke Guan
This figure shows the co-authorship network connecting the top 25 collaborators of Xuanke Guan. A scholar is included among the top collaborators of Xuanke Guan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xuanke Guan. Xuanke Guan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 9 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | Ginsenoside Rb1 ameliorates heart failure through DUSP-1-TMBIM-6-mediated mitochondrial quality control and gut flora interactionsbreakdown → | 43 |
| 9 | Quercetin inhibits necroptosis in cardiomyocytes after ischemia–reperfusion via | 86 |
| 10 | 67 | |
| 11 | 32 | |
| 12 | 67 | |
| 13 | 73 | |
| 14 | 7 | |
| 15 | 7 | |
| 16 | [Effect of Zishen Huoxue Recipe on Pathomorphology in Coronary Heart Disease Rats with Shen Deficiency Blood Stasis Syndrome]. | 2 |
About Xuanke Guan
Xuanke Guan is a scholar working on Complementary and alternative medicine, Geriatrics and Gerontology and Physiology, having authored 16 papers that have together received 413 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (8 papers), Mitochondrial Function and Pathology (6 papers) and ATP Synthase and ATPases Research (3 papers). The work is most often cited by research in Geriatrics and Gerontology (38 citations), Complementary and alternative medicine (56 citations) and Physiology (27 citations). Xuanke Guan has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Ruxiu Liu, Xing Chang, Jinfeng Liu, Qiaomin Wu, Yanli Wang, Zhiming Liu, Qin Zhang, Siyuan Zhou, Yu Huang and Yanli Wang. Their work appears in journals such as Journal of Ethnopharmacology, Medicine and The International Journal of Biochemistry & Cell Biology.
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.