Jun Yuan
- Molecular Biology
- Cancer Research top 10%
- Organic Chemistry
- Cellular and Molecular Neuroscience
- Complementary and alternative medicine top 5%
- Co-authors
- Wei WeiBiao YanJin YaoQin JiangK. Y. ShanYi ShenYangyang ZhangHong Yang
- Topics
- Traditional Chinese Medicine Analysis (4 papers)Receptor Mechanisms and Signaling (3 papers)Pharmacological Effects of Natural Compounds (2 papers)
- Journals
- Journal of Medicinal ChemistryJournal of Pharmacology and Experimental TherapeuticsMolecular Pharmacology
- Partner nations
- ChinaUnited StatesSaint Kitts and Nevis
In The Last Decade
Jun Yuan
27 papers receiving 632 citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 336
- Cancer Research 175
- Organic Chemistry 91
- Cellular and Molecular Neuroscience 79
- Complementary and alternative medicine 78
Countries citing papers authored by Jun Yuan
This map shows the geographic impact of Jun Yuan'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 Jun Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yuan more than expected).
Fields of papers citing papers by Jun Yuan
This network shows the impact of papers produced by Jun Yuan. 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 Jun Yuan. The network helps show where Jun Yuan may publish in the future.
Co-authorship network of co-authors of Jun Yuan
This figure shows the co-authorship network connecting the top 25 collaborators of Jun Yuan. A scholar is included among the top collaborators of Jun Yuan 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 Jun Yuan. Jun Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 16 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 5 | |
| 8 | 102 | |
| 9 | Heavy loss of retinal ganglion cells cause insomnia and depression in late-stage retinal diseases | 0 |
| 10 | 33 | |
| 11 | 64 | |
| 12 | Pharmacokinetics of paeoniflorin microemulsion after repeated dosing in rats with adjuvant arthritis. | 15 |
| 13 | 7 | |
| 14 | 67 | |
| 15 | 30 | |
| 16 | 48 | |
| 17 | 29 | |
| 18 | 2 | |
| 19 | 23 | |
| 20 | 19 |
About Jun Yuan
Jun Yuan is a scholar working on Complementary and alternative medicine, Biological Psychiatry and Rheumatology, having authored 28 papers that have together received 654 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (4 papers), Receptor Mechanisms and Signaling (3 papers) and Pharmacological Effects of Natural Compounds (2 papers). The work is most often cited by research in Physiology (58 citations), Cancer Research (175 citations) and Complementary and alternative medicine (78 citations). Jun Yuan has collaborated with scholars based in China, United States and Saint Kitts and Nevis. Frequent co-authors include Wei Wei, Biao Yan, Jin Yao, Qin Jiang, K. Y. Shan, Yi Shen, Yangyang Zhang, Hong Yang, Hong Cheng and Robin Meade. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics and Molecular Pharmacology.
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.