Juan Yang
- Molecular Biology
- Pharmacology top 10%
- Complementary and alternative medicine top 10%
- Pharmacology
- Psychiatry and Mental health
- Topics
- COVID-19 Clinical Research Studies (4 papers)Health Systems, Economic Evaluations, Quality of Life (3 papers)Pharmacological Effects of Natural Compounds (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaMedicineBioMed Research International
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Juan Yang
46 papers receiving 437 citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 114
- Pharmacology 72
- Complementary and alternative medicine 68
- Pharmacology 60
- Psychiatry and Mental health 49
Countries citing papers authored by Juan Yang
This map shows the geographic impact of Juan 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 Juan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan Yang more than expected).
Fields of papers citing papers by Juan Yang
This network shows the impact of papers produced by Juan 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 Juan Yang. The network helps show where Juan Yang may publish in the future.
Co-authorship network of co-authors of Juan Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Juan Yang. A scholar is included among the top collaborators of Juan Yang 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 Juan Yang. Juan Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 14 | |
| 9 | 1 | |
| 10 | 11 | |
| 11 | 30 | |
| 12 | 11 | |
| 13 | 24 | |
| 14 | 15 | |
| 15 | 2 | |
| 16 | 19 | |
| 17 | Influence factors of compressive strength and permeability of pervious concrete | 1 |
| 18 | Educational Choices under Uncertainty——An Empirical Study Based on Option Model | 0 |
| 19 | Clinical observation of modified Danzhi Xiaoyao powder in treating post-stroke depression | 1 |
| 20 | Apply the Compared Estimate Method to the Calculation of the Volume of Frugal Water in Water Saving Projects | 1 |
About Juan Yang
Juan Yang is a scholar working on Statistics and Probability, Neurology and Pharmacology, having authored 49 papers that have together received 451 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers) and Pharmacological Effects of Natural Compounds (3 papers). The work is most often cited by research in Complementary and alternative medicine (68 citations), Pharmacology (72 citations) and Pharmacology (60 citations). Juan Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qingshan Zheng, Jihan Huang, Yingchun He, Ning Wang, Yibin Feng, Ming Hong, Fan Cheung, Hor‐Yue Tan, Kun Wang and Yinghua Lv. Their work appears in journals such as SHILAP Revista de lepidopterología, Medicine and BioMed Research International.
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.