Yu Cao
Impact in
-
- Traditional Chinese Medicine Analysis
- Geriatrics and Gerontology top 10%
Papers in
- Pharmacology 13
- Pharmacogenetics and Drug Metabolism 9
-
- Statistical Methods in Clinical Trials 8
- Co-authors
- Siwang Wang (7 shared papers)Lexin Wang (6 shared papers)Chunbo Wang (4 shared papers)Yanhua Xie (3 shared papers)Hanzhao Zhu (4 shared papers)Weixun Duan (4 shared papers)Chenjing Wang (13 shared papers)Zhiwu Han (3 shared papers)
- Journals
- BMC Pharmacology and Toxicology (4 papers)Advances in Therapy (2 papers)BMC Medicine (2 papers)Frontiers in Cell and Developmental Biology (2 papers)Phytomedicine (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Yu Cao
71 papers receiving 997 citations
Peers
Comparison fields: 5 of 96
- Complementary and alternative medicine 101
- Geriatrics and Gerontology 26
- Drug Discovery 2
- Pharmacology 65
- Molecular Medicine 34
Countries citing papers authored by Yu Cao
This map shows the geographic impact of Yu Cao'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 Yu Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Cao more than expected).
Fields of papers citing papers by Yu Cao
This network shows the impact of papers produced by Yu Cao. 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 Yu Cao. The network helps show where Yu Cao may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Cao, 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 | 2019 | 109 | |
| 2 | 2013 | 66 | |
| 3 | 2022 | 52 | |
| 4 | 2011 | 49 | |
| 5 | 2013 | 49 | |
| 6 | 2017 | 40 | |
| 7 | 2021 | 36 | |
| 8 | 2009 | 32 | |
| 9 | 2014 | 32 | |
| 10 | 2020 | 31 | |
| 11 | 2021 | 28 | |
| 12 | 2022 | 28 | |
| 13 | 2007 | 27 | |
| 14 | 2014 | 27 | |
| 15 | 2016 | 27 | |
| 16 | 2020 | 27 | |
| 17 | 2015 | 26 | |
| 18 | 2021 | 24 | |
| 19 | 2021 | 23 | |
| 20 | 2022 | 23 |
About Yu Cao
Yu Cao is a scholar working on Pharmacology, Statistics and Probability, Complementary and alternative medicine, Cardiology and Cardiovascular Medicine and Nephrology, having authored 75 papers that have together received 1k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (9 papers), Statistical Methods in Clinical Trials (8 papers), Traditional Chinese Medicine Analysis (6 papers), Cardiac Fibrosis and Remodeling (4 papers), Analytical Methods in Pharmaceuticals (3 papers), Obstructive Sleep Apnea Research (3 papers), Retinal Diseases and Treatments (3 papers) and Biosimilars and Bioanalytical Methods (3 papers). The work is most often cited by research in Complementary and alternative medicine (101 citations), Geriatrics and Gerontology (26 citations), Drug Discovery (2 citations), Pharmacology (65 citations) and Molecular Medicine (34 citations). Yu Cao has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Siwang Wang, Lexin Wang, Chunbo Wang, Yanhua Xie, Hanzhao Zhu, Weixun Duan, Chenjing Wang, Zhiwu Han, Mengen Zhai and Kaifeng Li. Their work appears in journals such as BMC Pharmacology and Toxicology, Advances in Therapy, BMC Medicine, Frontiers in Cell and Developmental Biology and Phytomedicine.
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.