Yuping Wang
- Epidemiology
- Molecular Biology
- Pharmacology top 10%
- Pathology and Forensic Medicine
- Pharmacology top 5%
- Co-authors
- Ping HeWeijie ZhongLynn J. GroomeYang GuJingxia SunRaphael MechoulamBin GaoPartha Mukhopadhyay
- Topics
- Liver Disease Diagnosis and Treatment (7 papers)Drug-Induced Hepatotoxicity and Protection (6 papers)Liver physiology and pathology (4 papers)
- Cited by
- PharmacologyHepatology
- Journals
- BloodPLoS ONEScientific Reports
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yuping Wang
25 papers receiving 522 citations
Peers
Comparison fields: 5 of 93
- Epidemiology 140
- Molecular Biology 137
- Pharmacology 118
- Pathology and Forensic Medicine 110
- Pharmacology 82
Countries citing papers authored by Yuping Wang
This map shows the geographic impact of Yuping Wang'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 Yuping Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuping Wang more than expected).
Fields of papers citing papers by Yuping Wang
This network shows the impact of papers produced by Yuping Wang. 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 Yuping Wang. The network helps show where Yuping Wang may publish in the future.
Co-authorship network of co-authors of Yuping Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Yuping Wang. A scholar is included among the top collaborators of Yuping Wang 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 Yuping Wang. Yuping Wang 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 | 3 | |
| 3 | 3 | |
| 4 | 9 | |
| 5 | 10 | |
| 6 | 6 | |
| 7 | 13 | |
| 8 | [Cannabinoid receptor 2 deletion promotes proliferation and activation of hepatic macrophages in mice with acute liver injury induced by concanavalin A]. | 4 |
| 9 | 76 | |
| 10 | 64 | |
| 11 | 100 | |
| 12 | 39 | |
| 13 | 16 | |
| 14 | 84 | |
| 15 | 21 | |
| 16 | 11 | |
| 17 | [Effects of blueberry on hepatic fibrosis and ultrastructural of hepatocytes in rats]. | 2 |
| 18 | 29 | |
| 19 | 1 | |
| 20 | [Ultrastructural features and platelet-derived growth factor receptor A gene mutations in CD117-negative gastrointestinal stromal tumor]. | 1 |
About Yuping Wang
Yuping Wang is a scholar working on Pharmacology, Hepatology and Applied Microbiology and Biotechnology, having authored 26 papers that have together received 527 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (7 papers), Drug-Induced Hepatotoxicity and Protection (6 papers) and Liver physiology and pathology (4 papers). The work is most often cited by research in Pharmacology (82 citations), Hepatology (72 citations) and Pharmacology (118 citations). Yuping Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Ping He, Weijie Zhong, Lynn J. Groome, Yang Gu, Jingxia Sun, Raphael Mechoulam, Bin Gao, Partha Mukhopadhyay, Zongxian Cao and György Haskó. Their work appears in journals such as Blood, PLoS ONE and Scientific Reports.
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.