Chun‐Xia Wan
Impact in
-
- Pharmacological Effects of Natural Compounds
-
- Cardiac Fibrosis and Remodeling
Papers in
-
- Bioactive Natural Diterpenoids Research 1
- Cell death mechanisms and regulation 1
-
- Autophagy in Disease and Therapy 4
- Co-authors
- Qizhu Tang (9 shared papers)Man Xu (6 shared papers)Wei Deng (4 shared papers)Qingqing Wu (4 shared papers)Di Fan (2 shared papers)Huibo Wang (2 shared papers)Hai‐Ming Wu (2 shared papers)Libo Liu (3 shared papers)
- Journals
- Cell Death and Disease (2 papers)Journal of Pharmacological Sciences (1 paper)Journal of Cellular Physiology (1 paper)International Journal of Molecular Medicine (1 paper)Molecular Nutrition & Food Research (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Chun‐Xia Wan
10 papers receiving 348 citations
Peers
Comparison fields: 5 of 70
- Pharmacology 29
- Pharmacology 42
- Cardiology and Cardiovascular Medicine 50
- Molecular Biology 164
- Epidemiology 71
Countries citing papers authored by Chun‐Xia Wan
This map shows the geographic impact of Chun‐Xia Wan'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 Chun‐Xia Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun‐Xia Wan more than expected).
Fields of papers citing papers by Chun‐Xia Wan
This network shows the impact of papers produced by Chun‐Xia Wan. 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 Chun‐Xia Wan. The network helps show where Chun‐Xia Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun‐Xia Wan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 70 | |
| 2 | 2019 | 51 | |
| 3 | 2018 | 49 | |
| 4 | 2020 | 36 | |
| 5 | 2017 | 31 | |
| 6 | 2018 | 29 | |
| 7 | 2019 | 28 | |
| 8 | 2021 | 24 | |
| 9 | 2017 | 19 | |
| 10 | Tetrandrine down-regulates expression of miRNA-155 to inhibit signal-induced NF-κB activation in a rat model of diabetes mellitus. | 2015 | 13 |
About Chun‐Xia Wan
Chun‐Xia Wan is a scholar working on Molecular Biology, Epidemiology, Pharmacology, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 10 papers that have together received 350 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (4 papers), Flavonoids in Medical Research (2 papers), Bioactive Natural Diterpenoids Research (1 paper), NF-κB Signaling Pathways (1 paper), Membrane Separation Technologies (1 paper), Berberine and alkaloids research (1 paper), Cell death mechanisms and regulation (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Pharmacology (29 citations), Pharmacology (42 citations), Cardiology and Cardiovascular Medicine (50 citations), Molecular Biology (164 citations) and Epidemiology (71 citations). Chun‐Xia Wan has collaborated with scholars based in China and United States. Frequent co-authors include Qizhu Tang, Man Xu, Wei Deng, Qingqing Wu, Di Fan, Huibo Wang, Hai‐Ming Wu, Libo Liu, Zhen‐Guo Ma and Ning Zhang. Their work appears in journals such as Cell Death and Disease, Journal of Pharmacological Sciences, Journal of Cellular Physiology, International Journal of Molecular Medicine and Molecular Nutrition & Food Research.
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.