Chunchun Wei
Impact in
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine
- Physiology top 10%
- Adipose Tissue and Metabolism
- Calcium signaling and nucleotide metabolism
Papers in
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- Mitochondrial Function and Pathology 4
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- Adipose Tissue and Metabolism 6
- Co-authors
- Pei Wang (2 shared papers)Chao‐Yu Miao (2 shared papers)Yun‐Feng Guan (1 shared paper)Guoqiang Li (1 shared paper)Ming‐He Cheng (1 shared paper)Weiping J. Zhang (12 shared papers)Si‐Li Zheng (1 shared paper)Hua Xia (1 shared paper)
- Journals
- British Journal of Pharmacology (1 paper)Scientific Reports (1 paper)Journal of Endocrinology (1 paper)Diabetes (1 paper)Nature Communications (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Chunchun Wei
19 papers receiving 324 citations
Peers
Comparison fields: 5 of 74
- Geriatrics and Gerontology 52
- Physiology 29
- Neurology 40
- Biological Psychiatry 10
- Neurology 38
Countries citing papers authored by Chunchun Wei
This map shows the geographic impact of Chunchun Wei'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 Chunchun Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunchun Wei more than expected).
Fields of papers citing papers by Chunchun Wei
This network shows the impact of papers produced by Chunchun Wei. 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 Chunchun Wei. The network helps show where Chunchun Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Chunchun Wei, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 101 | |
| 2 | 2017 | 71 | |
| 3 | 2020 | 34 | |
| 4 | 2020 | 23 | |
| 5 | 2020 | 15 | |
| 6 | 2021 | 13 | |
| 7 | 2022 | 10 | |
| 8 | 2024 | 10 | |
| 9 | 2021 | 9 | |
| 10 | 2023 | 8 | |
| 11 | 2024 | 8 | |
| 12 | 2023 | 7 | |
| 13 | 2015 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2021 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2022 | 1 | |
| 20 | 2026 | 0 |
About Chunchun Wei
Chunchun Wei is a scholar working on Molecular Biology, Physiology, Epidemiology, Surgery and Biochemistry, having authored 24 papers that have together received 327 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Lipid metabolism and biosynthesis (4 papers), Mitochondrial Function and Pathology (4 papers), Diet, Metabolism, and Disease (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Cholesterol and Lipid Metabolism (3 papers), Cancer, Lipids, and Metabolism (2 papers) and Ferroptosis and cancer prognosis (2 papers). The work is most often cited by research in Geriatrics and Gerontology (52 citations), Physiology (29 citations), Neurology (40 citations), Biological Psychiatry (10 citations) and Neurology (38 citations). Chunchun Wei has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Pei Wang, Chao‐Yu Miao, Yun‐Feng Guan, Guoqiang Li, Ming‐He Cheng, Weiping J. Zhang, Guoqiang Li, Si‐Li Zheng, Hua Xia and Xianhua Ma. Their work appears in journals such as British Journal of Pharmacology, Scientific Reports, Journal of Endocrinology, Diabetes and Nature Communications.
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.