Chuchu Wang
Impact in
- Aging top 10%
- Structural Biology top 10%
Papers in
-
- Lipid Membrane Structure and Behavior 5
- Metabolomics and Mass Spectrometry Studies 4
- Cell Biology 10
- Cellular transport and secretion 7
- Endoplasmic Reticulum Stress and Disease 4
- Co-authors
- Dan Li (10 shared papers)Xiaotao Shen (6 shared papers)Cong Liu (10 shared papers)M Snyder (5 shared papers)Chunyu Zhao (7 shared papers)Daniel Hornburg (2 shared papers)Si Wu (1 shared paper)Shengnan Zhang (9 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Nature Communications (2 papers)Frontiers in Molecular Neuroscience (2 papers)Journal of Biological Chemistry (2 papers)eLife (2 papers)
- Partner nations
- United StatesChinaThailand
In The Last Decade
Chuchu Wang
29 papers receiving 770 citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Aging 26
- Structural Biology 13
- Neurology 113
- Physiology 178
- Cell Biology 111
Countries citing papers authored by Chuchu Wang
This map shows the geographic impact of Chuchu 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 Chuchu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chuchu Wang more than expected).
Fields of papers citing papers by Chuchu Wang
This network shows the impact of papers produced by Chuchu 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 Chuchu Wang. The network helps show where Chuchu Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chuchu Wang, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Nonlinear dynamics of multi-omics profiles during human aging Hit paper breakdown → | 2024 | 141 |
| 2 | 2020 | 116 | |
| 3 | 2016 | 89 | |
| 4 | 2019 | 61 | |
| 5 | 2023 | 46 | |
| 6 | 2022 | 40 | |
| 7 | 2020 | 37 | |
| 8 | 2022 | 35 | |
| 9 | 2018 | 34 | |
| 10 | 2022 | 27 | |
| 11 | 2018 | 24 | |
| 12 | 2024 | 23 | |
| 13 | 2023 | 14 | |
| 14 | 2024 | 12 | |
| 15 | 2022 | 9 | |
| 16 | 2024 | 9 | |
| 17 | 2024 | 9 | |
| 18 | 2022 | 8 | |
| 19 | 2024 | 8 | |
| 20 | 2023 | 7 |
About Chuchu Wang
Chuchu Wang is a scholar working on Molecular Biology, Cell Biology, Physiology, Neurology and Infectious Diseases, having authored 29 papers that have together received 775 indexed citations. Recurring topics across this work include Cellular transport and secretion (7 papers), Alzheimer's disease research and treatments (5 papers), Lipid Membrane Structure and Behavior (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Advanced Chemical Sensor Technologies (2 papers). The work is most often cited by research in Aging (26 citations), Structural Biology (13 citations), Neurology (113 citations), Physiology (178 citations) and Cell Biology (111 citations). Chuchu Wang has collaborated with scholars based in United States, China and Thailand. Frequent co-authors include Dan Li, Xiaotao Shen, Cong Liu, M Snyder, Chunyu Zhao, Daniel Hornburg, Si Wu, Shengnan Zhang, Wenyu Zhou and Xin Zhou. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications, Frontiers in Molecular Neuroscience, Journal of Biological Chemistry and eLife.
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.