Weiwei Chi
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Gout, Hyperuricemia, Uric Acid
Papers in ⓘ
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- Cancer-related molecular mechanisms research 9
- MicroRNA in disease regulation 3
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- Gout, Hyperuricemia, Uric Acid 3
- Co-authors
- Huan Cao (8 shared papers)Baoshan Wang (8 shared papers)Lei Zhao (9 shared papers)Weina Cui (7 shared papers)Wenxia Meng (7 shared papers)Wenwen Tang (1 shared paper)Venkatesh Mani (3 shared papers)Zahi A. Fayad (2 shared papers)
- Journals
- Frontiers in Microbiology (1 paper)Journal of Cellular Biochemistry (1 paper)Scientific Reports (1 paper)Gene (1 paper)Renal Failure (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Weiwei Chi
22 papers receiving 339 citations
Peers
Comparison fields: 5 of 70
- Cancer Research 175
- Nephrology 31
- Molecular Biology 208
- Periodontics 8
- Oncology 44
Countries citing papers authored by Weiwei Chi
This map shows the geographic impact of Weiwei Chi'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 Weiwei Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiwei Chi more than expected).
Fields of papers citing papers by Weiwei Chi
This network shows the impact of papers produced by Weiwei Chi. 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 Weiwei Chi. The network helps show where Weiwei Chi may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiwei Chi, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 58 | |
| 2 | 2019 | 44 | |
| 3 | 2019 | 36 | |
| 4 | 2020 | 30 | |
| 5 | 2019 | 25 | |
| 6 | 2018 | 21 | |
| 7 | 2018 | 20 | |
| 8 | 2018 | 18 | |
| 9 | 2020 | 17 | |
| 10 | 2024 | 16 | |
| 11 | 2022 | 14 | |
| 12 | 2020 | 12 | |
| 13 | 2022 | 9 | |
| 14 | 2022 | 5 | |
| 15 | 2022 | 4 | |
| 16 | Abstract 11821: Detection of Uric Acid Crystals in the Vasculature of Patients With Gout Using Dual-Energy Computed Tomography | 2018 | 2 |
| 17 | 2025 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2020 | 2 | |
| 20 | 2020 | 2 |
About Weiwei Chi
Weiwei Chi is a scholar working on Cancer Research, Nephrology, Periodontics, Molecular Biology and Physiology, having authored 22 papers that have together received 341 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (9 papers), RNA modifications and cancer (7 papers), Circular RNAs in diseases (5 papers), MicroRNA in disease regulation (3 papers), Gout, Hyperuricemia, Uric Acid (3 papers), Obstructive Sleep Apnea Research (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Advanced X-ray and CT Imaging (2 papers). The work is most often cited by research in Cancer Research (175 citations), Nephrology (31 citations), Molecular Biology (208 citations), Periodontics (8 citations) and Oncology (44 citations). Weiwei Chi has collaborated with scholars based in China and United States. Frequent co-authors include Huan Cao, Baoshan Wang, Lei Zhao, Weina Cui, Wenxia Meng, Wenwen Tang, Venkatesh Mani, Zahi A. Fayad, Adam Jacobi and Kexin Wang. Their work appears in journals such as Frontiers in Microbiology, Journal of Cellular Biochemistry, Scientific Reports, Gene and Renal Failure.
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.