Jiaming Wu
Impact in
- Molecular Medicine top 10%
- Curcumin's Biomedical Applications
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Circular RNAs in diseases 5
- Angiogenesis and VEGF in Cancer 3
- Co-authors
- Aiyun Wang (3 shared papers)Ming Gao (3 shared papers)Yin Lu (3 shared papers)Wenxing Chen (2 shared papers)Bo Xu (2 shared papers)Zhiheng Chen (3 shared papers)Yi Zhu (2 shared papers)Honggang Jiang (2 shared papers)
- Journals
- Journal of Materials Chemistry A (1 paper)Small (1 paper)Biochemical and Biophysical Research Communications (1 paper)Proceedings of the National Academy of Sciences (1 paper)Advanced Biology (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Jiaming Wu
24 papers receiving 476 citations
Peers
Comparison fields: 5 of 89
- Molecular Medicine 51
- Cancer Research 128
- Complementary and alternative medicine 35
- Molecular Biology 243
- Renewable Energy, Sustainability and the Environment 52
Countries citing papers authored by Jiaming Wu
This map shows the geographic impact of Jiaming Wu'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 Jiaming Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiaming Wu more than expected).
Fields of papers citing papers by Jiaming Wu
This network shows the impact of papers produced by Jiaming Wu. 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 Jiaming Wu. The network helps show where Jiaming Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiaming Wu, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 94 | |
| 2 | 2010 | 61 | |
| 3 | 2024 | 51 | |
| 4 | 2018 | 48 | |
| 5 | 2009 | 44 | |
| 6 | 2020 | 33 | |
| 7 | 2019 | 29 | |
| 8 | 2021 | 18 | |
| 9 | 2022 | 13 | |
| 10 | 2024 | 13 | |
| 11 | 2024 | 13 | |
| 12 | 2018 | 11 | |
| 13 | 2023 | 9 | |
| 14 | 2024 | 9 | |
| 15 | 2024 | 9 | |
| 16 | 2018 | 9 | |
| 17 | 2024 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 1993 | 3 |
About Jiaming Wu
Jiaming Wu is a scholar working on Molecular Biology, Materials Chemistry, Cancer Research, Immunology and Epidemiology, having authored 25 papers that have together received 485 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Circular RNAs in diseases (5 papers), interferon and immune responses (4 papers), Cancer-related molecular mechanisms research (3 papers), CO2 Reduction Techniques and Catalysts (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Cell Adhesion Molecules Research (2 papers) and Electrocatalysts for Energy Conversion (2 papers). The work is most often cited by research in Molecular Medicine (51 citations), Cancer Research (128 citations), Complementary and alternative medicine (35 citations), Molecular Biology (243 citations) and Renewable Energy, Sustainability and the Environment (52 citations). Jiaming Wu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Aiyun Wang, Ming Gao, Yin Lu, Wenxing Chen, Bo Xu, Zhiheng Chen, Yi Zhu, Honggang Jiang, Jin Li and Xuning Shen. Their work appears in journals such as Journal of Materials Chemistry A, Small, Biochemical and Biophysical Research Communications, Proceedings of the National Academy of Sciences and Advanced Biology.
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.