Zhijun Wu
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- Cardiovascular Health and Risk Factors 6
- Cardiovascular Function and Risk Factors 5
- Heart Failure Treatment and Management 4
- Cancer Research top 10%
- MicroRNA in disease regulation 9
- Cancer-related molecular mechanisms research 8
- Nephrology top 5%
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- Diabetes, Cardiovascular Risks, and Lipoproteins 5
- Molecular Biology top 10%
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- Genetic Associations and Epidemiology 6
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- Phytochemicals and Antioxidant Activities 5
- Journals
- Journal of Clinical Oncology (2 papers)Applied Physics Letters (1 paper)PLoS ONE (8 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Zhijun Wu
94 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 132
- Cardiology and Cardiovascular Medicine 470
- Cancer Research 300
- Nephrology 126
- Endocrinology, Diabetes and Metabolism 239
- Molecular Biology 743
Countries citing papers authored by Zhijun Wu
This map shows the geographic impact of Zhijun 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 Zhijun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhijun Wu more than expected).
Fields of papers citing papers by Zhijun Wu
This network shows the impact of papers produced by Zhijun 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 Zhijun Wu. The network helps show where Zhijun Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhijun 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 18 | |
| 3 | 2023 | 46 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 4 | |
| 8 | 2021 | 4 | |
| 9 | 2021 | 16 | |
| 10 | 2020 | 24 | |
| 11 | 2020 | 4 | |
| 12 | 2019 | 15 | |
| 13 | 2018 | 9 | |
| 14 | Small particles big effect? - Investigating ice nucleation abilities of soot particles | 2017 | 1 |
| 15 | Hygroscopicity of atmospheric sub-micrometer particles in various environments in China. | 2017 | 2 |
| 16 | LC-ESI-MS/MS analysis of chemical constituents in Yinhuang Qingfei capsule | 2016 | 2 |
| 17 | 2015 | 45 | |
| 18 | 2014 | 16 | |
| 19 | 2013 | 7 | |
| 20 | 2012 | 34 |
About Zhijun Wu
Zhijun Wu is a scholar working on Cardiology and Cardiovascular Medicine, Cancer Research and Biochemistry, having authored 104 papers that have together received 2.0k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (9 papers), Cancer-related molecular mechanisms research (8 papers), Cardiovascular Health and Risk Factors (6 papers), Genetic Associations and Epidemiology (6 papers), Cardiovascular Function and Risk Factors (5 papers), Phytochemicals and Antioxidant Activities (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Heart Failure Treatment and Management (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (470 citations), Cancer Research (300 citations) and Nephrology (126 citations). Zhijun Wu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xiang Gao, Shouling Wu, Wei Jin, Lin Lu, Jing Zhuang, Zhe Huang, Shuohua Chen, Cheng Jin, Anand Vaidya and Penny M. Kris‐Etherton. Their work appears in journals such as Journal of Clinical Oncology, Applied Physics Letters and PLoS ONE.
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.