Zhaoping Wu
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Glioma Diagnosis and Treatment
Papers in
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- Ferroptosis and cancer prognosis 5
- Co-authors
- Xingjun Jiang (13 shared papers)Quanwei Zhou (7 shared papers)Wen Yin (8 shared papers)Guihua Tang (4 shared papers)Caiping Ren (10 shared papers)Yudong Cao (6 shared papers)Jun Tan (6 shared papers)Zhaoqi Xin (5 shared papers)
- Journals
- Frontiers in Genetics (4 papers)Cancer Cell International (2 papers)Bioactive Materials (1 paper)Advanced Science (1 paper)Medicine (1 paper)
- Partner nations
- ChinaSaudi ArabiaUnited States
In The Last Decade
Zhaoping Wu
21 papers receiving 369 citations
Peers
Comparison fields: 5 of 65
- Cancer Research 82
- Genetics 53
- Pulmonary and Respiratory Medicine 78
- Molecular Biology 121
- Oncology 44
Countries citing papers authored by Zhaoping Wu
This map shows the geographic impact of Zhaoping 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 Zhaoping Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhaoping Wu more than expected).
Fields of papers citing papers by Zhaoping Wu
This network shows the impact of papers produced by Zhaoping 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 Zhaoping Wu. The network helps show where Zhaoping Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhaoping 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 65 | |
| 2 | 2020 | 53 | |
| 3 | 2021 | 51 | |
| 4 | 2019 | 50 | |
| 5 | 2022 | 21 | |
| 6 | 2020 | 19 | |
| 7 | 2024 | 16 | |
| 8 | 2021 | 16 | |
| 9 | 2013 | 14 | |
| 10 | 2021 | 12 | |
| 11 | 2021 | 11 | |
| 12 | 2024 | 10 | |
| 13 | 2021 | 8 | |
| 14 | 2023 | 6 | |
| 15 | 2023 | 6 | |
| 16 | 2020 | 6 | |
| 17 | 2024 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 1 |
About Zhaoping Wu
Zhaoping Wu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Surgery and Genetics, having authored 23 papers that have together received 373 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (5 papers), Cancer-related molecular mechanisms research (4 papers), Spinal Cord Injury Research (3 papers), Glioma Diagnosis and Treatment (3 papers), Nerve injury and regeneration (2 papers), MicroRNA in disease regulation (2 papers), Cerebrospinal fluid and hydrocephalus (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Cancer Research (82 citations), Genetics (53 citations), Pulmonary and Respiratory Medicine (78 citations), Molecular Biology (121 citations) and Oncology (44 citations). Zhaoping Wu has collaborated with scholars based in China, Saudi Arabia and United States. Frequent co-authors include Xingjun Jiang, Quanwei Zhou, Wen Yin, Guihua Tang, Caiping Ren, Yudong Cao, Jun Tan, Zhaoqi Xin, Hecheng Zhu and Zhipeng Jiang. Their work appears in journals such as Frontiers in Genetics, Cancer Cell International, Bioactive Materials, Advanced Science and Medicine.
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.