Depeng Wu
Impact in
- Rheumatology top 5%
- Osteoarthritis Treatment and Mechanisms
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- MicroRNA in disease regulation
Papers in
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- Bone Metabolism and Diseases 3
- Wnt/β-catenin signaling in development and cancer 1
- Protein Kinase Regulation and GTPase Signaling 1
- Oncology 3
- Bone health and treatments 3
- Co-authors
- Bin Liu (4 shared papers)Tianwei He (5 shared papers)Limin Rong (5 shared papers)Yuyong Chen (2 shared papers)Lei He (2 shared papers)Jianghao Xing (1 shared paper)Zhenming Tian (1 shared paper)Lei Fan (1 shared paper)
- Journals
- Stem Cell Research & Therapy (2 papers)The FASEB Journal (1 paper)Journal of Cellular Physiology (1 paper)Frontiers in Cell and Developmental Biology (1 paper)Cell Death and Disease (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Depeng Wu
7 papers receiving 467 citations
Depeng Wu's Hit Papers
Peers
Comparison fields: 5 of 53
- Rheumatology 167
- Cancer Research 133
- Genetics 60
- Molecular Biology 301
- Orthopedics and Sports Medicine 34
Countries citing papers authored by Depeng Wu
This map shows the geographic impact of Depeng 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 Depeng Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Depeng Wu more than expected).
Fields of papers citing papers by Depeng Wu
This network shows the impact of papers produced by Depeng 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 Depeng Wu. The network helps show where Depeng Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Depeng 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 | Bone marrow mesenchymal stem cell-derived exosomes protect cartilage damage and relieve knee osteoarthritis pain in a rat model of osteoarthritis Hit paper breakdown → | 2020 | 313 |
| 2 | 2021 | 109 | |
| 3 | 2020 | 15 | |
| 4 | 2023 | 9 | |
| 5 | 2020 | 9 | |
| 6 | 2020 | 9 | |
| 7 | 2023 | 6 |
About Depeng Wu
Depeng Wu is a scholar working on Molecular Biology, Oncology, Rheumatology, Complementary and alternative medicine and Orthopedics and Sports Medicine, having authored 7 papers that have together received 470 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (3 papers), Bone Metabolism and Diseases (3 papers), Bone health and treatments (3 papers), Medicinal plant effects and applications (1 paper), Bone health and osteoporosis research (1 paper), NF-κB Signaling Pathways (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Rheumatology (167 citations), Cancer Research (133 citations), Genetics (60 citations), Molecular Biology (301 citations) and Orthopedics and Sports Medicine (34 citations). Depeng Wu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Bin Liu, Tianwei He, Limin Rong, Yuyong Chen, Lei He, Jianghao Xing, Zhenming Tian, Lei Fan, Qing Zhou and Can Liu. Their work appears in journals such as Stem Cell Research & Therapy, The FASEB Journal, Journal of Cellular Physiology, Frontiers in Cell and Developmental Biology and Cell Death and Disease.
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.