Dajiang Wu
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Orthopedics and Sports Medicine top 10%
- Tendon Structure and Treatment
Papers in
- Surgery 14
- Scoliosis diagnosis and treatment 6
- Nerve Injury and Rehabilitation 2
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- RNA Research and Splicing 2
- Bone Metabolism and Diseases 2
- Co-authors
- Wenbin Ding (9 shared papers)Fang Ji (7 shared papers)Fengning Li (1 shared paper)Tiesheng Hou (1 shared paper)Shunzhi Yu (2 shared papers)Guangchao Wang (3 shared papers)Dake Tong (4 shared papers)Hao Tang (4 shared papers)
In The Last Decade
Dajiang Wu
30 papers receiving 541 citations
Peers
Comparison fields: 5 of 71
- Cancer Research 143
- Orthopedics and Sports Medicine 59
- Surgery 191
- Pathology and Forensic Medicine 51
- Molecular Biology 182
Countries citing papers authored by Dajiang Wu
This map shows the geographic impact of Dajiang 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 Dajiang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dajiang Wu more than expected).
Fields of papers citing papers by Dajiang Wu
This network shows the impact of papers produced by Dajiang 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 Dajiang Wu. The network helps show where Dajiang Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dajiang 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 129 | |
| 2 | 2013 | 59 | |
| 3 | 2015 | 57 | |
| 4 | 2014 | 31 | |
| 5 | 2013 | 22 | |
| 6 | 2011 | 21 | |
| 7 | 2021 | 21 | |
| 8 | 2012 | 18 | |
| 9 | 2023 | 18 | |
| 10 | 2010 | 17 | |
| 11 | 2018 | 17 | |
| 12 | 2021 | 15 | |
| 13 | 2020 | 15 | |
| 14 | 2011 | 15 | |
| 15 | 2019 | 15 | |
| 16 | 2012 | 14 | |
| 17 | 2011 | 10 | |
| 18 | 2019 | 10 | |
| 19 | 2010 | 8 | |
| 20 | 2022 | 7 |
About Dajiang Wu
Dajiang Wu is a scholar working on Surgery, Molecular Biology, Cancer Research, Pharmacology and Pathology and Forensic Medicine, having authored 30 papers that have together received 552 indexed citations. Recurring topics across this work include Scoliosis diagnosis and treatment (6 papers), Cancer-related molecular mechanisms research (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Tendon Structure and Treatment (2 papers), RNA Research and Splicing (2 papers), Bone Metabolism and Diseases (2 papers), Botulinum Toxin and Related Neurological Disorders (2 papers) and Nerve Injury and Rehabilitation (2 papers). The work is most often cited by research in Cancer Research (143 citations), Orthopedics and Sports Medicine (59 citations), Surgery (191 citations), Pathology and Forensic Medicine (51 citations) and Molecular Biology (182 citations). Dajiang Wu has collaborated with scholars based in China, Canada and Germany. Frequent co-authors include Wenbin Ding, Fang Ji, Fengning Li, Tiesheng Hou, Shunzhi Yu, Guangchao Wang, Dake Tong, Hao Tang, Qiang Wei and Di Li. Their work appears in journals such as Spine, Archives of Orthopaedic and Trauma Surgery, Journal of Cereal Science, Frontiers in Bioengineering and Biotechnology and Journal of Orthopaedic Surgery and Research.
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.