Changshun Wu
Impact in
-
- Cancer, Lipids, and Metabolism
- Cancer-related molecular mechanisms research
Papers in
- Oncology 5
- Cancer Immunotherapy and Biomarkers 2
-
- Lung Cancer Treatments and Mutations 2
- Sarcoma Diagnosis and Treatment 1
- Co-authors
- Jihong Pan (2 shared papers)Lin Wang (1 shared paper)Hong Feng (4 shared papers)Huiling Liu (3 shared papers)Baoying Yuan (3 shared papers)Xingwen Wang (2 shared papers)Xiang‐An Li (1 shared paper)Dan Wang (1 shared paper)
- Journals
- Medicine (1 paper)BioMed Research International (1 paper)Arthritis Research & Therapy (1 paper)Artificial Intelligence Review (1 paper)Tumor Biology (1 paper)
- Partner nations
- ChinaFranceUnited Kingdom
In The Last Decade
Changshun Wu
16 papers receiving 234 citations
Peers
Comparison fields: 5 of 55
- Cancer Research 75
- Oncology 39
- Rheumatology 19
- Biological Psychiatry 3
- Biomaterials 17
Countries citing papers authored by Changshun Wu
This map shows the geographic impact of Changshun 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 Changshun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changshun Wu more than expected).
Fields of papers citing papers by Changshun Wu
This network shows the impact of papers produced by Changshun 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 Changshun Wu. The network helps show where Changshun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Changshun 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 | 2018 | 59 | |
| 2 | 2015 | 59 | |
| 3 | 2018 | 32 | |
| 4 | E7 peptide-functionalized Ti6Al4V alloy for BMSC enrichment in bone tissue engineering. | 2018 | 13 |
| 5 | 2018 | 11 | |
| 6 | 2025 | 9 | |
| 7 | 2016 | 9 | |
| 8 | 2018 | 8 | |
| 9 | 2015 | 7 | |
| 10 | 2017 | 6 | |
| 11 | 2024 | 5 | |
| 12 | 2016 | 5 | |
| 13 | 2015 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2018 | 3 | |
| 16 | 2022 | 1 | |
| 17 | 2025 | 0 |
About Changshun Wu
Changshun Wu is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Biomedical Engineering, Surgery and Molecular Biology, having authored 17 papers that have together received 236 indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (3 papers), Estrogen and related hormone effects (2 papers), Cell Adhesion Molecules Research (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Lung Cancer Treatments and Mutations (2 papers), Orthopaedic implants and arthroplasty (2 papers), Titanium Alloys Microstructure and Properties (2 papers) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Cancer Research (75 citations), Oncology (39 citations), Rheumatology (19 citations), Biological Psychiatry (3 citations) and Biomaterials (17 citations). Changshun Wu has collaborated with scholars based in China, France and United Kingdom. Frequent co-authors include Jihong Pan, Lin Wang, Hong Feng, Huiling Liu, Baoying Yuan, Xingwen Wang, Xiang‐An Li, Dan Wang, Junqing Han and Ling Guo. Their work appears in journals such as Medicine, BioMed Research International, Arthritis Research & Therapy, Artificial Intelligence Review and Tumor 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.