Changping Wu
- Immunology top 5%
- Oncology top 5%
- Molecular Biology
- Cancer Research
- Surgery
- Co-authors
- Jingting JiangMei JiLujun ChenNing XuYibei ZhuXueguang ZhangBin XuLiangrong Shi
- Topics
- Immune Cell Function and Interaction (13 papers)Cancer Immunotherapy and Biomarkers (13 papers)Immunotherapy and Immune Responses (6 papers)
- Cited by
- ImmunologyOncologyCancer Research
- Partner nations
- ChinaUnited StatesCzechia
In The Last Decade
Changping Wu
22 papers receiving 884 citations
Peers
Comparison fields: 5 of 66
- Immunology 602
- Oncology 576
- Molecular Biology 175
- Cancer Research 99
- Surgery 84
Countries citing papers authored by Changping Wu
This map shows the geographic impact of Changping 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 Changping Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changping Wu more than expected).
Fields of papers citing papers by Changping Wu
This network shows the impact of papers produced by Changping 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 Changping Wu. The network helps show where Changping Wu may publish in the future.
Co-authorship network of co-authors of Changping Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Changping Wu. A scholar is included among the top collaborators of Changping Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Changping Wu. Changping Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 24 | |
| 4 | 30 | |
| 5 | 2 | |
| 6 | Correlations of recurrence after radical surgery for esophageal cancer with glucose-lipid metabolism, insulin resistance, inflammation, stress and serum p53 expression. | 10 |
| 7 | 80 | |
| 8 | 35 | |
| 9 | 19 | |
| 10 | 61 | |
| 11 | 16 | |
| 12 | B7-H6 expression correlates with cancer progression and patient's survival in human ovarian cancer. | 63 |
| 13 | 9 | |
| 14 | 15 | |
| 15 | 10 | |
| 16 | 72 | |
| 17 | 102 | |
| 18 | Mechanisms and significance of lipoprotein(a) in hepatocellular carcinoma. | 10 |
| 19 | Prospective study of chemotherapy in combination with cytokine-induced killer cells in patients suffering from advanced non-small cell lung cancer. | 110 |
| 20 | 127 |
About Changping Wu
Changping Wu is a scholar working on Immunology, Oncology and Gastroenterology, having authored 22 papers that have together received 902 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), Cancer Immunotherapy and Biomarkers (13 papers) and Immunotherapy and Immune Responses (6 papers). The work is most often cited by research in Immunology (602 citations), Oncology (576 citations) and Cancer Research (99 citations). Changping Wu has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Jingting Jiang, Mei Ji, Lujun Chen, Ning Xu, Yibei Zhu, Xueguang Zhang, Bin Xu, Liangrong Shi, Xiao Zheng and Jiemin Zhao. Their work appears in journals such as Annals of Oncology, Frontiers in Immunology and Cell Reports.
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.