Chang‐Jiun Wu
- Oncology top 5%
- Molecular Biology
- Immunology top 10%
- Cancer Research top 10%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Raghu KalluriHikaru SugimotoHuamin WangSujuan YangYang ChenValerie S. LeBleuJiha KimPeiling Tsou
- Topics
- Cancer Immunotherapy and Biomarkers (6 papers)Immunotherapy and Immune Responses (5 papers)Cancer Genomics and Diagnostics (5 papers)
- Cited by
- OncologyCancer ResearchImmunology
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical OncologyGenes & Development
- Partner nations
- United StatesChinaGermany
In The Last Decade
Chang‐Jiun Wu
30 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Oncology 700
- Molecular Biology 599
- Immunology 375
- Cancer Research 297
- Pulmonary and Respiratory Medicine 221
Countries citing papers authored by Chang‐Jiun Wu
This map shows the geographic impact of Chang‐Jiun 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 Chang‐Jiun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang‐Jiun Wu more than expected).
Fields of papers citing papers by Chang‐Jiun Wu
This network shows the impact of papers produced by Chang‐Jiun 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 Chang‐Jiun Wu. The network helps show where Chang‐Jiun Wu may publish in the future.
Co-authorship network of co-authors of Chang‐Jiun Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Chang‐Jiun Wu. A scholar is included among the top collaborators of Chang‐Jiun 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 Chang‐Jiun Wu. Chang‐Jiun 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 | 2 | |
| 3 | 58 | |
| 4 | 39 | |
| 5 | Oncogenic collagen I homotrimers from cancer cells bind to α3β1 integrin and impact tumor microbiome and immunity to promote pancreatic cancerbreakdown → | 164 |
| 6 | 6 | |
| 7 | Type I collagen deletion in αSMA+ myofibroblasts augments immune suppression and accelerates progression of pancreatic cancerbreakdown → | 373 |
| 8 | 42 | |
| 9 | 10 | |
| 10 | 21 | |
| 11 | 99 | |
| 12 | 95 | |
| 13 | 116 | |
| 14 | 69 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 8 | |
| 18 | 1 | |
| 19 | Integrative Genomic Analysis Implicates Gain of PIK3CA at 3q26 and MYC at 8q24 in Chronic Lymphocytic Leukemia | 3 |
| 20 | 20 |
About Chang‐Jiun Wu
Chang‐Jiun Wu is a scholar working on Cancer Research, Aging and Oncology, having authored 30 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (6 papers), Immunotherapy and Immune Responses (5 papers) and Cancer Genomics and Diagnostics (5 papers). The work is most often cited by research in Oncology (700 citations), Cancer Research (297 citations) and Immunology (375 citations). Chang‐Jiun Wu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Raghu Kalluri, Hikaru Sugimoto, Huamin Wang, Sujuan Yang, Yang Chen, Valerie S. LeBleu, Jiha Kim, Peiling Tsou, Ronald A. DePinho and Jianhua Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Genes & Development.
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.