Chia-Chin Wu
- Molecular Biology top 5%
- Oncology top 2%
- Cancer Research top 1%
- Pulmonary and Respiratory Medicine top 5%
- Immunology top 5%
- Co-authors
- Raghu KalluriHikaru SugimotoValerie S. LeBleuJulienne L. CarstensJiha KimXiaofeng ZhengKathleen M. McAndrewsTsvetelina Pentcheva‐Hoang
- Topics
- Cancer Genomics and Diagnostics (6 papers)Sarcoma Diagnosis and Treatment (6 papers)Pancreatic and Hepatic Oncology Research (5 papers)
- Cited by
- Cancer ResearchOncologyNephrology
- Partner nations
- United StatesBrazilTaiwan
In The Last Decade
Chia-Chin Wu
34 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Molecular Biology 2.4k
- Oncology 1.6k
- Cancer Research 1.3k
- Pulmonary and Respiratory Medicine 477
- Immunology 460
Countries citing papers authored by Chia-Chin Wu
This map shows the geographic impact of Chia-Chin 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 Chia-Chin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia-Chin Wu more than expected).
Fields of papers citing papers by Chia-Chin Wu
This network shows the impact of papers produced by Chia-Chin 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 Chia-Chin Wu. The network helps show where Chia-Chin Wu may publish in the future.
Co-authorship network of co-authors of Chia-Chin Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Chia-Chin Wu. A scholar is included among the top collaborators of Chia-Chin 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 Chia-Chin Wu. Chia-Chin 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 | 0 | |
| 2 | 6 | |
| 3 | 7 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | Identification of Functional Heterogeneity of Carcinoma-Associated Fibroblasts with Distinct IL6-Mediated Therapy Resistance in Pancreatic Cancerbreakdown → | 191 |
| 8 | 13 | |
| 9 | 40 | |
| 10 | 16 | |
| 11 | 44 | |
| 12 | 6 | |
| 13 | 46 | |
| 14 | Generation and testing of clinical-grade exosomes for pancreatic cancerbreakdown → | 633 |
| 15 | Epithelial-to-mesenchymal transition induces cell cycle arrest and parenchymal damage in renal fibrosisbreakdown → | 749 |
| 16 | Epithelial-to-mesenchymal transition is dispensable for metastasis but induces chemoresistance in pancreatic cancerbreakdown → | 1591 |
| 17 | 119 | |
| 18 | 40 | |
| 19 | 14 | |
| 20 | 4 |
About Chia-Chin Wu
Chia-Chin Wu is a scholar working on Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 38 papers that have together received 3.9k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (6 papers), Sarcoma Diagnosis and Treatment (6 papers) and Pancreatic and Hepatic Oncology Research (5 papers). The work is most often cited by research in Cancer Research (1.3k citations), Oncology (1.6k citations) and Nephrology (268 citations). Chia-Chin Wu has collaborated with scholars based in United States, Brazil and Taiwan. Frequent co-authors include Raghu Kalluri, Hikaru Sugimoto, Valerie S. LeBleu, Julienne L. Carstens, Jiha Kim, Xiaofeng Zheng, Kathleen M. McAndrews, Tsvetelina Pentcheva‐Hoang, Birgitta C. Burckhardt and Sara Lovisa. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Medicine.
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.