Canming Chen
Impact in
-
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
-
- Cancer Cells and Metastasis
- HER2/EGFR in Cancer Research
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 12
- Cancer-related Molecular Pathways 5
- HER2/EGFR in Cancer Research 4
- Cancer Treatment and Pharmacology 3
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- Breast Cancer Treatment Studies 7
- Cancer Genomics and Diagnostics 3
- Co-authors
- Jiong Wu (11 shared papers)Zhi‐Ming Shao (1 shared paper)Wei Jin (1 shared paper)Guang‐Yu Liu (7 shared papers)Gen‐Hong Di (9 shared papers)Zhi‐Ming Shao (4 shared papers)Sheng Chen (2 shared papers)Yajia Gu (2 shared papers)
- Journals
- PLoS ONE (3 papers)Journal of Clinical Oncology (2 papers)Cancer Research (1 paper)Cancer (1 paper)China Ocean Engineering (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Canming Chen
22 papers receiving 321 citations
Peers
Comparison fields: 5 of 76
- Cancer Research 114
- Oncology 171
- Immunology 64
- Pathology and Forensic Medicine 45
- Biotechnology 19
Countries citing papers authored by Canming Chen
This map shows the geographic impact of Canming Chen'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 Canming Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Canming Chen more than expected).
Fields of papers citing papers by Canming Chen
This network shows the impact of papers produced by Canming Chen. 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 Canming Chen. The network helps show where Canming Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Canming Chen, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 96 | |
| 2 | 2011 | 38 | |
| 3 | 2014 | 33 | |
| 4 | 2019 | 22 | |
| 5 | 2011 | 20 | |
| 6 | 2013 | 18 | |
| 7 | 2021 | 12 | |
| 8 | 2012 | 12 | |
| 9 | 2021 | 10 | |
| 10 | 2016 | 10 | |
| 11 | 2011 | 9 | |
| 12 | 2021 | 9 | |
| 13 | 2019 | 8 | |
| 14 | 2007 | 6 | |
| 15 | 2022 | 6 | |
| 16 | 2015 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2023 | 2 | |
| 19 | [A study on the relationship between breast cancer molecular classification and prognosis]. | 2008 | 2 |
| 20 | 2023 | 2 |
About Canming Chen
Canming Chen is a scholar working on Oncology, Cancer Research, Molecular Biology, Pathology and Forensic Medicine and Genetics, having authored 25 papers that have together received 327 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (7 papers), Cancer-related Molecular Pathways (5 papers), HER2/EGFR in Cancer Research (4 papers), Breast Lesions and Carcinomas (4 papers), Cancer Treatment and Pharmacology (3 papers), Cancer Genomics and Diagnostics (3 papers), BRCA gene mutations in cancer (2 papers) and Retinoids in leukemia and cellular processes (2 papers). The work is most often cited by research in Cancer Research (114 citations), Oncology (171 citations), Immunology (64 citations), Pathology and Forensic Medicine (45 citations) and Biotechnology (19 citations). Canming Chen has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Jiong Wu, Zhi‐Ming Shao, Wei Jin, Guang‐Yu Liu, Gen‐Hong Di, Zhi‐Ming Shao, Sheng Chen, Yajia Gu, Ke‐Da Yu and Wentao Yang. Their work appears in journals such as PLoS ONE, Journal of Clinical Oncology, Cancer Research, Cancer and China Ocean Engineering.
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.