Zhonghua Chu
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Immune cells in cancer
- Immunotherapy and Immune Responses
Papers in
-
- Protein Tyrosine Phosphatases 7
- Circular RNAs in diseases 3
- Oncology 15
- Lung Cancer Research Studies 5
- Co-authors
- Yujie Zeng (15 shared papers)Heng Wu (9 shared papers)Heyang Xu (12 shared papers)Lai Wei (10 shared papers)Lu Liu (7 shared papers)Qiusheng Lan (13 shared papers)Shuang Chen (2 shared papers)Min Jun (3 shared papers)
- Journals
- BMC Cancer (3 papers)Oncology Reports (2 papers)Oncotarget (2 papers)Molecular Cancer Therapeutics (1 paper)Clinical and Translational Gastroenterology (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Zhonghua Chu
33 papers receiving 759 citations
Peers
Comparison fields: 5 of 84
- Cancer Research 182
- Immunology 207
- Oncology 227
- Molecular Biology 461
- Biological Psychiatry 10
Countries citing papers authored by Zhonghua Chu
This map shows the geographic impact of Zhonghua Chu'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 Zhonghua Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhonghua Chu more than expected).
Fields of papers citing papers by Zhonghua Chu
This network shows the impact of papers produced by Zhonghua Chu. 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 Zhonghua Chu. The network helps show where Zhonghua Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhonghua Chu, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 121 | |
| 2 | 2014 | 100 | |
| 3 | 2017 | 53 | |
| 4 | 2021 | 53 | |
| 5 | 2013 | 47 | |
| 6 | 2016 | 46 | |
| 7 | 2019 | 38 | |
| 8 | 2017 | 30 | |
| 9 | 2011 | 30 | |
| 10 | 2016 | 26 | |
| 11 | 2014 | 25 | |
| 12 | 2012 | 23 | |
| 13 | 2021 | 22 | |
| 14 | 2022 | 21 | |
| 15 | 2013 | 18 | |
| 16 | 2014 | 16 | |
| 17 | 2014 | 16 | |
| 18 | Proteomic analysis identifies translationally controlled tumor protein as a mediator of phosphatase of regenerating liver-3-promoted proliferation, migration and invasion in human colon cancer cells. | 2011 | 11 |
| 19 | 2021 | 10 | |
| 20 | 2020 | 10 |
About Zhonghua Chu
Zhonghua Chu is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Surgery, having authored 36 papers that have together received 759 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Protein Tyrosine Phosphatases (7 papers), Lung Cancer Research Studies (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Immune cells in cancer (4 papers), Neuroendocrine Tumor Research Advances (4 papers) and Circular RNAs in diseases (3 papers). The work is most often cited by research in Cancer Research (182 citations), Immunology (207 citations), Oncology (227 citations), Molecular Biology (461 citations) and Biological Psychiatry (10 citations). Zhonghua Chu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yujie Zeng, Heng Wu, Heyang Xu, Lai Wei, Lu Liu, Qiusheng Lan, Shuang Chen, Min Jun, Jie Wang and Lin Li. Their work appears in journals such as BMC Cancer, Oncology Reports, Oncotarget, Molecular Cancer Therapeutics and Clinical and Translational Gastroenterology.
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.