Han Chu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Lipids, and Metabolism
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- Ferroptosis and cancer prognosis
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Papers in
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- Circular RNAs in diseases 3
- RNA modifications and cancer 3
- Oncology 8
- Cancer Immunotherapy and Biomarkers 6
- Co-authors
- Rongji Dai (3 shared papers)Yuanyuan Liu (2 shared papers)Weijun Su (1 shared paper)Bo Li (1 shared paper)Nafissa Ismail (1 shared paper)Qingzhu Jia (6 shared papers)Jin Zheng (6 shared papers)Bo Zhu (4 shared papers)
- Journals
- Journal of Biomolecular Structure and Dynamics (2 papers)Scientific Reports (1 paper)RNA Biology (1 paper)Academic Radiology (1 paper)New Journal of Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Han Chu
28 papers receiving 625 citations
Peers
Comparison fields: 5 of 87
- Cancer Research 261
- Pulmonary and Respiratory Medicine 226
- Molecular Biology 369
- Computational Theory and Mathematics 47
- Immunology 62
Countries citing papers authored by Han Chu
This map shows the geographic impact of Han 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 Han Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han Chu more than expected).
Fields of papers citing papers by Han Chu
This network shows the impact of papers produced by Han 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 Han Chu. The network helps show where Han Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Han 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 214 | |
| 2 | 2022 | 87 | |
| 3 | 2018 | 86 | |
| 4 | 2019 | 38 | |
| 5 | 2020 | 27 | |
| 6 | 2019 | 24 | |
| 7 | 2023 | 20 | |
| 8 | 2018 | 15 | |
| 9 | 2020 | 12 | |
| 10 | 2019 | 9 | |
| 11 | 2022 | 9 | |
| 12 | 2019 | 9 | |
| 13 | 2022 | 8 | |
| 14 | 2020 | 8 | |
| 15 | 2021 | 7 | |
| 16 | 2023 | 7 | |
| 17 | 2020 | 7 | |
| 18 | 2023 | 6 | |
| 19 | 2022 | 6 | |
| 20 | 2022 | 6 |
About Han Chu
Han Chu is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Immunology, having authored 32 papers that have together received 629 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (6 papers), Computational Drug Discovery Methods (4 papers), Circular RNAs in diseases (3 papers), Immunotherapy and Immune Responses (3 papers), RNA modifications and cancer (3 papers), MicroRNA in disease regulation (3 papers), Ferroptosis and cancer prognosis (3 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Cancer Research (261 citations), Pulmonary and Respiratory Medicine (226 citations), Molecular Biology (369 citations), Computational Theory and Mathematics (47 citations) and Immunology (62 citations). Han Chu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Rongji Dai, Yuanyuan Liu, Weijun Su, Bo Li, Nafissa Ismail, Qingzhu Jia, Jin Zheng, Bo Zhu, Jie Chao and Haixia Long. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Scientific Reports, RNA Biology, Academic Radiology and New Journal of Chemistry.
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.