Hanbin Chen
- Cancer Research top 5%
- MicroRNA in disease regulation 6
- Cancer-related molecular mechanisms research 4
-
- Circular RNAs in diseases 4
-
- Ferroptosis and cancer prognosis 5
- Gastric Cancer Management and Outcomes 4
-
- Topic Modeling 5
- Natural Language Processing Techniques 5
- Text Readability and Simplification 3
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Hanbin Chen
37 papers receiving 957 citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Cancer Research 512
- Molecular Biology 615
- Oncology 177
- Immunology 100
- Pulmonary and Respiratory Medicine 140
Countries citing papers authored by Hanbin Chen
This map shows the geographic impact of Hanbin 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 Hanbin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanbin Chen more than expected).
Fields of papers citing papers by Hanbin Chen
This network shows the impact of papers produced by Hanbin 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 Hanbin Chen. The network helps show where Hanbin Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hanbin 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 4 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 3 | |
| 10 | 2020 | 55 | |
| 11 | 2020 | 70 | |
| 12 | 2019 | 44 | |
| 13 | 2018 | 7 | |
| 14 | Evaluation of Tumor-Derived Exosomal miRNA as Potential Diagnostic Biomarkers for Early-Stage Non–Small Cell Lung Cancer Using Next-Generation Sequencingbreakdown → | 2017 | 437 |
| 15 | 2017 | 9 | |
| 16 | 2017 | 6 | |
| 17 | 2017 | 26 | |
| 18 | 2016 | 27 | |
| 19 | 2016 | 5 | |
| 20 | A Simplification-Translation-Restoration Framework for Cross-Domain SMT Applications | 2012 | 13 |
About Hanbin Chen
Hanbin Chen is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Immunology, Oncology and Molecular Biology, having authored 40 papers that have together received 964 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Topic Modeling (5 papers), Ferroptosis and cancer prognosis (5 papers), Natural Language Processing Techniques (5 papers), Cancer-related molecular mechanisms research (4 papers), Gastric Cancer Management and Outcomes (4 papers), Circular RNAs in diseases (4 papers) and Text Readability and Simplification (3 papers). The work is most often cited by research in Cancer Research (512 citations), Molecular Biology (615 citations), Oncology (177 citations), Immunology (100 citations) and Pulmonary and Respiratory Medicine (140 citations). Hanbin Chen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Congying Xie, Meng Hou, Wenzheng Xia, Didi Chen, Baochai Lin, Lihao Zhao, Shaoran Fei, Huafang Su, Xiance Jin and Deyao Xie. Their work appears in journals such as Aging, Frontiers in Immunology, Medicine, Cell Death and Disease and Computers in Biology and 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.