Xiaodan Chang
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
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- Extracellular vesicles in disease
- RNA Interference and Gene Delivery
- Circular RNAs in diseases
- Advanced biosensing and bioanalysis techniques
Papers in
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- DNA Repair Mechanisms 1
- Gut microbiota and health 1
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- Adaptive Control of Nonlinear Systems 1
- Co-authors
- Huanhuan Jia (1 shared paper)Hongzhao Qi (1 shared paper)Xin Hou (1 shared paper)Lixia Long (1 shared paper)Jin Zhao (1 shared paper)Xubo Yuan (1 shared paper)Yu Ren (1 shared paper)Shanshan Zhang (1 shared paper)
- Journals
- Gene (1 paper)ACS Nano (1 paper)Expert Systems with Applications (1 paper)Engineering Applications of Artificial Intelligence (1 paper)Microbiology Spectrum (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Xiaodan Chang
8 papers receiving 506 citations
Xiaodan Chang's Hit Papers
Peers
Comparison fields: 5 of 68
- Cancer Research 229
- Molecular Biology 381
- Biomaterials 58
- Biomedical Engineering 124
- Immunology 45
Countries citing papers authored by Xiaodan Chang
This map shows the geographic impact of Xiaodan Chang'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 Xiaodan Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaodan Chang more than expected).
Fields of papers citing papers by Xiaodan Chang
This network shows the impact of papers produced by Xiaodan Chang. 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 Xiaodan Chang. The network helps show where Xiaodan Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaodan Chang, 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 | Blood Exosomes Endowed with Magnetic and Targeting Properties for Cancer Therapy Hit paper breakdown → | 2016 | 431 |
| 2 | 2023 | 32 | |
| 3 | 2023 | 20 | |
| 4 | T3 inhibits the calcification of vascular smooth muscle cells and the potential mechanism. | 2016 | 11 |
| 5 | 2017 | 6 | |
| 6 | 2024 | 5 | |
| 7 | 2017 | 3 | |
| 8 | 2025 | 2 |
About Xiaodan Chang
Xiaodan Chang is a scholar working on Molecular Biology, Control and Systems Engineering, Mechanical Engineering, Urology and Computational Mechanics, having authored 8 papers that have together received 510 indexed citations. Recurring topics across this work include Hydraulic and Pneumatic Systems (2 papers), DNA Repair Mechanisms (1 paper), Enzyme Structure and Function (1 paper), Hair Growth and Disorders (1 paper), Psoriasis: Treatment and Pathogenesis (1 paper), Pediatric health and respiratory diseases (1 paper), Adaptive Control of Nonlinear Systems (1 paper) and Gut microbiota and health (1 paper). The work is most often cited by research in Cancer Research (229 citations), Molecular Biology (381 citations), Biomaterials (58 citations), Biomedical Engineering (124 citations) and Immunology (45 citations). Xiaodan Chang has collaborated with scholars based in China and United States. Frequent co-authors include Huanhuan Jia, Hongzhao Qi, Xin Hou, Lixia Long, Jin Zhao, Xubo Yuan, Yu Ren, Shanshan Zhang, Chaoyong Liu and Chunsheng Kang. Their work appears in journals such as Gene, ACS Nano, Expert Systems with Applications, Engineering Applications of Artificial Intelligence and Microbiology Spectrum.
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.