Jing Chang
- Molecular Biology
- Complementary and alternative medicine top 5%
- Cancer Research
- Surgery
- Statistics, Probability and Uncertainty top 5%
- Co-authors
- Ting-qian LiBing MaoTao FanZeyu XiongGang WangTaixiang WuJia GuoJia Liu
- Topics
- Traditional Chinese Medicine Studies (3 papers)Meta-analysis and systematic reviews (3 papers)Herbal Medicine Research Studies (2 papers)
- Cited by
- Complementary and alternative medicineStatistics, Probability and UncertaintyRehabilitation
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Jing Chang
31 papers receiving 497 citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Molecular Biology 178
- Complementary and alternative medicine 82
- Cancer Research 68
- Surgery 47
- Statistics, Probability and Uncertainty 46
Countries citing papers authored by Jing Chang
This map shows the geographic impact of Jing 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 Jing Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Chang more than expected).
Fields of papers citing papers by Jing Chang
This network shows the impact of papers produced by Jing 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 Jing Chang. The network helps show where Jing Chang may publish in the future.
Co-authorship network of co-authors of Jing Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Jing Chang. A scholar is included among the top collaborators of Jing Chang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jing Chang. Jing Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 10 | |
| 13 | Nebulized exosomes derived from allogenic adipose tissue mesenchymal stromal cells in patients with severe COVID-19: a pilot studybreakdown → | 131 |
| 14 | 3 | |
| 15 | 63 | |
| 16 | 8 | |
| 17 | Aidi Injection Plus Transcatheter Arterial Chemoembolization or Chemotherapy for Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis | 2 |
| 18 | 3 | |
| 19 | 125 | |
| 20 | A Double-Blind Randomized Controlled Trial of Jinlianqingre Capsule in the Treatment of Acute Upper Respiratory Tract Infection (External Wind-heat Syndrome) | 4 |
About Jing Chang
Jing Chang is a scholar working on Complementary and alternative medicine, Statistics, Probability and Uncertainty and Biochemistry, having authored 34 papers that have together received 507 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Studies (3 papers), Meta-analysis and systematic reviews (3 papers) and Herbal Medicine Research Studies (2 papers). The work is most often cited by research in Complementary and alternative medicine (82 citations), Statistics, Probability and Uncertainty (46 citations) and Rehabilitation (32 citations). Jing Chang has collaborated with scholars based in China, United States and France. Frequent co-authors include Ting-qian Li, Bing Mao, Tao Fan, Zeyu Xiong, Gang Wang, Taixiang Wu, Jia Guo, Jia Liu, Xiaohong Chen and Guanjian Liu. Their work appears in journals such as Bioresource Technology, Sensors and Phytochemistry.
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.