Qing Chang
- Molecular Biology top 10%
- Biomedical Engineering top 5%
- Surgery top 5%
- Materials Chemistry top 10%
- Renewable Energy, Sustainability and the Environment top 5%
- Co-authors
- Lee J. MartinGuodong JiangHeqing TangLi ZhuWei WeiZhifen LinNan WangChao Chen
- Topics
- Hematopoietic Stem Cell Transplantation (11 papers)Immunotherapy and Immune Responses (9 papers)Bone Tissue Engineering Materials (9 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Qing Chang
175 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Molecular Biology 1.0k
- Biomedical Engineering 750
- Surgery 580
- Materials Chemistry 567
- Renewable Energy, Sustainability and the Environment 368
Countries citing papers authored by Qing Chang
This map shows the geographic impact of Qing 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 Qing Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Chang more than expected).
Fields of papers citing papers by Qing Chang
This network shows the impact of papers produced by Qing 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 Qing Chang. The network helps show where Qing Chang may publish in the future.
Co-authorship network of co-authors of Qing Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Qing Chang. A scholar is included among the top collaborators of Qing 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 Qing Chang. Qing 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 | 6 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 10 | |
| 6 | 5 | |
| 7 | 48 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 17 | |
| 13 | 165 | |
| 14 | Understanding the Impact of Service Reputation on the Online Group-buying Behaviors. | 1 |
| 15 | Transfection of Antisense Oligodeoxynucleotide Inhibits Heparanase Gene Expression and Invasive Ability of Human Pancreatic Cancer Cell in vitro | 2 |
| 16 | 1 | |
| 17 | 6 | |
| 18 | Identification of feeding stimulants for shrimp | 7 |
| 19 | 7 | |
| 20 | 6 |
About Qing Chang
Qing Chang is a scholar working on Hematology, Oncology and Neurology, having authored 184 papers that have together received 4.1k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (11 papers), Immunotherapy and Immune Responses (9 papers) and Bone Tissue Engineering Materials (9 papers). The work is most often cited by research in Genetics (291 citations), Sensory Systems (112 citations) and Renewable Energy, Sustainability and the Environment (368 citations). Qing Chang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Lee J. Martin, Guodong Jiang, Heqing Tang, Li Zhu, Wei Wei, Zhifen Lin, Nan Wang, Chao Chen, Xinquan Jiang and Wenjie Zhang. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Experimental 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.