Qing Chang
- Infectious Diseases top 2%
- Modeling and Simulation top 1%
- Cancer Research top 5%
- MicroRNA in disease regulation 6
- Immunology top 10%
- Molecular Biology top 5%
- Protein Kinase Regulation and GTPase Signaling 6
- Cell death mechanisms and regulation 5
-
- Tissue Engineering and Regenerative Medicine 8
- Cardiac Structural Anomalies and Repair 5
-
- Cardiac Valve Diseases and Treatments 6
-
- Thyroid Cancer Diagnosis and Treatment 5
-
- Reproductive Biology and Fertility 5
- Journals
- Proceedings of the National Academy of Sciences (2 papers)The Lancet (1 paper)Journal of Biological Chemistry (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Qing Chang
126 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Infectious Diseases 857
- Modeling and Simulation 197
- Cancer Research 340
- Immunology 418
- Molecular Biology 1.3k
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
The 25 scholars most cited alongside Qing 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 | 2024 | 7 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 22 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 15 | |
| 10 | 2022 | 1 | |
| 11 | 2021 | 1 | |
| 12 | 2020 | 9 | |
| 13 | 2018 | 2 | |
| 14 | 2014 | 3 | |
| 15 | 2014 | 14 | |
| 16 | 2014 | 63 | |
| 17 | Effect of Vascular Endothelial Growth Factor(VEGF) on Regulation of Angiogenesis Around Skin Follicle of Mammal | 2010 | 1 |
| 18 | 2007 | 32 | |
| 19 | Microsatellite variation and genetic diversity in the black-crowned night heron Nycticorax nycticorax in the lower reaches of Yangtze River | 2005 | 1 |
| 20 | 2002 | 2 |
About Qing Chang
Qing Chang is a scholar working on Cancer Research, Cardiology and Cardiovascular Medicine and Reproductive Medicine, having authored 128 papers that have together received 3.4k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (8 papers), Cardiac Valve Diseases and Treatments (6 papers), MicroRNA in disease regulation (6 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Cell death mechanisms and regulation (5 papers), Cardiac Structural Anomalies and Repair (5 papers), Thyroid Cancer Diagnosis and Treatment (5 papers) and Reproductive Biology and Fertility (5 papers). The work is most often cited by research in Infectious Diseases (857 citations), Modeling and Simulation (197 citations) and Cancer Research (340 citations). Qing Chang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Leo L. M. Poon, Philip H. Li, Kwok‐Yung Yuen, KH Chan, Jun Xu, Malik Peiris, NS Zhong, Yi Guan, Xiaoyong Yang and Andrew J. Paterson. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological 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.