Shun‐Qing Liang
- Molecular Biology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Genetics top 10%
- Oncology
- Epidemiology
- Co-authors
- Wen XueRalph A. SchmidRen‐Wang PengErik J. SontheimerHaitang YangGuangping GaoPengpeng LiuChunwei Zheng
- Topics
- CRISPR and Genetic Engineering (10 papers)Occupational and environmental lung diseases (6 papers)RNA Interference and Gene Delivery (5 papers)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Shun‐Qing Liang
29 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Molecular Biology 922
- Pulmonary and Respiratory Medicine 215
- Genetics 212
- Oncology 200
- Epidemiology 94
Countries citing papers authored by Shun‐Qing Liang
This map shows the geographic impact of Shun‐Qing Liang'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 Shun‐Qing Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shun‐Qing Liang more than expected).
Fields of papers citing papers by Shun‐Qing Liang
This network shows the impact of papers produced by Shun‐Qing Liang. 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 Shun‐Qing Liang. The network helps show where Shun‐Qing Liang may publish in the future.
Co-authorship network of co-authors of Shun‐Qing Liang
This figure shows the co-authorship network connecting the top 25 collaborators of Shun‐Qing Liang. A scholar is included among the top collaborators of Shun‐Qing Liang 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 Shun‐Qing Liang. Shun‐Qing Liang 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 | 5 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 43 | |
| 6 | 8 | |
| 7 | 3 | |
| 8 | Combinatorial design of nanoparticles for pulmonary mRNA delivery and genome editingbreakdown → | 186 |
| 9 | 1 | |
| 10 | 34 | |
| 11 | 118 | |
| 12 | Improved prime editors enable pathogenic allele correction and cancer modelling in adult micebreakdown → | 196 |
| 13 | 22 | |
| 14 | 29 | |
| 15 | 31 | |
| 16 | 89 | |
| 17 | 42 | |
| 18 | 45 | |
| 19 | 2 | |
| 20 | 25 |
About Shun‐Qing Liang
Shun‐Qing Liang is a scholar working on Business and International Management, Endocrinology and Molecular Biology, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (10 papers), Occupational and environmental lung diseases (6 papers) and RNA Interference and Gene Delivery (5 papers). The work is most often cited by research in Business and International Management (61 citations), Aging (24 citations) and Molecular Biology (922 citations). Shun‐Qing Liang has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Wen Xue, Ralph A. Schmid, Ren‐Wang Peng, Erik J. Sontheimer, Haitang Yang, Guangping Gao, Pengpeng Liu, Chunwei Zheng, Gregor J. Kocher and Thomas M. Marti. Their work appears in journals such as Nature Communications, Nature Biotechnology and Hepatology.
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.