Changqing Su
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- RNA Interference and Gene Delivery
- Extracellular vesicles in disease
- Circular RNAs in diseases
Papers in
-
- RNA Interference and Gene Delivery 11
- Viral Infectious Diseases and Gene Expression in Insects 11
- CRISPR and Genetic Engineering 6
- Genetics 38
- Virus-based gene therapy research 34
- Co-authors
- Chunying Liu (13 shared papers)Weidan Ji (27 shared papers)Bin Sun (17 shared papers)Zhangxiao Peng (14 shared papers)Mengchao Wu (24 shared papers)Xuejing Lin (12 shared papers)Yang Xu (7 shared papers)Qijun Qian (25 shared papers)
- Journals
- Cancer Letters (12 papers)Oncotarget (7 papers)PLoS ONE (5 papers)Molecular Cancer Therapeutics (3 papers)Hepatology Research (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Changqing Su
102 papers receiving 2.9k citations
Changqing Su's Hit Papers
Peers
Comparison fields: 5 of 117
- Cancer Research 799
- Molecular Biology 1.8k
- Biotechnology 207
- Oncology 581
- Genetics 606
Countries citing papers authored by Changqing Su
This map shows the geographic impact of Changqing Su'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 Changqing Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changqing Su more than expected).
Fields of papers citing papers by Changqing Su
This network shows the impact of papers produced by Changqing Su. 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 Changqing Su. The network helps show where Changqing Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Changqing Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Design strategies and application progress of therapeutic exosomes Hit paper breakdown → | 2019 | 348 |
| 2 | 2014 | 189 | |
| 3 | 2013 | 155 | |
| 4 | 2017 | 142 | |
| 5 | 2015 | 98 | |
| 6 | 2015 | 93 | |
| 7 | 2020 | 87 | |
| 8 | 2017 | 71 | |
| 9 | 2010 | 70 | |
| 10 | 2013 | 70 | |
| 11 | 2019 | 69 | |
| 12 | 2012 | 65 | |
| 13 | 2008 | 56 | |
| 14 | 2015 | 56 | |
| 15 | 2006 | 52 | |
| 16 | 2004 | 48 | |
| 17 | 2011 | 47 | |
| 18 | 2006 | 44 | |
| 19 | 2018 | 43 | |
| 20 | 2006 | 42 |
About Changqing Su
Changqing Su is a scholar working on Molecular Biology, Genetics, Oncology, Biotechnology and Cancer Research, having authored 104 papers that have together received 2.9k indexed citations. Recurring topics across this work include Virus-based gene therapy research (34 papers), CAR-T cell therapy research (14 papers), Cancer Research and Treatments (13 papers), RNA Interference and Gene Delivery (11 papers), Viral Infectious Diseases and Gene Expression in Insects (11 papers), Cancer-related Molecular Pathways (6 papers), MicroRNA in disease regulation (6 papers) and CRISPR and Genetic Engineering (6 papers). The work is most often cited by research in Cancer Research (799 citations), Molecular Biology (1.8k citations), Biotechnology (207 citations), Oncology (581 citations) and Genetics (606 citations). Changqing Su has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Chunying Liu, Weidan Ji, Bin Sun, Zhangxiao Peng, Mengchao Wu, Xuejing Lin, Yang Xu, Qijun Qian, Quangen Gao and Yan Liu. Their work appears in journals such as Cancer Letters, Oncotarget, PLoS ONE, Molecular Cancer Therapeutics and Hepatology Research.
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.