Yu-jin Qu
Impact in
- Genetics top 5%
- Neurogenetic and Muscular Disorders Research
-
- RNA modifications and cancer
- RNA Research and Splicing
- Cancer-related gene regulation
- Muscle Physiology and Disorders
Papers in
- Genetics 22
- Neurogenetic and Muscular Disorders Research 22
-
- RNA modifications and cancer 16
- RNA Research and Splicing 8
- Muscle Physiology and Disorders 1
- Co-authors
- Fang Song (27 shared papers)Yuwei Jin (20 shared papers)Hong Wang (14 shared papers)Yanyu Lü (2 shared papers)Wenhui Zhang (3 shared papers)Yan Li (2 shared papers)Yan Li (1 shared paper)Hong Wang (6 shared papers)
- Journals
- Neuromuscular Disorders (2 papers)Journal of Child Neurology (2 papers)Journal of Zhejiang University SCIENCE B (2 papers)Gene (1 paper)Journal of Molecular Diagnostics (1 paper)
- Partner nations
- ChinaUnited StatesEgypt
In The Last Decade
Yu-jin Qu
30 papers receiving 302 citations
Peers
Comparison fields: 5 of 29
- Genetics 264
- Molecular Biology 199
- Surgery 84
- Clinical Biochemistry 4
- Genetics 14
Countries citing papers authored by Yu-jin Qu
This map shows the geographic impact of Yu-jin Qu'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 Yu-jin Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu-jin Qu more than expected).
Fields of papers citing papers by Yu-jin Qu
This network shows the impact of papers produced by Yu-jin Qu. 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 Yu-jin Qu. The network helps show where Yu-jin Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu-jin Qu, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 43 | |
| 2 | 2013 | 33 | |
| 3 | 2014 | 29 | |
| 4 | 2012 | 23 | |
| 5 | 2011 | 20 | |
| 6 | 2016 | 18 | |
| 7 | 2014 | 15 | |
| 8 | Compound heterozygous mutation in two unrelated cases of Chinese spinal muscular atrophy patients. | 2011 | 13 |
| 9 | 2018 | 13 | |
| 10 | 2023 | 11 | |
| 11 | 2017 | 11 | |
| 12 | 2015 | 10 | |
| 13 | 2021 | 9 | |
| 14 | 2021 | 8 | |
| 15 | 2023 | 7 | |
| 16 | 2021 | 6 | |
| 17 | 2021 | 5 | |
| 18 | 2015 | 5 | |
| 19 | 2017 | 4 | |
| 20 | 2012 | 4 |
About Yu-jin Qu
Yu-jin Qu is a scholar working on Genetics, Molecular Biology, Surgery, Civil and Structural Engineering and Clinical Biochemistry, having authored 30 papers that have together received 304 indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (22 papers), RNA modifications and cancer (16 papers), RNA Research and Splicing (8 papers), Congenital Anomalies and Fetal Surgery (6 papers), Infrastructure Maintenance and Monitoring (1 paper), Muscle Physiology and Disorders (1 paper), Metabolism and Genetic Disorders (1 paper) and Structural Health Monitoring Techniques (1 paper). The work is most often cited by research in Genetics (264 citations), Molecular Biology (199 citations), Surgery (84 citations), Clinical Biochemistry (4 citations) and Genetics (14 citations). Yu-jin Qu has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include Fang Song, Yuwei Jin, Hong Wang, Yanyu Lü, Wenhui Zhang, Yan Li, Yan Li, Hong Wang, Juan Du and Yanyan Cao. Their work appears in journals such as Neuromuscular Disorders, Journal of Child Neurology, Journal of Zhejiang University SCIENCE B, Gene and Journal of Molecular Diagnostics.
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.