Yanjun Qu
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- Extracellular vesicles in disease
- RNA modifications and cancer
- RNA Interference and Gene Delivery
- RNA Research and Splicing
Papers in
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- Circular RNAs in diseases 4
- RNA Research and Splicing 2
- TGF-β signaling in diseases 1
-
- MicroRNA in disease regulation 9
- Cancer-related molecular mechanisms research 7
- Co-authors
- Haiyang Zhang (11 shared papers)Yi Ba (11 shared papers)Guoguang Ying (11 shared papers)Jingjing Duan (10 shared papers)Ting Deng (10 shared papers)Dingzhi Huang (8 shared papers)Likun Zhou (8 shared papers)Shaohua Ge (7 shared papers)
- Journals
- Oncotarget (5 papers)Oncology Reports (2 papers)Protein & Cell (1 paper)Cancer Letters (1 paper)Composites Communications (1 paper)
- Partner nations
- ChinaUnited StatesNorway
In The Last Decade
Yanjun Qu
16 papers receiving 484 citations
Peers
Comparison fields: 5 of 67
- Cancer Research 327
- Molecular Biology 370
- Neurology 20
- Pulmonary and Respiratory Medicine 53
- Oncology 44
Countries citing papers authored by Yanjun Qu
This map shows the geographic impact of Yanjun 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 Yanjun Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanjun Qu more than expected).
Fields of papers citing papers by Yanjun Qu
This network shows the impact of papers produced by Yanjun 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 Yanjun Qu. The network helps show where Yanjun Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanjun 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
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 98 | |
| 2 | 2016 | 59 | |
| 3 | 2015 | 47 | |
| 4 | 2016 | 47 | |
| 5 | 2016 | 45 | |
| 6 | 2017 | 44 | |
| 7 | 2017 | 25 | |
| 8 | 2017 | 23 | |
| 9 | 2016 | 19 | |
| 10 | 2015 | 17 | |
| 11 | 2016 | 17 | |
| 12 | 2021 | 13 | |
| 13 | 2016 | 12 | |
| 14 | 2013 | 10 | |
| 15 | 2020 | 10 | |
| 16 | 2024 | 2 |
About Yanjun Qu
Yanjun Qu is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Oncology and Surgery, having authored 16 papers that have together received 488 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (9 papers), Cancer-related molecular mechanisms research (7 papers), Circular RNAs in diseases (4 papers), RNA Research and Splicing (2 papers), Cancer Mechanisms and Therapy (2 papers), TGF-β signaling in diseases (1 paper), Computational Drug Discovery Methods (1 paper) and Silicone and Siloxane Chemistry (1 paper). The work is most often cited by research in Cancer Research (327 citations), Molecular Biology (370 citations), Neurology (20 citations), Pulmonary and Respiratory Medicine (53 citations) and Oncology (44 citations). Yanjun Qu has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Haiyang Zhang, Yi Ba, Guoguang Ying, Jingjing Duan, Ting Deng, Dingzhi Huang, Likun Zhou, Shaohua Ge, Tao Ning and Ming Bai. Their work appears in journals such as Oncotarget, Oncology Reports, Protein & Cell, Cancer Letters and Composites Communications.
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.