Weiqun Chen
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Circular RNAs in diseases
- Extracellular vesicles in disease
- RNA modifications and cancer
Papers in
-
- Circular RNAs in diseases 7
- RNA Research and Splicing 4
-
- MicroRNA in disease regulation 11
- Cancer-related molecular mechanisms research 8
- Co-authors
- Zhongxin Lu (16 shared papers)Shuiyi Liu (14 shared papers)Alexandra Navrotsky (5 shared papers)Tangwei Wu (12 shared papers)Hui Hu (8 shared papers)Xiaoyi Li (8 shared papers)Deyong Kong (4 shared papers)Yong Ning (4 shared papers)
- Journals
- Carcinogenesis (3 papers)Plant Disease (3 papers)International Journal of Medical Sciences (2 papers)Technology in Cancer Research & Treatment (2 papers)Oncology Reports (2 papers)
- Partner nations
- ChinaUnited StatesSouth Africa
In The Last Decade
Weiqun Chen
54 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 118
- Cancer Research 541
- Molecular Biology 741
- Immunology 126
- Pathology and Forensic Medicine 94
- Catalysis 36
Countries citing papers authored by Weiqun Chen
This map shows the geographic impact of Weiqun Chen'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 Weiqun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiqun Chen more than expected).
Fields of papers citing papers by Weiqun Chen
This network shows the impact of papers produced by Weiqun Chen. 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 Weiqun Chen. The network helps show where Weiqun Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiqun Chen, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 133 | |
| 2 | 2021 | 114 | |
| 3 | 2020 | 93 | |
| 4 | 2019 | 71 | |
| 5 | 2014 | 70 | |
| 6 | 2014 | 64 | |
| 7 | 2015 | 62 | |
| 8 | 2013 | 56 | |
| 9 | 2019 | 53 | |
| 10 | 2019 | 51 | |
| 11 | 2006 | 51 | |
| 12 | 2009 | 43 | |
| 13 | 2020 | 41 | |
| 14 | 2018 | 38 | |
| 15 | 2006 | 33 | |
| 16 | 2005 | 32 | |
| 17 | 2021 | 24 | |
| 18 | 2021 | 24 | |
| 19 | 2015 | 24 | |
| 20 | 2012 | 23 |
About Weiqun Chen
Weiqun Chen is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Materials Chemistry and Plant Science, having authored 55 papers that have together received 1.4k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (11 papers), Cancer-related molecular mechanisms research (8 papers), Circular RNAs in diseases (7 papers), Plant Pathogens and Fungal Diseases (6 papers), Catalytic Processes in Materials Science (6 papers), Advancements in Solid Oxide Fuel Cells (5 papers), RNA Research and Splicing (4 papers) and Catalysis and Oxidation Reactions (3 papers). The work is most often cited by research in Cancer Research (541 citations), Molecular Biology (741 citations), Immunology (126 citations), Pathology and Forensic Medicine (94 citations) and Catalysis (36 citations). Weiqun Chen has collaborated with scholars based in China, United States and South Africa. Frequent co-authors include Zhongxin Lu, Shuiyi Liu, Alexandra Navrotsky, Tangwei Wu, Hui Hu, Xiaoyi Li, Deyong Kong, Yong Ning, Hongda Lu and Yong Li. Their work appears in journals such as Carcinogenesis, Plant Disease, International Journal of Medical Sciences, Technology in Cancer Research & Treatment and Oncology Reports.
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.