Xiangjun Chen
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Clinical Biochemistry top 10%
- Bacterial Identification and Susceptibility Testing
Papers in
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- Cancer-related molecular mechanisms research 6
- MicroRNA in disease regulation 3
- Cancer, Lipids, and Metabolism 1
- Cancer Genomics and Diagnostics 1
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- RNA Research and Splicing 3
- Circular RNAs in diseases 3
- Co-authors
- Sha Liu (8 shared papers)Weijing Sun (6 shared papers)Hao Dong (3 shared papers)Xingwei Yao (5 shared papers)Xiaochun Zhao (3 shared papers)Dongmei Han (3 shared papers)Yu Li (1 shared paper)Xiao Ma (1 shared paper)
In The Last Decade
Xiangjun Chen
10 papers receiving 255 citations
Peers
Comparison fields: 5 of 49
- Cancer Research 151
- Clinical Biochemistry 32
- Endocrinology 20
- Molecular Biology 139
- Molecular Medicine 10
Countries citing papers authored by Xiangjun Chen
This map shows the geographic impact of Xiangjun 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 Xiangjun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiangjun Chen more than expected).
Fields of papers citing papers by Xiangjun Chen
This network shows the impact of papers produced by Xiangjun 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 Xiangjun Chen. The network helps show where Xiangjun Chen may publish in the future.
Co-authors
The 21 scholars most cited alongside Xiangjun 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
| # | Work | ||
|---|---|---|---|
| 1 | Long noncoding RNA MHENCR promotes melanoma progression via regulating miR-425/489-mediated PI3K-Akt pathway. | 2017 | 57 |
| 2 | 2017 | 52 | |
| 3 | 2020 | 43 | |
| 4 | 2017 | 41 | |
| 5 | 2021 | 26 | |
| 6 | 2018 | 15 | |
| 7 | 2017 | 12 | |
| 8 | Meta analysis of the association of cholesterol with pancreatic carcinoma risk. | 2015 | 10 |
| 9 | 2020 | 5 | |
| 10 | 2018 | 3 |
About Xiangjun Chen
Xiangjun Chen is a scholar working on Cancer Research, Molecular Biology, Epidemiology, Infectious Diseases and Dermatology, having authored 10 papers that have together received 264 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (3 papers), RNA Research and Splicing (3 papers), Circular RNAs in diseases (3 papers), Cancer, Lipids, and Metabolism (1 paper), Facial Rejuvenation and Surgery Techniques (1 paper), Burn Injury Management and Outcomes (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Cancer Research (151 citations), Clinical Biochemistry (32 citations), Endocrinology (20 citations), Molecular Biology (139 citations) and Molecular Medicine (10 citations). Xiangjun Chen has collaborated with scholars based in China and Taiwan. Frequent co-authors include Sha Liu, Weijing Sun, Hao Dong, Xingwei Yao, Xiaochun Zhao, Dongmei Han, Yu Li, Xiao Ma, Lee‐Jene Teng and Po‐Ren Hsueh. Their work appears in journals such as Cancer Gene Therapy, Journal of Microbiology Immunology and Infection, Frontiers in Oncology, BioMed Research International and Cancer Management and 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.