Wujun Chen
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Advanced biosensing and bioanalysis techniques
- Circular RNAs in diseases
- Protein Degradation and Inhibitors
Papers in
-
- Circular RNAs in diseases 9
- Advanced biosensing and bioanalysis techniques 7
- Surgery 21
- Cholesterol and Lipid Metabolism 16
- Co-authors
- Dongming Xing (44 shared papers)Yudong Wu (20 shared papers)Renshuai Zhang (13 shared papers)Chao‐Ke Tang (12 shared papers)Kai Yin (8 shared papers)Yuchang Fu (7 shared papers)Jie Wang (8 shared papers)Dongming Xing (4 shared papers)
- Journals
- Clinica Chimica Acta (6 papers)Biosensors and Bioelectronics (3 papers)Frontiers in Immunology (3 papers)Atherosclerosis (3 papers)Pharmacology & Therapeutics (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Wujun Chen
71 papers receiving 2.1k citations
Wujun Chen's Hit Papers
Peers
Comparison fields: 5 of 122
- Cancer Research 435
- Molecular Biology 1.0k
- Immunology 275
- Oncology 238
- Surgery 349
Countries citing papers authored by Wujun Chen
This map shows the geographic impact of Wujun 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 Wujun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wujun Chen more than expected).
Fields of papers citing papers by Wujun Chen
This network shows the impact of papers produced by Wujun 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 Wujun Chen. The network helps show where Wujun Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Wujun 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 128 | |
| 2 | 2020 | 112 | |
| 3 | New-generation advanced PROTACs as potential therapeutic agents in cancer therapy Hit paper breakdown → | 2024 | 101 |
| 4 | 2012 | 99 | |
| 5 | 2022 | 81 | |
| 6 | 2021 | 80 | |
| 7 | 2012 | 69 | |
| 8 | 2020 | 64 | |
| 9 | 2021 | 59 | |
| 10 | 2023 | 58 | |
| 11 | 2020 | 56 | |
| 12 | 2021 | 56 | |
| 13 | 2013 | 56 | |
| 14 | 2021 | 53 | |
| 15 | 2012 | 51 | |
| 16 | 2023 | 48 | |
| 17 | 2021 | 43 | |
| 18 | 2020 | 42 | |
| 19 | 2012 | 41 | |
| 20 | 2021 | 40 |
About Wujun Chen
Wujun Chen is a scholar working on Molecular Biology, Surgery, Cancer Research, Immunology and Oncology, having authored 74 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (16 papers), MicroRNA in disease regulation (14 papers), Circular RNAs in diseases (9 papers), Cancer-related molecular mechanisms research (8 papers), Advanced biosensing and bioanalysis techniques (7 papers), Advanced Nanomaterials in Catalysis (5 papers), Atherosclerosis and Cardiovascular Diseases (5 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Cancer Research (435 citations), Molecular Biology (1.0k citations), Immunology (275 citations), Oncology (238 citations) and Surgery (349 citations). Wujun Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Dongming Xing, Yudong Wu, Renshuai Zhang, Chao‐Ke Tang, Kai Yin, Yuchang Fu, Jie Wang, Dongming Xing, Guojun Zhao and Yujing Zhang. Their work appears in journals such as Clinica Chimica Acta, Biosensors and Bioelectronics, Frontiers in Immunology, Atherosclerosis and Pharmacology & Therapeutics.
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.