Chenjun Bai
Impact in
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- MicroRNA in disease regulation
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- Advanced biosensing and bioanalysis techniques
- Extracellular vesicles in disease
- DNA Repair Mechanisms
- RNA Interference and Gene Delivery
- Circular RNAs in diseases
Papers in
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- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 3
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- DNA Repair Mechanisms 5
- RNA modifications and cancer 4
- RNA Interference and Gene Delivery 3
- RNA Research and Splicing 3
- Co-authors
- Ping‐Kun Zhou (22 shared papers)Dafei Xie (5 shared papers)Teng Ma (2 shared papers)Aixue Huang (5 shared papers)Ningsheng Shao (5 shared papers)Jie Dong (4 shared papers)Hongmei Ding (4 shared papers)Tao Fang (2 shared papers)
In The Last Decade
Chenjun Bai
29 papers receiving 712 citations
Peers
Comparison fields: 5 of 84
- Cancer Research 150
- Molecular Biology 461
- Oncology 90
- Infectious Diseases 61
- Immunology 59
Countries citing papers authored by Chenjun Bai
This map shows the geographic impact of Chenjun Bai'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 Chenjun Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenjun Bai more than expected).
Fields of papers citing papers by Chenjun Bai
This network shows the impact of papers produced by Chenjun Bai. 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 Chenjun Bai. The network helps show where Chenjun Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenjun Bai, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 121 | |
| 2 | 2020 | 119 | |
| 3 | 2015 | 86 | |
| 4 | 2020 | 37 | |
| 5 | 2020 | 36 | |
| 6 | 2015 | 35 | |
| 7 | 2015 | 32 | |
| 8 | 2024 | 29 | |
| 9 | 2020 | 27 | |
| 10 | 2023 | 22 | |
| 11 | 2023 | 19 | |
| 12 | 2023 | 17 | |
| 13 | 2020 | 17 | |
| 14 | 2024 | 15 | |
| 15 | 2017 | 14 | |
| 16 | 2022 | 13 | |
| 17 | 2020 | 12 | |
| 18 | 2025 | 12 | |
| 19 | 2016 | 10 | |
| 20 | 2018 | 10 |
About Chenjun Bai
Chenjun Bai is a scholar working on Cancer Research, Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 32 papers that have together received 724 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (5 papers), Effects of Radiation Exposure (5 papers), MicroRNA in disease regulation (5 papers), RNA modifications and cancer (4 papers), Cancer-related molecular mechanisms research (3 papers), RNA Interference and Gene Delivery (3 papers), interferon and immune responses (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Cancer Research (150 citations), Molecular Biology (461 citations), Oncology (90 citations), Infectious Diseases (61 citations) and Immunology (59 citations). Chenjun Bai has collaborated with scholars based in China, Serbia and Singapore. Frequent co-authors include Ping‐Kun Zhou, Dafei Xie, Teng Ma, Aixue Huang, Ningsheng Shao, Jie Dong, Hongmei Ding, Tao Fang, Shanshan Gao and Xuemei Liu. Their work appears in journals such as International Journal of Molecular Sciences, Scientific Reports, Chemosphere, International Journal of Biological Sciences and Biosensors and Bioelectronics.
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.