Chengjun Wu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA Research and Splicing
- RNA modifications and cancer
- Circular RNAs in diseases
- RNA and protein synthesis mechanisms
Papers in
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- RNA Research and Splicing 10
- RNA modifications and cancer 7
- Epidemiology 14
- Cervical Cancer and HPV Research 10
- Hepatitis B Virus Studies 4
- Co-authors
- Stefan Schwartz (13 shared papers)Qi Liu (4 shared papers)Leiming Fang (3 shared papers)Naoko Kajitani (9 shared papers)Lijing Gong (6 shared papers)Haitao Yin (3 shared papers)Chaoqun Wang (1 shared paper)Yun Zhou (2 shared papers)
In The Last Decade
Chengjun Wu
54 papers receiving 764 citations
Peers
Comparison fields: 5 of 104
- Cancer Research 221
- Molecular Biology 425
- Epidemiology 144
- Oncology 106
- Immunology 65
Countries citing papers authored by Chengjun Wu
This map shows the geographic impact of Chengjun Wu'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 Chengjun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chengjun Wu more than expected).
Fields of papers citing papers by Chengjun Wu
This network shows the impact of papers produced by Chengjun Wu. 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 Chengjun Wu. The network helps show where Chengjun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chengjun Wu, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 73 | |
| 2 | 2021 | 53 | |
| 3 | 2019 | 50 | |
| 4 | 2017 | 49 | |
| 5 | 2011 | 48 | |
| 6 | 2015 | 39 | |
| 7 | 2018 | 32 | |
| 8 | 2022 | 29 | |
| 9 | 2017 | 28 | |
| 10 | 2018 | 27 | |
| 11 | 2010 | 26 | |
| 12 | 2020 | 25 | |
| 13 | 2016 | 21 | |
| 14 | 2021 | 21 | |
| 15 | 2017 | 21 | |
| 16 | 2022 | 18 | |
| 17 | 2018 | 17 | |
| 18 | 2019 | 16 | |
| 19 | 2023 | 16 | |
| 20 | 2022 | 16 |
About Chengjun Wu
Chengjun Wu is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Oncology and Genetics, having authored 62 papers that have together received 774 indexed citations. Recurring topics across this work include RNA Research and Splicing (10 papers), Cervical Cancer and HPV Research (10 papers), Virus-based gene therapy research (8 papers), Cancer-related molecular mechanisms research (8 papers), RNA modifications and cancer (7 papers), Viral Infections and Immunology Research (5 papers), Hepatitis B Virus Studies (4 papers) and Semiconductor materials and devices (4 papers). The work is most often cited by research in Cancer Research (221 citations), Molecular Biology (425 citations), Epidemiology (144 citations), Oncology (106 citations) and Immunology (65 citations). Chengjun Wu has collaborated with scholars based in China, Sweden and Taiwan. Frequent co-authors include Stefan Schwartz, Qi Liu, Leiming Fang, Naoko Kajitani, Lijing Gong, Haitao Yin, Chaoqun Wang, Yun Zhou, Xia Liu and Yajiang Yin. Their work appears in journals such as Frontiers in Cellular and Infection Microbiology, ECS Journal of Solid State Science and Technology, Nucleic Acids Research, Virus Research and Bioorganic Chemistry.
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.