Lichun Wu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
-
- RNA modifications and cancer 3
- RNA Research and Splicing 2
-
- Cancer-related molecular mechanisms research 6
- MicroRNA in disease regulation 2
- Co-authors
- Kaijiong Zhang (8 shared papers)Yi Zhang (4 shared papers)Lian Liu (3 shared papers)Jinbo Liu (3 shared papers)Li Zhang (3 shared papers)Jie Yang (1 shared paper)Xiaoyu Song (3 shared papers)Xinyang Li (1 shared paper)
In The Last Decade
Lichun Wu
29 papers receiving 337 citations
Peers
Comparison fields: 5 of 85
- Cancer Research 212
- Molecular Biology 210
- Research and Theory 1
- Epidemiology 37
- Control and Systems Engineering 24
Countries citing papers authored by Lichun Wu
This map shows the geographic impact of Lichun 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 Lichun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lichun Wu more than expected).
Fields of papers citing papers by Lichun Wu
This network shows the impact of papers produced by Lichun 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 Lichun Wu. The network helps show where Lichun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lichun 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 131 | |
| 2 | 2016 | 34 | |
| 3 | 2013 | 27 | |
| 4 | 2017 | 25 | |
| 5 | 2023 | 22 | |
| 6 | 2018 | 21 | |
| 7 | 2017 | 13 | |
| 8 | [Long non-coding RNA HOTAIR in plasma as a potential biomarker for breast cancer diagnosis]. | 2016 | 11 |
| 9 | 2023 | 7 | |
| 10 | 2021 | 5 | |
| 11 | 2021 | 5 | |
| 12 | [Study on 31 cases with cesarean scar pregnancy treated by transvaginal surgery]. | 2011 | 5 |
| 13 | 2024 | 4 | |
| 14 | 2021 | 4 | |
| 15 | 2025 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 2 |
About Lichun Wu
Lichun Wu is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Surgery, having authored 32 papers that have together received 340 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (3 papers), Esophageal Cancer Research and Treatment (3 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), RNA Research and Splicing (2 papers), Wound Healing and Treatments (2 papers), MicroRNA in disease regulation (2 papers) and Dental Implant Techniques and Outcomes (2 papers). The work is most often cited by research in Cancer Research (212 citations), Molecular Biology (210 citations), Research and Theory (1 citation), Epidemiology (37 citations) and Control and Systems Engineering (24 citations). Lichun Wu has collaborated with scholars based in China, Taiwan and Japan. Frequent co-authors include Kaijiong Zhang, Yi Zhang, Lian Liu, Jinbo Liu, Li Zhang, Jie Yang, Xiaoyu Song, Xinyang Li, Zunzhen Zhang and Jenq-Der Chen. Their work appears in journals such as Cancer Biomarkers, SpringerPlus, Scientific Reports, Aging and Chinese Chemical Letters.
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.