Lu Wu
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Circular RNAs in diseases 4
- RNA modifications and cancer 3
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- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 4
- Co-authors
- Qianshan Ding (6 shared papers)Honggang Yu (3 shared papers)Ke He (3 shared papers)Lianlian Wu (4 shared papers)Honggang Yu (4 shared papers)Qizhan Liu (4 shared papers)Yong Guo (2 shared papers)Fuxiang Zhou (2 shared papers)
- Journals
- Environmental Pollution (2 papers)Journal of Clinical Oncology (1 paper)Chemico-Biological Interactions (1 paper)Plant Science (1 paper)Pancreas (1 paper)
- Partner nations
- ChinaSouth KoreaHong Kong
In The Last Decade
Lu Wu
21 papers receiving 352 citations
Peers
Comparison fields: 5 of 68
- Cancer Research 72
- Health Informatics 5
- Molecular Biology 157
- Oncology 54
- Cell Biology 35
Countries citing papers authored by Lu Wu
This map shows the geographic impact of Lu 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 Lu Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Wu more than expected).
Fields of papers citing papers by Lu Wu
This network shows the impact of papers produced by Lu 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 Lu Wu. The network helps show where Lu Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lu 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 45 | |
| 2 | 2017 | 44 | |
| 3 | 2018 | 36 | |
| 4 | 2018 | 34 | |
| 5 | 2023 | 31 | |
| 6 | 2018 | 29 | |
| 7 | 2021 | 25 | |
| 8 | 2021 | 19 | |
| 9 | 2016 | 17 | |
| 10 | 2022 | 17 | |
| 11 | 2021 | 15 | |
| 12 | 2019 | 14 | |
| 13 | 2023 | 7 | |
| 14 | 2020 | 6 | |
| 15 | 2025 | 4 | |
| 16 | 2004 | 3 | |
| 17 | 2021 | 2 | |
| 18 | 2002 | 2 | |
| 19 | 2002 | 2 | |
| 20 | 2024 | 2 |
About Lu Wu
Lu Wu is a scholar working on Molecular Biology, Cancer Research, Oncology, Surgery and Pulmonary and Respiratory Medicine, having authored 22 papers that have together received 355 indexed citations. Recurring topics across this work include Circular RNAs in diseases (4 papers), MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (3 papers), Sperm and Testicular Function (2 papers), Arsenic contamination and mitigation (2 papers), Traditional Chinese Medicine Analysis (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Cancer Research (72 citations), Health Informatics (5 citations), Molecular Biology (157 citations), Oncology (54 citations) and Cell Biology (35 citations). Lu Wu has collaborated with scholars based in China, South Korea and Hong Kong. Frequent co-authors include Qianshan Ding, Honggang Yu, Ke He, Lianlian Wu, Honggang Yu, Qizhan Liu, Yong Guo, Fuxiang Zhou, Jingshu Zhang and Zhen Wang. Their work appears in journals such as Environmental Pollution, Journal of Clinical Oncology, Chemico-Biological Interactions, Plant Science and Pancreas.
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.