Lanxiang Wu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Medicine top 10%
Papers in
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- Circular RNAs in diseases 8
- RNA modifications and cancer 7
- RNA Research and Splicing 4
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- Cancer-related molecular mechanisms research 9
- MicroRNA in disease regulation 4
- Co-authors
- Chunjie Wen (21 shared papers)Hong‐Hao Zhou (17 shared papers)Hong‐Hao Zhou (8 shared papers)Lijuan Fu (7 shared papers)Ge Xu (4 shared papers)Hecun Zou (4 shared papers)Jiafeng Huang (3 shared papers)Shuai He (7 shared papers)
- Journals
- Cell Death and Disease (2 papers)Cancer Gene Therapy (2 papers)British Journal of Clinical Pharmacology (2 papers)PLoS ONE (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- ChinaNetherlandsUnited States
In The Last Decade
Lanxiang Wu
41 papers receiving 950 citations
Peers
Comparison fields: 5 of 103
- Cancer Research 248
- Molecular Medicine 44
- Pharmacology 66
- Molecular Biology 457
- Oncology 137
Countries citing papers authored by Lanxiang Wu
This map shows the geographic impact of Lanxiang 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 Lanxiang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lanxiang Wu more than expected).
Fields of papers citing papers by Lanxiang Wu
This network shows the impact of papers produced by Lanxiang 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 Lanxiang Wu. The network helps show where Lanxiang Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lanxiang 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 168 | |
| 2 | 2019 | 73 | |
| 3 | 2017 | 43 | |
| 4 | 2016 | 41 | |
| 5 | 2011 | 40 | |
| 6 | 2018 | 38 | |
| 7 | 2018 | 37 | |
| 8 | 2020 | 37 | |
| 9 | 2014 | 35 | |
| 10 | 2024 | 34 | |
| 11 | 2019 | 32 | |
| 12 | 2020 | 31 | |
| 13 | 2022 | 27 | |
| 14 | 2022 | 22 | |
| 15 | 2017 | 22 | |
| 16 | 2014 | 22 | |
| 17 | 2020 | 21 | |
| 18 | 2017 | 21 | |
| 19 | 2013 | 20 | |
| 20 | 2022 | 19 |
About Lanxiang Wu
Lanxiang Wu is a scholar working on Molecular Biology, Cancer Research, Oncology, Pharmacology and Pulmonary and Respiratory Medicine, having authored 41 papers that have together received 955 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (9 papers), Cancer-related molecular mechanisms research (9 papers), Circular RNAs in diseases (8 papers), RNA modifications and cancer (7 papers), Lung Cancer Treatments and Mutations (5 papers), RNA Research and Splicing (4 papers), MicroRNA in disease regulation (4 papers) and Cancer Mechanisms and Therapy (3 papers). The work is most often cited by research in Cancer Research (248 citations), Molecular Medicine (44 citations), Pharmacology (66 citations), Molecular Biology (457 citations) and Oncology (137 citations). Lanxiang Wu has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Chunjie Wen, Hong‐Hao Zhou, Hong‐Hao Zhou, Lijuan Fu, Ge Xu, Hecun Zou, Jiafeng Huang, Shuai He, Xia Qin and Bin Wang. Their work appears in journals such as Cell Death and Disease, Cancer Gene Therapy, British Journal of Clinical Pharmacology, PLoS ONE and Nucleic Acids Research.
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.