Aibing Wu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Cancer Cells and Metastasis
- Cancer-related Molecular Pathways
Papers in
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- Cancer-related molecular mechanisms research 4
- Oncology 9
- Lung Cancer Research Studies 3
- Cancer-related Molecular Pathways 3
- Peptidase Inhibition and Analysis 2
- Cancer Cells and Metastasis 2
- Co-authors
- Zhixiong Yang (14 shared papers)Weiren Luo (7 shared papers)Weiyi Fang (6 shared papers)Kai‐Tai Yao (4 shared papers)Siyi Li (3 shared papers)Xiaoli Yu (3 shared papers)Zhen Liu (2 shared papers)Yuzhou Wang (3 shared papers)
- Journals
- Aging (3 papers)Journal of Translational Medicine (2 papers)Histopathology (2 papers)Journal of Cancer (1 paper)Computers and Electronics in Agriculture (1 paper)
- Partner nations
- China
In The Last Decade
Aibing Wu
29 papers receiving 823 citations
Peers
Comparison fields: 5 of 79
- Cancer Research 319
- Oncology 234
- Molecular Biology 393
- Genetics 45
- Otorhinolaryngology 14
Countries citing papers authored by Aibing Wu
This map shows the geographic impact of Aibing 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 Aibing Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aibing Wu more than expected).
Fields of papers citing papers by Aibing Wu
This network shows the impact of papers produced by Aibing 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 Aibing Wu. The network helps show where Aibing Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Aibing 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 151 | |
| 2 | 2011 | 88 | |
| 3 | 2012 | 69 | |
| 4 | 2015 | 63 | |
| 5 | 2014 | 55 | |
| 6 | 2022 | 45 | |
| 7 | 2012 | 42 | |
| 8 | 2014 | 41 | |
| 9 | 2016 | 38 | |
| 10 | 2012 | 33 | |
| 11 | Seroprevalence of Helicobacter pylori infection in patients with hepatitis B. | 1998 | 26 |
| 12 | 2019 | 24 | |
| 13 | 2014 | 20 | |
| 14 | 2015 | 19 | |
| 15 | 2018 | 17 | |
| 16 | 2022 | 15 | |
| 17 | 2012 | 14 | |
| 18 | 2016 | 14 | |
| 19 | 2019 | 14 | |
| 20 | 2023 | 12 |
About Aibing Wu
Aibing Wu is a scholar working on Cancer Research, Oncology, Molecular Biology, Pulmonary and Respiratory Medicine and Otorhinolaryngology, having authored 30 papers that have together received 831 indexed citations. Recurring topics across this work include Cancer-related gene regulation (5 papers), Cancer-related molecular mechanisms research (4 papers), Lung Cancer Research Studies (3 papers), RNA modifications and cancer (3 papers), Cancer-related Molecular Pathways (3 papers), Peptidase Inhibition and Analysis (2 papers), Cancer Cells and Metastasis (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). The work is most often cited by research in Cancer Research (319 citations), Oncology (234 citations), Molecular Biology (393 citations), Genetics (45 citations) and Otorhinolaryngology (14 citations). Aibing Wu has collaborated with scholars based in China. Frequent co-authors include Zhixiong Yang, Weiren Luo, Weiyi Fang, Kai‐Tai Yao, Siyi Li, Xiaoli Yu, Zhen Liu, Yuzhou Wang, Yan Zhen and Gong Zhang. Their work appears in journals such as Aging, Journal of Translational Medicine, Histopathology, Journal of Cancer and Computers and Electronics in Agriculture.
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.