Aibing Wu
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 10%
- Cancer Cells and Metastasis
- Cancer-related Molecular Pathways
Papers in
-
- Cancer-related gene regulation 7
- RNA modifications and cancer 5
- Kruppel-like factors research 3
- Oncology 13
- Cancer Cells and Metastasis 4
- Lung Cancer Research Studies 4
- Cancer-related Molecular Pathways 4
- Co-authors
- Zhixiong Yang (14 shared papers)Weiren Luo (7 shared papers)Weiyi Fang (6 shared papers)Siyi Li (3 shared papers)Kai‐Tai Yao (4 shared papers)Zhen Liu (2 shared papers)Xiaoli Yu (3 shared papers)Yuzhou Wang (3 shared papers)
- Journals
- Histopathology (2 papers)Journal of Translational Medicine (2 papers)Journal of Cellular Biochemistry (1 paper)Medicine (1 paper)Computers and Electronics in Agriculture (1 paper)
- Partner nations
- China
In The Last Decade
Aibing Wu
27 papers receiving 765 citations
Peers
Comparison fields: 5 of 77
- Cancer Research 367
- Oncology 277
- Molecular Biology 442
- Genetics 46
- Otorhinolaryngology 17
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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 149 | |
| 2 | 2011 | 81 | |
| 3 | 2012 | 67 | |
| 4 | 2015 | 62 | |
| 5 | 2014 | 53 | |
| 6 | 2012 | 39 | |
| 7 | 2014 | 39 | |
| 8 | 2016 | 36 | |
| 9 | 2012 | 33 | |
| 10 | 2022 | 31 | |
| 11 | Seroprevalence of Helicobacter pylori infection in patients with hepatitis B. | 1998 | 24 |
| 12 | 2019 | 23 | |
| 13 | 2014 | 20 | |
| 14 | 2015 | 19 | |
| 15 | 2018 | 16 | |
| 16 | 2019 | 14 | |
| 17 | 2016 | 13 | |
| 18 | 2022 | 12 | |
| 19 | 2012 | 12 | |
| 20 | 2015 | 7 |
About Aibing Wu
Aibing Wu is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Surgery, having authored 27 papers that have together received 774 indexed citations. Recurring topics across this work include Cancer-related gene regulation (7 papers), Cancer-related molecular mechanisms research (5 papers), RNA modifications and cancer (5 papers), MicroRNA in disease regulation (4 papers), Cancer Cells and Metastasis (4 papers), Lung Cancer Research Studies (4 papers), Cancer-related Molecular Pathways (4 papers) and Kruppel-like factors research (3 papers). The work is most often cited by research in Cancer Research (367 citations), Oncology (277 citations), Molecular Biology (442 citations), Genetics (46 citations) and Otorhinolaryngology (17 citations). Aibing Wu has collaborated with scholars based in China. Frequent co-authors include Zhixiong Yang, Weiren Luo, Weiyi Fang, Siyi Li, Kai‐Tai Yao, Zhen Liu, Xiaoli Yu, Yuzhou Wang, Yan Zhen and Qianbing Zhang. Their work appears in journals such as Histopathology, Journal of Translational Medicine, Journal of Cellular Biochemistry, Medicine 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.