Xiaoning Peng
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Circular RNAs in diseases 7
- Gene expression and cancer classification 7
- Machine Learning in Bioinformatics 5
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- Advanced Data Storage Technologies 6
- Caching and Content Delivery 5
- Co-authors
- Xiaomin Zeng (13 shared papers)Sihua Peng (8 shared papers)Xiyun Deng (5 shared papers)Yue Li (2 shared papers)Liangbiao Chen (2 shared papers)Chunqiao Mi (5 shared papers)Qianghua Xu (1 shared paper)Xuefeng B. Ling (1 shared paper)
- Journals
- Scientific Reports (3 papers)IEEE Access (3 papers)PLoS ONE (3 papers)International Journal of Computational Intelligence Systems (2 papers)Journal of Cancer (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xiaoning Peng
55 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 134
- Cancer Research 239
- Computational Mathematics 7
- Reproductive Medicine 91
- Molecular Biology 617
- Artificial Intelligence 246
Countries citing papers authored by Xiaoning Peng
This map shows the geographic impact of Xiaoning Peng'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 Xiaoning Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoning Peng more than expected).
Fields of papers citing papers by Xiaoning Peng
This network shows the impact of papers produced by Xiaoning Peng. 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 Xiaoning Peng. The network helps show where Xiaoning Peng may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoning Peng, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 288 | |
| 2 | 2003 | 154 | |
| 3 | 2016 | 116 | |
| 4 | 2018 | 85 | |
| 5 | 2020 | 72 | |
| 6 | 2009 | 47 | |
| 7 | 2021 | 28 | |
| 8 | 2016 | 24 | |
| 9 | 2016 | 24 | |
| 10 | 2020 | 23 | |
| 11 | 2018 | 23 | |
| 12 | 2014 | 22 | |
| 13 | 2019 | 21 | |
| 14 | 2023 | 19 | |
| 15 | 2009 | 18 | |
| 16 | 2022 | 18 | |
| 17 | 2017 | 16 | |
| 18 | 2019 | 15 | |
| 19 | 2023 | 13 | |
| 20 | 2015 | 12 |
About Xiaoning Peng
Xiaoning Peng is a scholar working on Molecular Biology, Computer Networks and Communications, Artificial Intelligence, Cancer Research and Computer Vision and Pattern Recognition, having authored 56 papers that have together received 1.2k indexed citations. Recurring topics across this work include Circular RNAs in diseases (7 papers), Cancer-related molecular mechanisms research (7 papers), Gene expression and cancer classification (7 papers), Advanced Data Storage Technologies (6 papers), Anomaly Detection Techniques and Applications (5 papers), MicroRNA in disease regulation (5 papers), Machine Learning in Bioinformatics (5 papers) and Caching and Content Delivery (5 papers). The work is most often cited by research in Cancer Research (239 citations), Computational Mathematics (7 citations), Reproductive Medicine (91 citations), Molecular Biology (617 citations) and Artificial Intelligence (246 citations). Xiaoning Peng has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xiaomin Zeng, Sihua Peng, Xiyun Deng, Yue Li, Liangbiao Chen, Chunqiao Mi, Qianghua Xu, Xuefeng B. Ling, Wei Du and Peng Jiang. Their work appears in journals such as Scientific Reports, IEEE Access, PLoS ONE, International Journal of Computational Intelligence Systems and Journal of Cancer.
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.