Xiaoning Peng
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Advanced Data Storage Technologies 6
- Caching and Content Delivery 5
-
- Cancer-related molecular mechanisms research 7
- MicroRNA in disease regulation 5
- Co-authors
- Xiaomin Zeng (13 shared papers)Sihua Peng (7 shared papers)Xiyun Deng (6 shared papers)Liangbiao Chen (2 shared papers)Yue Li (2 shared papers)Xuefeng B. Ling (1 shared paper)Wei Du (1 shared paper)Qianghua Xu (1 shared paper)
- Journals
- Scientific Reports (3 papers)Journal of Cancer (3 papers)PLoS ONE (3 papers)IEEE Access (3 papers)Modern Applied Science (1 paper)
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Xiaoning Peng
56 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 125
- Cancer Research 211
- Computational Mathematics 8
- Reproductive Medicine 82
- Molecular Biology 591
- Physiology 29
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 | 299 | |
| 2 | 2003 | 176 | |
| 3 | 2016 | 118 | |
| 4 | 2018 | 90 | |
| 5 | 2009 | 51 | |
| 6 | 2021 | 30 | |
| 7 | 2018 | 26 | |
| 8 | 2016 | 24 | |
| 9 | 2023 | 24 | |
| 10 | 2016 | 24 | |
| 11 | 2020 | 24 | |
| 12 | 2014 | 23 | |
| 13 | 2022 | 21 | |
| 14 | 2019 | 21 | |
| 15 | 2009 | 20 | |
| 16 | 2017 | 18 | |
| 17 | 2019 | 17 | |
| 18 | 2023 | 14 | |
| 19 | 2015 | 12 | |
| 20 | 2014 | 12 |
About Xiaoning Peng
Xiaoning Peng is a scholar working on Computer Networks and Communications, Cancer Research, Molecular Biology, Artificial Intelligence and Signal Processing, having authored 56 papers that have together received 1.2k indexed citations. Recurring topics across this work include Gene expression and cancer classification (7 papers), Circular RNAs in diseases (7 papers), Cancer-related molecular mechanisms research (7 papers), Advanced Data Storage Technologies (6 papers), Anomaly Detection Techniques and Applications (5 papers), Caching and Content Delivery (5 papers), MicroRNA in disease regulation (5 papers) and Machine Learning in Bioinformatics (4 papers). The work is most often cited by research in Cancer Research (211 citations), Computational Mathematics (8 citations), Reproductive Medicine (82 citations), Molecular Biology (591 citations) and Physiology (29 citations). Xiaoning Peng has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Xiaomin Zeng, Sihua Peng, Xiyun Deng, Liangbiao Chen, Yue Li, Xuefeng B. Ling, Wei Du, Qianghua Xu, Chunqiao Mi and Peng Jiang. Their work appears in journals such as Scientific Reports, Journal of Cancer, PLoS ONE, IEEE Access and Modern Applied Science.
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.