Hui Peng
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Computational Drug Discovery Methods
Papers in
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- RNA modifications and cancer 9
- Cancer-related gene regulation 5
- Retinoids in leukemia and cellular processes 3
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- Cancer-related molecular mechanisms research 7
- Co-authors
- Jinyan Li (16 shared papers)Tony W.H. Li (9 shared papers)José M. Mato (9 shared papers)Shelly C. Lu (9 shared papers)Heping Yang (8 shared papers)Zhixun Zhao (7 shared papers)Tingjun Hou (1 shared paper)Youyong Li (1 shared paper)
- Journals
- BMC Bioinformatics (5 papers)Hepatology (4 papers)Bioinformatics (3 papers)Journal of Biological Chemistry (2 papers)The FASEB Journal (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Hui Peng
56 papers receiving 1.4k citations
Hui Peng's Hit Papers
Peers
Comparison fields: 5 of 137
- Cancer Research 273
- Computational Theory and Mathematics 203
- Molecular Biology 795
- Toxicology 34
- Rheumatology 101
Countries citing papers authored by Hui Peng
This map shows the geographic impact of Hui 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 Hui Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Peng more than expected).
Fields of papers citing papers by Hui Peng
This network shows the impact of papers produced by Hui 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 Hui Peng. The network helps show where Hui Peng may publish in the future.
Co-authors
The 25 scholars most cited alongside Hui 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 155 | |
| 2 | 2012 | 122 | |
| 3 | 2016 | 72 | |
| 4 | 2013 | 69 | |
| 5 | 2011 | 65 | |
| 6 | 2018 | 48 | |
| 7 | 2019 | 46 | |
| 8 | 2018 | 43 | |
| 9 | 2016 | 40 | |
| 10 | 2011 | 37 | |
| 11 | 2015 | 37 | |
| 12 | 2020 | 36 | |
| 13 | 2013 | 36 | |
| 14 | 2018 | 35 | |
| 15 | 2023 | 33 | |
| 16 | 2023 | 32 | |
| 17 | 2019 | 31 | |
| 18 | 2018 | 31 | |
| 19 | 2007 | 29 | |
| 20 | 2019 | 28 |
About Hui Peng
Hui Peng is a scholar working on Molecular Biology, Cancer Research, Oncology, Computational Theory and Mathematics and Neurology, having authored 57 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA modifications and cancer (9 papers), Computational Drug Discovery Methods (7 papers), Cancer-related molecular mechanisms research (7 papers), Cancer-related gene regulation (5 papers), Neurological disorders and treatments (4 papers), Cancer-related Molecular Pathways (4 papers), Pharmacogenetics and Drug Metabolism (4 papers) and Retinoids in leukemia and cellular processes (3 papers). The work is most often cited by research in Cancer Research (273 citations), Computational Theory and Mathematics (203 citations), Molecular Biology (795 citations), Toxicology (34 citations) and Rheumatology (101 citations). Hui Peng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jinyan Li, Tony W.H. Li, José M. Mato, Shelly C. Lu, Heping Yang, Zhixun Zhao, Tingjun Hou, Youyong Li, Lei Chen and Yi Zheng. Their work appears in journals such as BMC Bioinformatics, Hepatology, Bioinformatics, Journal of Biological Chemistry and The FASEB Journal.
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.