Aiping Dong
Impact in
- Geriatrics and Gerontology top 1%
- Sirtuins and Resveratrol in Medicine
- Molecular Biology top 2%
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- RNA modifications and cancer
- Ubiquitin and proteasome pathways
- Histone Deacetylase Inhibitors Research
- Protein Degradation and Inhibitors
Papers in
-
- Epigenetics and DNA Methylation 26
- Cancer-related gene regulation 22
- Ubiquitin and proteasome pathways 16
- RNA modifications and cancer 15
- Genomics and Chromatin Dynamics 9
- Biochemical and Molecular Research 7
- Oncology 17
- Peptidase Inhibition and Analysis 9
- Co-authors
- A.M. EdwardsJinrong MinC.H. ArrowsmithMasoud VedadiXiaohui XuHong WuHong ZengPeter J. Brown
- Journals
- Journal of Biological Chemistry (11 papers)Journal of Medicinal Chemistry (10 papers)Nature Communications (4 papers)Proceedings of the National Academy of Sciences (4 papers)PLoS ONE (4 papers)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Aiping Dong
82 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 128
- Geriatrics and Gerontology 366
- Molecular Biology 3.0k
- Physiology 150
- Oncology 496
- Cell Biology 212
Countries citing papers authored by Aiping Dong
This map shows the geographic impact of Aiping Dong'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 Aiping Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aiping Dong more than expected).
Fields of papers citing papers by Aiping Dong
This network shows the impact of papers produced by Aiping Dong. 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 Aiping Dong. The network helps show where Aiping Dong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Aiping Dong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 12 | |
| 6 | 2022 | 8 | |
| 7 | 2021 | 5 | |
| 8 | 2021 | 13 | |
| 9 | 2021 | 12 | |
| 10 | 2020 | 16 | |
| 11 | 2017 | 26 | |
| 12 | 2016 | 21 | |
| 13 | 2013 | 17 | |
| 14 | 2013 | 98 | |
| 15 | 2011 | 101 | |
| 16 | 2009 | 114 | |
| 17 | 2009 | 73 | |
| 18 | 2008 | 33 | |
| 19 | 2007 | 42 | |
| 20 | 2006 | 21 |
About Aiping Dong
Aiping Dong is a scholar working on Molecular Biology, Oncology, Geriatrics and Gerontology, Physiology and Virology, having authored 84 papers that have together received 3.9k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (26 papers), Cancer-related gene regulation (22 papers), Ubiquitin and proteasome pathways (16 papers), RNA modifications and cancer (15 papers), Peptidase Inhibition and Analysis (9 papers), Genomics and Chromatin Dynamics (9 papers), Biochemical and Molecular Research (7 papers) and Enzyme Structure and Function (7 papers). The work is most often cited by research in Geriatrics and Gerontology (366 citations), Molecular Biology (3.0k citations), Physiology (150 citations), Oncology (496 citations) and Cell Biology (212 citations). Aiping Dong has collaborated with scholars based in Canada, United States and China. Frequent co-authors include A.M. Edwards, Jinrong Min, C.H. Arrowsmith, Masoud Vedadi, Xiaohui Xu, Hong Wu, Hong Zeng, Peter J. Brown, Patricia W. Pan and A.N. Plotnikov. Their work appears in journals such as Journal of Biological Chemistry, Journal of Medicinal Chemistry, Nature Communications, Proceedings of the National Academy of Sciences and PLoS ONE.
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.