Xiao-Dan Peng
Impact in
- Cancer Research top 5%
- Cancer, Lipids, and Metabolism
- Cancer-related molecular mechanisms research
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- Ferroptosis and cancer prognosis
Papers in
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- Epigenetics and DNA Methylation 2
- Circular RNAs in diseases 2
- RNA modifications and cancer 2
- Glycosylation and Glycoproteins Research 1
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- MicroRNA in disease regulation 2
- Co-authors
- Zhi‐Ling Li (7 shared papers)Yuhong Chen (7 shared papers)Xiao‐Feng Zhu (7 shared papers)Rong Deng (7 shared papers)Gong‐Kan Feng (7 shared papers)Yun Huang (7 shared papers)Hai‐Liang Zhang (4 shared papers)Bingxin Hu (4 shared papers)
- Journals
- Biochemical Genetics (2 papers)Nature Communications (2 papers)Signal Transduction and Targeted Therapy (1 paper)Molecular Cancer (1 paper)Nature Cell Biology (1 paper)
- Partner nations
- China
In The Last Decade
Xiao-Dan Peng
10 papers receiving 1.1k citations
Xiao-Dan Peng's Hit Papers
Peers
Comparison fields: 5 of 80
- Cancer Research 317
- Pulmonary and Respiratory Medicine 360
- Molecular Biology 640
- Immunology 156
- Oncology 161
Countries citing papers authored by Xiao-Dan Peng
This map shows the geographic impact of Xiao-Dan 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 Xiao-Dan Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao-Dan Peng more than expected).
Fields of papers citing papers by Xiao-Dan Peng
This network shows the impact of papers produced by Xiao-Dan 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 Xiao-Dan Peng. The network helps show where Xiao-Dan Peng may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiao-Dan 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
| # | Work | ||
|---|---|---|---|
| 1 | PKCβII phosphorylates ACSL4 to amplify lipid peroxidation to induce ferroptosis Hit paper breakdown → | 2022 | 437 |
| 2 | 2020 | 161 | |
| 3 | 2020 | 140 | |
| 4 | 2021 | 133 | |
| 5 | 2021 | 99 | |
| 6 | 2020 | 50 | |
| 7 | 2017 | 45 | |
| 8 | 2021 | 9 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 1 |
About Xiao-Dan Peng
Xiao-Dan Peng is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Immunology and Pulmonary and Respiratory Medicine, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (2 papers), Circular RNAs in diseases (2 papers), MicroRNA in disease regulation (2 papers), Autophagy in Disease and Therapy (2 papers), RNA modifications and cancer (2 papers), Glycosylation and Glycoproteins Research (1 paper), Ferroptosis and cancer prognosis (1 paper) and Toxoplasma gondii Research Studies (1 paper). The work is most often cited by research in Cancer Research (317 citations), Pulmonary and Respiratory Medicine (360 citations), Molecular Biology (640 citations), Immunology (156 citations) and Oncology (161 citations). Xiao-Dan Peng has collaborated with scholars based in China. Frequent co-authors include Zhi‐Ling Li, Yuhong Chen, Xiao‐Feng Zhu, Rong Deng, Gong‐Kan Feng, Yun Huang, Hai‐Liang Zhang, Bingxin Hu, Zhipeng Ye and Tian Du. Their work appears in journals such as Biochemical Genetics, Nature Communications, Signal Transduction and Targeted Therapy, Molecular Cancer and Nature Cell Biology.
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.