Xiaoping Zhao
Impact in
- Cancer Research top 1%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Biochemistry top 2%
- Lipid metabolism and biosynthesis
Papers in
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- RNA modifications and cancer 9
- Epigenetics and DNA Methylation 7
-
- Cancer, Hypoxia, and Metabolism 17
- Cancer, Lipids, and Metabolism 13
- MicroRNA in disease regulation 7
- Co-authors
- Gang Huang (13 shared papers)Li Zhao (11 shared papers)Jianjun Liu (9 shared papers)Yan Sun (7 shared papers)Fajun Yang (8 shared papers)Yuhong Zhou (4 shared papers)Jiajin Li (8 shared papers)Yu Hu (2 shared papers)
- Journals
- PLoS ONE (9 papers)Oncogene (6 papers)Oncotarget (4 papers)Scientific Reports (4 papers)International Journal of Molecular Sciences (3 papers)
- Partner nations
- ChinaUnited StatesIreland
In The Last Decade
Xiaoping Zhao
82 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 119
- Cancer Research 1.1k
- Biochemistry 215
- Molecular Biology 1.7k
- Oncology 434
- Geriatrics and Gerontology 42
Countries citing papers authored by Xiaoping Zhao
This map shows the geographic impact of Xiaoping Zhao'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 Xiaoping Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoping Zhao more than expected).
Fields of papers citing papers by Xiaoping Zhao
This network shows the impact of papers produced by Xiaoping Zhao. 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 Xiaoping Zhao. The network helps show where Xiaoping Zhao may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoping Zhao, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 176 | |
| 2 | 2012 | 171 | |
| 3 | 2016 | 152 | |
| 4 | 2012 | 151 | |
| 5 | 2015 | 124 | |
| 6 | 2013 | 118 | |
| 7 | 2016 | 103 | |
| 8 | 2013 | 79 | |
| 9 | 2013 | 76 | |
| 10 | 2017 | 69 | |
| 11 | 2015 | 68 | |
| 12 | 2014 | 59 | |
| 13 | 2016 | 59 | |
| 14 | 2019 | 59 | |
| 15 | 2012 | 54 | |
| 16 | 2015 | 52 | |
| 17 | 2018 | 52 | |
| 18 | 2020 | 50 | |
| 19 | 2016 | 47 | |
| 20 | 2010 | 46 |
About Xiaoping Zhao
Xiaoping Zhao is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Oncology and Surgery, having authored 86 papers that have together received 2.9k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (17 papers), Cancer, Lipids, and Metabolism (13 papers), Autophagy in Disease and Therapy (9 papers), RNA modifications and cancer (9 papers), Epigenetics and DNA Methylation (7 papers), MicroRNA in disease regulation (7 papers), Virus-based gene therapy research (5 papers) and Lipid metabolism and biosynthesis (5 papers). The work is most often cited by research in Cancer Research (1.1k citations), Biochemistry (215 citations), Molecular Biology (1.7k citations), Oncology (434 citations) and Geriatrics and Gerontology (42 citations). Xiaoping Zhao has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Gang Huang, Li Zhao, Jianjun Liu, Yan Sun, Fajun Yang, Yuhong Zhou, Jiajin Li, Yu Hu, Jianjun Liu and Mengqin Shen. Their work appears in journals such as PLoS ONE, Oncogene, Oncotarget, Scientific Reports and International Journal of Molecular Sciences.
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.