Jia Zhao
- Cancer Research top 5%
- Cancer-related molecular mechanisms research 10
- MicroRNA in disease regulation 8
- Cancer, Hypoxia, and Metabolism 4
- Toxicology top 5%
- Molecular Biology top 10%
- Glycosylation and Glycoproteins Research 8
- Circular RNAs in diseases 8
- Biochemical and Molecular Research 3
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications 4
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- Monoclonal and Polyclonal Antibodies Research 5
- Co-authors
- David M. LubmanDiane M. SimeoneTasneem H. PatwaKai WuSteve GoodisonCharles J. RosserVirginia UrquidiJianye Chen
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Analytical Chemistry (1 paper)Biochemistry (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Jia Zhao
45 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 85
- Cancer Research 322
- Toxicology 51
- Molecular Biology 904
- Spectroscopy 176
- Oncology 189
Countries citing papers authored by Jia Zhao
This map shows the geographic impact of Jia 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 Jia Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jia Zhao more than expected).
Fields of papers citing papers by Jia Zhao
This network shows the impact of papers produced by Jia 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 Jia Zhao. The network helps show where Jia Zhao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jia 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 19 | |
| 2 | 2022 | 8 | |
| 3 | 2021 | 26 | |
| 4 | 2021 | 0 | |
| 5 | 2020 | 21 | |
| 6 | 2020 | 13 | |
| 7 | 2019 | 31 | |
| 8 | 2019 | 18 | |
| 9 | 2019 | 7 | |
| 10 | 2018 | 56 | |
| 11 | 2017 | 25 | |
| 12 | 2016 | 28 | |
| 13 | 2016 | 56 | |
| 14 | 2014 | 32 | |
| 15 | 2010 | 6 | |
| 16 | 2009 | 3 | |
| 17 | A COMPARATIVE STUDY ON STRUCTURAL ALTERNATIONS OF N GLYCANS ON SURFACE OF SMMC 7721 AND HL 60 CELL LINES INDUCED BY DIFFERENTIATING AGENTS | 2000 | 1 |
| 18 | 1995 | 23 | |
| 19 | 1994 | 5 | |
| 20 | 1992 | 16 |
About Jia Zhao
Jia Zhao is a scholar working on Cancer Research, Toxicology and Molecular Biology, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (10 papers), Glycosylation and Glycoproteins Research (8 papers), MicroRNA in disease regulation (8 papers), Circular RNAs in diseases (8 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Advanced Proteomics Techniques and Applications (4 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Biochemical and Molecular Research (3 papers). The work is most often cited by research in Cancer Research (322 citations), Toxicology (51 citations) and Molecular Biology (904 citations). Jia Zhao has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include David M. Lubman, Diane M. Simeone, Tasneem H. Patwa, Kai Wu, Steve Goodison, Charles J. Rosser, Virginia Urquidi, Jianye Chen, Yang Yang and Dengyan Zhu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Analytical Chemistry and Biochemistry.
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.