Ying Luo
Impact in
- Biochemistry top 5%
- Eicosanoids and Hypertension Pharmacology
- Nephrology top 10%
- Gout, Hyperuricemia, Uric Acid
Papers in ⓘ
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- Eicosanoids and Hypertension Pharmacology 5
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- Gout, Hyperuricemia, Uric Acid 3
- Co-authors
- Zinan Li (1 shared paper)Jun‐Yan Liu (10 shared papers)Ai Peng (7 shared papers)Lei Wu (6 shared papers)Kefu Tang (4 shared papers)Bo Gong (3 shared papers)Chunyu Zhou (3 shared papers)Ling Wang (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Autoimmunity Reviews (1 paper)Journal of Allergy and Clinical Immunology (1 paper)Journal of Proteome Research (1 paper)Molecules (1 paper)
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Ying Luo
40 papers receiving 746 citations
Peers
Comparison fields: 5 of 104
- Biochemistry 85
- Nephrology 68
- Cancer Research 116
- Molecular Biology 374
- Biotechnology 38
Countries citing papers authored by Ying Luo
This map shows the geographic impact of Ying Luo'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 Ying Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Luo more than expected).
Fields of papers citing papers by Ying Luo
This network shows the impact of papers produced by Ying Luo. 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 Ying Luo. The network helps show where Ying Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Luo, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 133 | |
| 2 | 2022 | 104 | |
| 3 | 2017 | 47 | |
| 4 | 2017 | 47 | |
| 5 | 2019 | 39 | |
| 6 | 2018 | 37 | |
| 7 | 2021 | 30 | |
| 8 | 2022 | 29 | |
| 9 | 2018 | 26 | |
| 10 | 2017 | 24 | |
| 11 | 2018 | 24 | |
| 12 | 2021 | 22 | |
| 13 | 2025 | 19 | |
| 14 | 2020 | 19 | |
| 15 | 2020 | 13 | |
| 16 | 2018 | 13 | |
| 17 | 2017 | 13 | |
| 18 | 2022 | 13 | |
| 19 | 2020 | 13 | |
| 20 | 2017 | 11 |
About Ying Luo
Ying Luo is a scholar working on Biochemistry, Nephrology, Cancer Research, Pharmacology and Computer Science Applications, having authored 44 papers that have together received 751 indexed citations. Recurring topics across this work include Eicosanoids and Hypertension Pharmacology (5 papers), RNA modifications and cancer (4 papers), Alcohol Consumption and Health Effects (4 papers), Epigenetics and DNA Methylation (4 papers), Gout, Hyperuricemia, Uric Acid (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Cancer-related molecular mechanisms research (3 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Biochemistry (85 citations), Nephrology (68 citations), Cancer Research (116 citations), Molecular Biology (374 citations) and Biotechnology (38 citations). Ying Luo has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Zinan Li, Jun‐Yan Liu, Ai Peng, Lei Wu, Kefu Tang, Bo Gong, Chunyu Zhou, Ling Wang, Jian Huang and Yefei Zhu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Autoimmunity Reviews, Journal of Allergy and Clinical Immunology, Journal of Proteome Research and Molecules.
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.