Ya Gao
Impact in
- Pharmacology top 10%
- Drug-Induced Hepatotoxicity and Protection
- Pharmacological Effects of Natural Compounds
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- Liver physiology and pathology
Papers in
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- Genomics, phytochemicals, and oxidative stress 2
- Cell death mechanisms and regulation 2
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- Drug-Induced Hepatotoxicity and Protection 7
- Co-authors
- Kefeng Zhang (13 shared papers)Ling Jin (4 shared papers)Tao Liang (1 shared paper)Lingyuan Xu (1 shared paper)Rong Li (1 shared paper)Xu Chen (1 shared paper)Zimeng Li (3 shared papers)Xiaoqun Duan (1 shared paper)
- Journals
- Journal of Ethnopharmacology (4 papers)International Immunopharmacology (3 papers)International Journal of Biological Macromolecules (3 papers)Phytomedicine (3 papers)Biomedicine & Pharmacotherapy (2 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Ya Gao
27 papers receiving 301 citations
Peers
Comparison fields: 5 of 66
- Pharmacology 57
- Hepatology 27
- Pathology and Forensic Medicine 56
- Geriatrics and Gerontology 8
- Complementary and alternative medicine 19
Countries citing papers authored by Ya Gao
This map shows the geographic impact of Ya Gao'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 Ya Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya Gao more than expected).
Fields of papers citing papers by Ya Gao
This network shows the impact of papers produced by Ya Gao. 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 Ya Gao. The network helps show where Ya Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya Gao, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 42 | |
| 2 | 2015 | 36 | |
| 3 | 2020 | 31 | |
| 4 | 2020 | 24 | |
| 5 | 2020 | 24 | |
| 6 | 2023 | 18 | |
| 7 | 2022 | 17 | |
| 8 | 2020 | 16 | |
| 9 | 2017 | 13 | |
| 10 | 2022 | 10 | |
| 11 | 2024 | 9 | |
| 12 | 2024 | 8 | |
| 13 | 2024 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2025 | 6 | |
| 16 | 2022 | 6 | |
| 17 | 2024 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2024 | 5 | |
| 20 | 2024 | 4 |
About Ya Gao
Ya Gao is a scholar working on Molecular Biology, Pharmacology, Pathology and Forensic Medicine, Oncology and Epidemiology, having authored 28 papers that have together received 302 indexed citations. Recurring topics across this work include Drug-Induced Hepatotoxicity and Protection (7 papers), Liver Disease Diagnosis and Treatment (4 papers), Alcohol Consumption and Health Effects (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Liver physiology and pathology (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Pharmacology (57 citations), Hepatology (27 citations), Pathology and Forensic Medicine (56 citations), Geriatrics and Gerontology (8 citations) and Complementary and alternative medicine (19 citations). Ya Gao has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Kefeng Zhang, Ling Jin, Tao Liang, Lingyuan Xu, Rong Li, Xu Chen, Zimeng Li, Xiaoqun Duan, Jian-Zhao Wu and Jun Li. Their work appears in journals such as Journal of Ethnopharmacology, International Immunopharmacology, International Journal of Biological Macromolecules, Phytomedicine and Biomedicine & Pharmacotherapy.
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.