Pu Ge
Impact in
- Pharmacology top 5%
- Drug-Induced Hepatotoxicity and Protection
- Pharmacological Effects of Natural Compounds
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- Liver physiology and pathology
Papers in
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- Metabolism, Diabetes, and Cancer 10
- Epidemiology 10
- Liver Disease Diagnosis and Treatment 4
- Co-authors
- Li Zhang (15 shared papers)Jie Dai (14 shared papers)Jingyuan Wan (7 shared papers)Rong Jiang (9 shared papers)Ling Lin (6 shared papers)Yibo Wu (22 shared papers)Kai Hu (4 shared papers)Hongzhong Li (2 shared papers)
In The Last Decade
Pu Ge
53 papers receiving 663 citations
Peers
Comparison fields: 5 of 124
- Pharmacology 83
- Hepatology 51
- Drug Discovery 1
- Physiology 26
- Biological Psychiatry 13
Countries citing papers authored by Pu Ge
This map shows the geographic impact of Pu Ge'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 Pu Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pu Ge more than expected).
Fields of papers citing papers by Pu Ge
This network shows the impact of papers produced by Pu Ge. 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 Pu Ge. The network helps show where Pu Ge may publish in the future.
Co-authors
The 25 scholars most cited alongside Pu Ge, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 57 | |
| 2 | 2018 | 48 | |
| 3 | 2017 | 44 | |
| 4 | Protective benefits of AMP-activated protein kinase in hepatic ischemia-reperfusion injury. | 2017 | 36 |
| 5 | 2018 | 35 | |
| 6 | 2017 | 32 | |
| 7 | 2017 | 29 | |
| 8 | 2011 | 28 | |
| 9 | 2023 | 26 | |
| 10 | Efficacy and safety of landiolol for prevention of atrial fibrillation after cardiac surgery: a meta-analysis of randomized controlled trials. | 2015 | 23 |
| 11 | 2018 | 21 | |
| 12 | 2017 | 19 | |
| 13 | 2022 | 17 | |
| 14 | 2015 | 17 | |
| 15 | 2023 | 15 | |
| 16 | 2015 | 14 | |
| 17 | 2017 | 14 | |
| 18 | 2022 | 13 | |
| 19 | 2015 | 13 | |
| 20 | 2021 | 12 |
About Pu Ge
Pu Ge is a scholar working on Molecular Biology, Epidemiology, Oncology, Clinical Psychology and Pharmacology, having authored 55 papers that have together received 671 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (10 papers), Drug-Induced Hepatotoxicity and Protection (6 papers), COVID-19 and Mental Health (5 papers), Calcium signaling and nucleotide metabolism (4 papers), Antibiotic Use and Resistance (4 papers), Pancreatic function and diabetes (4 papers), Liver Disease Diagnosis and Treatment (4 papers) and Health Literacy and Information Accessibility (3 papers). The work is most often cited by research in Pharmacology (83 citations), Hepatology (51 citations), Drug Discovery (1 citation), Physiology (26 citations) and Biological Psychiatry (13 citations). Pu Ge has collaborated with scholars based in China, Macao and Hong Kong. Frequent co-authors include Li Zhang, Jie Dai, Jingyuan Wan, Rong Jiang, Ling Lin, Yibo Wu, Kai Hu, Hongzhong Li, Longjiang Li and Qing Ai. Their work appears in journals such as Frontiers in Public Health, International Immunopharmacology, International Journal of Environmental Research and Public Health, BMC Public Health and Frontiers in Pharmacology.
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.