Pu Ge
Impact in
- Pharmacology top 10%
- Drug-Induced Hepatotoxicity and Protection
Papers in
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- Metabolism, Diabetes, and Cancer 10
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- Liver Disease Diagnosis and Treatment 4
- Autophagy in Disease and Therapy 3
- 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)Longjiang Li (2 shared papers)
In The Last Decade
Pu Ge
53 papers receiving 701 citations
Peers
Comparison fields: 5 of 114
- Pharmacology 72
- Drug Discovery 1
- Hepatology 41
- Biological Psychiatry 12
- Physiology 24
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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 57 | |
| 2 | 2018 | 50 | |
| 3 | 2017 | 45 | |
| 4 | Protective benefits of AMP-activated protein kinase in hepatic ischemia-reperfusion injury. | 2017 | 37 |
| 5 | 2018 | 37 | |
| 6 | 2023 | 36 | |
| 7 | 2017 | 33 | |
| 8 | 2017 | 29 | |
| 9 | 2011 | 28 | |
| 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 | 18 | |
| 14 | 2023 | 17 | |
| 15 | 2015 | 17 | |
| 16 | 2015 | 16 | |
| 17 | 2017 | 14 | |
| 18 | 2022 | 13 | |
| 19 | 2015 | 13 | |
| 20 | 2021 | 13 |
About Pu Ge
Pu Ge is a scholar working on Molecular Biology, Epidemiology, Oncology, Pharmacology and Clinical Psychology, having authored 56 papers that have together received 711 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (10 papers), Drug-Induced Hepatotoxicity and Protection (6 papers), Calcium signaling and nucleotide metabolism (4 papers), COVID-19 and Mental Health (4 papers), Pancreatic function and diabetes (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Autophagy in Disease and Therapy (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Pharmacology (72 citations), Drug Discovery (1 citation), Hepatology (41 citations), Biological Psychiatry (12 citations) and Physiology (24 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, Longjiang Li, Qing Ai and Hongzhong Li. Their work appears in journals such as International Immunopharmacology, Frontiers in Public Health, International Journal of Environmental Research and Public Health, Frontiers in Pharmacology and BMC Public Health.
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.