Lin Tuo
Impact in
- Hepatology top 10%
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- Cancer, Hypoxia, and Metabolism
Papers in
-
- Liver Disease Diagnosis and Treatment 3
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- Metabolism, Diabetes, and Cancer 2
- Glycosylation and Glycoproteins Research 1
- Ubiquitin and proteasome pathways 1
- Co-authors
- Kai Wang (5 shared papers)Ni Tang (5 shared papers)Xuanming Pan (4 shared papers)Ailong Huang (3 shared papers)Xiang Jin (4 shared papers)Jie Lai Xia (4 shared papers)Li Liang (4 shared papers)Chang Chen (3 shared papers)
- Journals
- Signal Transduction and Targeted Therapy (1 paper)Zhongguo shiyou kantan (1 paper)Journal of Clinical Investigation (1 paper)Genes & Diseases (1 paper)FEBS Journal (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Lin Tuo
24 papers receiving 557 citations
Lin Tuo's Hit Papers
Peers
Comparison fields: 5 of 87
- Hepatology 56
- Cancer Research 90
- Epidemiology 142
- Virology 19
- Molecular Biology 184
Countries citing papers authored by Lin Tuo
This map shows the geographic impact of Lin Tuo'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 Lin Tuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Tuo more than expected).
Fields of papers citing papers by Lin Tuo
This network shows the impact of papers produced by Lin Tuo. 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 Lin Tuo. The network helps show where Lin Tuo may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin Tuo, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deficiency of gluconeogenic enzyme PCK1 promotes metabolic-associated fatty liver disease through PI3K/AKT/PDGF axis activation in male mice Hit paper breakdown → | 2023 | 122 |
| 2 | 2021 | 97 | |
| 3 | 2022 | 87 | |
| 4 | 2019 | 66 | |
| 5 | 2018 | 42 | |
| 6 | 2023 | 36 | |
| 7 | 2022 | 23 | |
| 8 | 2023 | 16 | |
| 9 | 2021 | 15 | |
| 10 | 2018 | 13 | |
| 11 | Shale Gas and Its Significance for Exploration | 2008 | 12 |
| 12 | 2019 | 8 | |
| 13 | 2024 | 8 | |
| 14 | 2017 | 4 | |
| 15 | 2017 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2017 | 1 | |
| 20 | 2009 | 1 |
About Lin Tuo
Lin Tuo is a scholar working on Epidemiology, Molecular Biology, Virology, Sensory Systems and Gastroenterology, having authored 25 papers that have together received 563 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (3 papers), Hydrocarbon exploration and reservoir analysis (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Complex Systems and Time Series Analysis (1 paper), Glycosylation and Glycoproteins Research (1 paper), Blockchain Technology Applications and Security (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Hepatology (56 citations), Cancer Research (90 citations), Epidemiology (142 citations), Virology (19 citations) and Molecular Biology (184 citations). Lin Tuo has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Kai Wang, Ni Tang, Xuanming Pan, Ailong Huang, Xiang Jin, Jie Lai Xia, Li Liang, Chang Chen, Haijun Deng and Guiji Zhang. Their work appears in journals such as Signal Transduction and Targeted Therapy, Zhongguo shiyou kantan, Journal of Clinical Investigation, Genes & Diseases and FEBS Journal.
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.