Chune Liu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Endocrine and Autonomic Systems top 10%
- Regulation of Appetite and Obesity
Papers in
-
- Adipokines, Inflammation, and Metabolic Diseases 3
-
- Cancer-related molecular mechanisms research 3
- Cancer, Lipids, and Metabolism 2
- Co-authors
- Li Wang (2 shared papers)Zhihong Yang (2 shared papers)Olivier Barbier (2 shared papers)Melanie Tran (1 shared paper)Jianguo Wu (1 shared paper)Li Zhang (1 shared paper)Dong‐Ju Shin (1 shared paper)Gang Chen (3 shared papers)
- Journals
- Hepatology (2 papers)Metabolism (1 paper)Saudi Journal of Biological Sciences (1 paper)American Journal Of Pathology (1 paper)Food Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Chune Liu
16 papers receiving 627 citations
Peers
Comparison fields: 5 of 74
- Cancer Research 255
- Endocrine and Autonomic Systems 50
- Hepatology 45
- Epidemiology 147
- Reproductive Medicine 37
Countries citing papers authored by Chune Liu
This map shows the geographic impact of Chune Liu'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 Chune Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chune Liu more than expected).
Fields of papers citing papers by Chune Liu
This network shows the impact of papers produced by Chune Liu. 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 Chune Liu. The network helps show where Chune Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chune Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 148 | |
| 2 | 2017 | 128 | |
| 3 | 2016 | 92 | |
| 4 | 2012 | 69 | |
| 5 | 2010 | 35 | |
| 6 | 2016 | 35 | |
| 7 | 2010 | 34 | |
| 8 | 2021 | 16 | |
| 9 | 2022 | 16 | |
| 10 | 2017 | 15 | |
| 11 | 2018 | 11 | |
| 12 | 2020 | 10 | |
| 13 | 2018 | 9 | |
| 14 | 2024 | 6 | |
| 15 | 2023 | 3 | |
| 16 | The biological characteristics and utilization of Urechis unicinctus. | 2019 | 1 |
About Chune Liu
Chune Liu is a scholar working on Epidemiology, Cancer Research, Molecular Biology, Surgery and Pathology and Forensic Medicine, having authored 16 papers that have together received 628 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (3 papers), Cancer-related molecular mechanisms research (3 papers), Cancer, Lipids, and Metabolism (2 papers), Protein Hydrolysis and Bioactive Peptides (2 papers), Regulation of Appetite and Obesity (2 papers), Pancreatic function and diabetes (2 papers), Obesity, Physical Activity, Diet (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Cancer Research (255 citations), Endocrine and Autonomic Systems (50 citations), Hepatology (45 citations), Epidemiology (147 citations) and Reproductive Medicine (37 citations). Chune Liu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Li Wang, Zhihong Yang, Olivier Barbier, Melanie Tran, Jianguo Wu, Li Zhang, Dong‐Ju Shin, Gang Chen, Yuxia Zhang and Junping Wen. Their work appears in journals such as Hepatology, Metabolism, Saudi Journal of Biological Sciences, American Journal Of Pathology and Food Chemistry.
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.