Feng Liu
Impact in
- Physiology top 0.5%
- Adipose Tissue and Metabolism
-
- Regulation of Appetite and Obesity
Papers in
-
- Metabolism, Diabetes, and Cancer 16
- Protein Kinase Regulation and GTPase Signaling 13
- Epidemiology 50
- Adipokines, Inflammation, and Metabolic Diseases 43
- Co-authors
- Lily Dong (38 shared papers)Meilian Liu (25 shared papers)Juli Bai (15 shared papers)Paul R. Langlais (10 shared papers)Xuming Mao (7 shared papers)Fresnida J. Ramos (6 shared papers)Lijun Zhou (9 shared papers)Chintan K. Kikani (5 shared papers)
- Journals
- Diabetes (11 papers)Journal of Biological Chemistry (10 papers)Frontiers in Immunology (6 papers)Proceedings of the National Academy of Sciences (5 papers)PLoS ONE (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Feng Liu
150 papers receiving 6.5k citations
Feng Liu's Hit Papers
Peers
Comparison fields: 5 of 130
- Physiology 1.9k
- Endocrine and Autonomic Systems 481
- Epidemiology 2.1k
- Immunology 1.0k
- Biological Psychiatry 89
Countries citing papers authored by Feng Liu
This map shows the geographic impact of Feng 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 Feng Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Liu more than expected).
Fields of papers citing papers by Feng Liu
This network shows the impact of papers produced by Feng 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 Feng Liu. The network helps show where Feng Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng 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
Showing the 20 most-cited of 152 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | APPL1 binds to adiponectin receptors and mediates adiponectin signalling and function Hit paper breakdown → | 2006 | 562 |
| 2 | 2004 | 465 | |
| 3 | 2017 | 242 | |
| 4 | 2009 | 204 | |
| 5 | 2019 | 193 | |
| 6 | 2009 | 185 | |
| 7 | 2008 | 183 | |
| 8 | 2007 | 180 | |
| 9 | 2012 | 157 | |
| 10 | 2003 | 142 | |
| 11 | 2013 | 122 | |
| 12 | 2009 | 121 | |
| 13 | 2005 | 114 | |
| 14 | 2007 | 113 | |
| 15 | 2014 | 111 | |
| 16 | 2015 | 109 | |
| 17 | 2015 | 107 | |
| 18 | 2010 | 102 | |
| 19 | 2014 | 101 | |
| 20 | 2014 | 96 |
About Feng Liu
Feng Liu is a scholar working on Molecular Biology, Epidemiology, Physiology, Immunology and Surgery, having authored 152 papers that have together received 6.6k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (43 papers), Adipose Tissue and Metabolism (36 papers), Metabolism, Diabetes, and Cancer (16 papers), Pancreatic function and diabetes (14 papers), Protein Kinase Regulation and GTPase Signaling (13 papers), interferon and immune responses (11 papers), Gout, Hyperuricemia, Uric Acid (8 papers) and Regulation of Appetite and Obesity (7 papers). The work is most often cited by research in Physiology (1.9k citations), Endocrine and Autonomic Systems (481 citations), Epidemiology (2.1k citations), Immunology (1.0k citations) and Biological Psychiatry (89 citations). Feng Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Lily Dong, Meilian Liu, Juli Bai, Paul R. Langlais, Xuming Mao, Fresnida J. Ramos, Lijun Zhou, Chintan K. Kikani, Fang Hu and Lixin Wang. Their work appears in journals such as Diabetes, Journal of Biological Chemistry, Frontiers in Immunology, Proceedings of the National Academy of Sciences and PLoS ONE.
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.