Ge Li
Impact in
- Physiology top 10%
- Alzheimer's disease research and treatments
- Adipose Tissue and Metabolism
- Diet and metabolism studies
-
- Regulation of Appetite and Obesity
Papers in ⓘ
-
- Regulation of Appetite and Obesity 4
- Epidemiology 13
- Adipokines, Inflammation, and Metabolic Diseases 4
- Liver Disease Diagnosis and Treatment 3
- Hepatitis B Virus Studies 2
- Co-authors
- Ming Li (11 shared papers)Shan Gao (10 shared papers)Junling Fu (7 shared papers)Steven M. Willi (8 shared papers)Lujiao Li (4 shared papers)Yanglu Zhao (4 shared papers)Simona Vuletic (2 shared papers)John J. Albers (2 shared papers)
- Journals
- Diabetes (2 papers)Journal of Alzheimer s Disease (2 papers)International Journal of Obesity (2 papers)PLoS ONE (2 papers)Cardiovascular Diabetology (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Ge Li
34 papers receiving 768 citations
Peers
Comparison fields: 5 of 111
- Physiology 228
- Endocrine and Autonomic Systems 44
- Epidemiology 175
- Endocrinology, Diabetes and Metabolism 79
- Biological Psychiatry 11
Countries citing papers authored by Ge Li
This map shows the geographic impact of Ge Li'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 Ge Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ge Li more than expected).
Fields of papers citing papers by Ge Li
This network shows the impact of papers produced by Ge Li. 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 Ge Li. The network helps show where Ge Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Ge Li, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 83 | |
| 2 | 2008 | 71 | |
| 3 | 2018 | 63 | |
| 4 | 2019 | 52 | |
| 5 | 2018 | 44 | |
| 6 | 2018 | 41 | |
| 7 | 2012 | 41 | |
| 8 | 2017 | 40 | |
| 9 | 2011 | 39 | |
| 10 | 2017 | 38 | |
| 11 | 2019 | 34 | |
| 12 | 2016 | 29 | |
| 13 | 2007 | 27 | |
| 14 | 2018 | 23 | |
| 15 | 2019 | 22 | |
| 16 | 2003 | 17 | |
| 17 | 2005 | 16 | |
| 18 | 2021 | 12 | |
| 19 | 2020 | 12 | |
| 20 | 2019 | 10 |
About Ge Li
Ge Li is a scholar working on Endocrine and Autonomic Systems, Epidemiology, Endocrinology, Diabetes and Metabolism, Physiology and Obstetrics and Gynecology, having authored 34 papers that have together received 775 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (4 papers), Adipose Tissue and Metabolism (4 papers), Regulation of Appetite and Obesity (4 papers), Diet and metabolism studies (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Diabetes Management and Research (2 papers), Alzheimer's disease research and treatments (2 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Physiology (228 citations), Endocrine and Autonomic Systems (44 citations), Epidemiology (175 citations), Endocrinology, Diabetes and Metabolism (79 citations) and Biological Psychiatry (11 citations). Ge Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Ming Li, Shan Gao, Junling Fu, Steven M. Willi, Lujiao Li, Yanglu Zhao, Simona Vuletic, John J. Albers, Xinhua Xiao and Elaine R. Peskind. Their work appears in journals such as Diabetes, Journal of Alzheimer s Disease, International Journal of Obesity, PLoS ONE and Cardiovascular Diabetology.
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.