Ming Li
Impact in
-
- Regulation of Appetite and Obesity
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
-
- Regulation of Appetite and Obesity 18
- Co-authors
- Xinhua XiaoNader G. AbrahamJia ZhengQian ZhangStephen J. PetersonDong Hyun KimIrving NachamkinHuong Ung
- Journals
- Frontiers in Endocrinology (11 papers)Diabetes (5 papers)Scientific Reports (3 papers)International Journal of Obesity (3 papers)Journal of Thoracic and Cardiovascular Surgery (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ming Li
195 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 148
- Endocrine and Autonomic Systems 220
- Endocrinology, Diabetes and Metabolism 491
- Physiology 706
- Molecular Biology 1.4k
- Pediatrics, Perinatology and Child Health 385
Countries citing papers authored by Ming Li
This map shows the geographic impact of Ming 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 Ming Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Li more than expected).
Fields of papers citing papers by Ming Li
This network shows the impact of papers produced by Ming 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 Ming Li. The network helps show where Ming Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ming 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 10 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 8 | |
| 8 | 2021 | 12 | |
| 9 | 2020 | 16 | |
| 10 | 2019 | 19 | |
| 11 | 2019 | 34 | |
| 12 | 2019 | 9 | |
| 13 | 2018 | 41 | |
| 14 | 2018 | 8 | |
| 15 | 2017 | 98 | |
| 16 | 2016 | 10 | |
| 17 | 2016 | 7 | |
| 18 | [Relationship between metabolic syndrome and adipokines on diabetes among high-risk populations]. | 2012 | 5 |
| 19 | [Metabolic syndrome in overweight and obese schoolchildren in Beijing]. | 2007 | 21 |
| 20 | [Leptin and clustering of the components of risk factors for metabolic syndrome]. | 2004 | 2 |
About Ming Li
Ming Li is a scholar working on Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism, General Psychology, Cardiology and Cardiovascular Medicine and Nephrology, having authored 204 papers that have together received 3.8k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (29 papers), Adipose Tissue and Metabolism (22 papers), Birth, Development, and Health (19 papers), Regulation of Appetite and Obesity (18 papers), Genetic Associations and Epidemiology (12 papers), Metabolism, Diabetes, and Cancer (11 papers), Gestational Diabetes Research and Management (11 papers) and Cardiac Valve Diseases and Treatments (9 papers). The work is most often cited by research in Endocrine and Autonomic Systems (220 citations), Endocrinology, Diabetes and Metabolism (491 citations), Physiology (706 citations), Molecular Biology (1.4k citations) and Pediatrics, Perinatology and Child Health (385 citations). Ming Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xinhua Xiao, Nader G. Abraham, Jia Zheng, Qian Zhang, Stephen J. Peterson, Dong Hyun Kim, Irving Nachamkin, Huong Ung, Susumu Ikehara and Fan Ping. Their work appears in journals such as Frontiers in Endocrinology, Diabetes, Scientific Reports, International Journal of Obesity and Journal of Thoracic and Cardiovascular Surgery.
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.