Ming Li
Impact in
-
- Birth, Development, and Health
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
Papers in
-
- Birth, Development, and Health 11
- Prenatal Screening and Diagnostics 3
- Nephrology 14
- Chronic Kidney Disease and Diabetes 9
- Renal Diseases and Glomerulopathies 4
- Co-authors
- Xinhua Xiao (32 shared papers)Qian Zhang (27 shared papers)Jia Zheng (24 shared papers)Huong Ung (3 shared papers)Irving Nachamkin (3 shared papers)Nader G. Abraham (5 shared papers)Dong Hyun Kim (4 shared papers)Stephen J. Peterson (4 shared papers)
- Journals
- Frontiers in Endocrinology (11 papers)Diabetes (5 papers)Scientific Reports (3 papers)International Journal of Obesity (3 papers)Frontiers in Physiology (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ming Li
187 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 109
- Pediatrics, Perinatology and Child Health 130
- Nephrology 114
- Epidemiology 304
- Molecular Biology 507
- Food Science 137
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-authors
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
Showing the 20 most-cited of 197 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 270 | |
| 2 | 2009 | 148 | |
| 3 | 2008 | 135 | |
| 4 | 2002 | 121 | |
| 5 | 2017 | 109 | |
| 6 | 2002 | 90 | |
| 7 | 2018 | 81 | |
| 8 | 2009 | 80 | |
| 9 | 1994 | 70 | |
| 10 | 2001 | 68 | |
| 11 | 2012 | 65 | |
| 12 | 2016 | 65 | |
| 13 | 2019 | 63 | |
| 14 | 2001 | 62 | |
| 15 | 2015 | 62 | |
| 16 | 2010 | 59 | |
| 17 | 2019 | 59 | |
| 18 | 2007 | 55 | |
| 19 | 2013 | 53 | |
| 20 | 2014 | 51 |
About Ming Li
Ming Li is a scholar working on Pediatrics, Perinatology and Child Health, Nephrology, Epidemiology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 197 papers that have together received 4.0k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (19 papers), Birth, Development, and Health (11 papers), Chronic Kidney Disease and Diabetes (9 papers), Cardiac Valve Diseases and Treatments (7 papers), Renal Diseases and Glomerulopathies (4 papers), Pancreatic function and diabetes (3 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers) and Prenatal Screening and Diagnostics (3 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (130 citations), Nephrology (114 citations), Epidemiology (304 citations), Molecular Biology (507 citations) and Food Science (137 citations). Ming Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xinhua Xiao, Qian Zhang, Jia Zheng, Huong Ung, Irving Nachamkin, Nader G. Abraham, Dong Hyun Kim, Stephen J. Peterson, Susumu Ikehara and Fan Ping. Their work appears in journals such as Frontiers in Endocrinology, Diabetes, Scientific Reports, International Journal of Obesity and Frontiers in Physiology.
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.