Yan Li
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Health top 2%
Papers in
- Epidemiology 66
- Liver Disease Diagnosis and Treatment 17
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- Food Security and Health in Diverse Populations 11
- Co-authors
- Donglan Zhang (41 shared papers)José A. Pagán (34 shared papers)Bian Liu (23 shared papers)Rajender Gupta (3 shared papers)Terry Wall (3 shared papers)C. Anderson Johnson (9 shared papers)Michelle F. Wright (1 shared paper)Lu Shi (22 shared papers)
- Journals
- Preventive Medicine (14 papers)PLoS ONE (10 papers)BMC Public Health (8 papers)Frontiers in Public Health (7 papers)Scientific Reports (7 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yan Li
469 papers receiving 8.1k citations
Peers
Comparison fields: 5 of 212
- Modeling and Simulation 195
- Health 252
- Epidemiology 939
- Public Health, Environmental and Occupational Health 728
- Endocrinology, Diabetes and Metabolism 362
Countries citing papers authored by Yan Li
This map shows the geographic impact of Yan 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 Yan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Li more than expected).
Fields of papers citing papers by Yan Li
This network shows the impact of papers produced by Yan 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 Yan Li. The network helps show where Yan Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan 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 504 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 147 | |
| 2 | 2019 | 128 | |
| 3 | 2021 | 116 | |
| 4 | 2011 | 115 | |
| 5 | 2005 | 106 | |
| 6 | 2010 | 102 | |
| 7 | 2017 | 98 | |
| 8 | Smoothed percentage body fat percentiles for U.S. children and adolescents, 1999-2004. | 2011 | 97 |
| 9 | 2011 | 96 | |
| 10 | 2011 | 92 | |
| 11 | 2017 | 90 | |
| 12 | 2023 | 89 | |
| 13 | 2007 | 88 | |
| 14 | 2021 | 84 | |
| 15 | 2012 | 84 | |
| 16 | 2002 | 80 | |
| 17 | 2002 | 78 | |
| 18 | 2020 | 77 | |
| 19 | 2017 | 77 | |
| 20 | 2000 | 74 |
About Yan Li
Yan Li is a scholar working on Epidemiology, General Health Professions, Sociology and Political Science, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism, having authored 504 papers that have together received 8.3k indexed citations. Recurring topics across this work include Health disparities and outcomes (19 papers), Liver Disease Diagnosis and Treatment (17 papers), Obesity, Physical Activity, Diet (13 papers), Smoking Behavior and Cessation (12 papers), Food Security and Health in Diverse Populations (11 papers), Nutritional Studies and Diet (11 papers), Blood Pressure and Hypertension Studies (9 papers) and Energetic Materials and Combustion (9 papers). The work is most often cited by research in Modeling and Simulation (195 citations), Health (252 citations), Epidemiology (939 citations), Public Health, Environmental and Occupational Health (728 citations) and Endocrinology, Diabetes and Metabolism (362 citations). Yan Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Donglan Zhang, José A. Pagán, Bian Liu, Rajender Gupta, Terry Wall, C. Anderson Johnson, Michelle F. Wright, Lu Shi, Junxiu Liu and Dejun Su. Their work appears in journals such as Preventive Medicine, PLoS ONE, BMC Public Health, Frontiers in Public Health and Scientific Reports.
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.