Liming Li

637 papers receiving 24.4k citations

Liming Li's Hit Papers

Translational genomics of osteoarthritis in 1,962,069 individuals 2025 · 36 citations
360+1+3Years since publication100200300400

Peers

Liming Li
Comparison fields: 5 of 193
  • Genetics 4.7k
  • Geriatrics and Gerontology 444
  • Endocrinology, Diabetes and Metabolism 2k
  • Cardiology and Cardiovascular Medicine 2.7k
  • Health, Toxicology and Mutagenesis 1.4k
Replace Canqing Yu with:
Canqing Yu China
Jun Lv China
Charles B. Eaton United States
Emanuele Di Angelantonio United Kingdom
Ling Yang China
Zhengming Chen United Kingdom
Ron T. Gansevoort Netherlands
Morgan Erika Grams United States
Akiko Tamakoshi Japan
Angela Döring Germany
Liming Li relative to Canqing Yu China Canqing Yu's profile →
Citations per field
00.5×1.5×2.0×
Canqing Yu · 1×
Citations per year

Countries citing papers authored by Liming Li

Since Specialization
Citations

This map shows the geographic impact of Liming 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 Liming Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liming Li more than expected).

Fields of papers citing papers by Liming Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liming 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 Liming Li. The network helps show where Liming Li may publish in the future.

Co-authors

The 25 scholars most cited alongside Liming Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Liming Li Line = papers co-authored together Liming Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 666 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Quality of primary health care in China: challenges and recommendations
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2020619
2
The power of genetic diversity in genome-wide association studies of lipids
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2021601
3
Sleep patterns, genetic susceptibility, and incident cardiovascular disease: a prospective study of 385 292 UK biobank participants
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2019523
4
A saturated map of common genetic variants associated with human height
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2022485
5
Prevalence, Awareness, Treatment, and Control of Hypertension in China
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2008467
6
Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation
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2022450
7
Association Between Diabetes and Cause-Specific Mortality in Rural and Urban Areas of China
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2017401
8
Conventional and genetic evidence on alcohol and vascular disease aetiology: a prospective study of 500 000 men and women in China
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2019387
9
Lipids, Lipoproteins, and Metabolites and Risk of Myocardial Infarction and Stroke
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2018385
10
Stroke genetics informs drug discovery and risk prediction across ancestries
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2022372
11
New genetic signals for lung function highlight pathways and chronic obstructive pulmonary disease associations across multiple ancestries
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2019352
12
Identification of type 2 diabetes loci in 433,540 East Asian individuals
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2020333
13
Frailty index and all-cause and cause-specific mortality in Chinese adults: a prospective cohort study
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2020329
14
The Burden of Hypertension and Associated Risk for Cardiovascular Mortality in China
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2016325
15
Lifestyle, cardiometabolic disease, and multimorbidity in a prospective Chinese study
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2021319
16
Genetic drivers of heterogeneity in type 2 diabetes pathophysiology
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2024296
17
Genetic insights into biological mechanisms governing human ovarian ageing
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2021284
18
Association of Depression With All-Cause and Cardiovascular Disease Mortality Among Adults in China
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2020283
19
Genetic diversity fuels gene discovery for tobacco and alcohol use
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2022276
20
Global Biobank Meta-analysis Initiative: Powering genetic discovery across human disease
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2022271

About Liming Li

Liming Li is a scholar working on Genetics, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Epidemiology and Public Health, Environmental and Occupational Health, having authored 666 papers that have together received 25k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (106 papers), Nutritional Studies and Diet (39 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (36 papers), Blood Pressure and Hypertension Studies (32 papers), Cardiovascular Health and Risk Factors (28 papers), Epigenetics and DNA Methylation (26 papers), Physical Activity and Health (21 papers) and Acute Ischemic Stroke Management (19 papers). The work is most often cited by research in Genetics (4.7k citations), Geriatrics and Gerontology (444 citations), Endocrinology, Diabetes and Metabolism (2k citations), Cardiology and Cardiovascular Medicine (2.7k citations) and Health, Toxicology and Mutagenesis (1.4k citations). Liming Li has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Canqing Yu, Zhengming Chen, Jun Lv, Zheng Bian, Yiping Chen, Ling Yang, Junshi Chen, Yu Guo, Huaidong Du and Robert Clarke. Their work appears in journals such as International Journal of Epidemiology, Twin Research and Human Genetics, International Journal of Cancer, Nutrients and The Lancet Regional Health - Western Pacific.

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.

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