Xiao‐Mei Li
Impact in
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- Antiplatelet Therapy and Cardiovascular Diseases
- Acute Myocardial Infarction Research
- Blood Pressure and Hypertension Studies
- Cardiovascular Health and Disease Prevention
- Internal Medicine top 5%
Papers in
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- Diabetes, Cardiovascular Risks, and Lipoproteins 23
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- Blood Pressure and Hypertension Studies 8
Xiao‐Mei Li
154 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 119
- Cardiology and Cardiovascular Medicine 629
- Internal Medicine 81
- Endocrinology, Diabetes and Metabolism 345
- Nephrology 128
- Cancer Research 199
Countries citing papers authored by Xiao‐Mei Li
This map shows the geographic impact of Xiao‐Mei 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 Xiao‐Mei Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao‐Mei Li more than expected).
Fields of papers citing papers by Xiao‐Mei Li
This network shows the impact of papers produced by Xiao‐Mei 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 Xiao‐Mei Li. The network helps show where Xiao‐Mei Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiao‐Mei 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 | 2025 | 4 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 24 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 12 | |
| 10 | 2021 | 8 | |
| 11 | 2021 | 3 | |
| 12 | 2019 | 11 | |
| 13 | 2019 | 5 | |
| 14 | 2019 | 22 | |
| 15 | 2019 | 14 | |
| 16 | 2018 | 12 | |
| 17 | 2015 | 17 | |
| 18 | 2014 | 11 | |
| 19 | [Association between intercellular adhesion molecule-1 K469E polymorphism and coronary heart disease in people with Uygur ethnicity, in Xinjiang]. | 2013 | 1 |
| 20 | [Prevalence and associated factors of diabetes mellitus in children of Han, Uigurs and Kazaks ethnicities in Xinjiang]. | 2012 | 4 |
About Xiao‐Mei Li
Xiao‐Mei Li is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Internal Medicine, Cancer Research and Surgery, having authored 165 papers that have together received 2.0k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (23 papers), Lipoproteins and Cardiovascular Health (14 papers), Atherosclerosis and Cardiovascular Diseases (11 papers), Liver Disease Diagnosis and Treatment (10 papers), Inflammatory Biomarkers in Disease Prognosis (9 papers), Blood Pressure and Hypertension Studies (8 papers), Cancer-related gene regulation (8 papers) and Genetic Associations and Epidemiology (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (629 citations), Internal Medicine (81 citations), Endocrinology, Diabetes and Metabolism (345 citations), Nephrology (128 citations) and Cancer Research (199 citations). Xiao‐Mei Li has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yi‐Ning Yang, Bang‐Dang Chen, Xiang Xie, Zhen-Yan Fu, Fen Liu, Xiang Ma, Yi‐Tong Ma, Yi-Tong Ma, Ying‐Ying Zheng and Ying Huang. Their work appears in journals such as Lipids in Health and Disease, PLoS ONE, Scientific Reports, BMC Cardiovascular Disorders and Oncotarget.
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.