Minghui Li

1.4k citations
52 papers · 924 · h-index 18

Impact in

Papers in

Minghui Li

50 papers receiving 912 citations

Peers

Minghui Li
Comparison fields: 5 of 86
  • Cardiology and Cardiovascular Medicine 289
  • Nephrology 54
  • Endocrinology, Diabetes and Metabolism 86
  • Geriatrics and Gerontology 13
  • Epidemiology 108
Replace Wen-Lieng Lee with:
Wen-Lieng Lee Taiwan
Ye Zhu China
Jérémy Lagrange France
Dongying Zhang China
Valeria Maddaloni Italy
Nikolaos Papoutsidakis Greece
Mikael Knutsson Sweden
Sergio Vancheri Sweden
Norihiko Kotooka Japan
Minghui Li relative to Wen-Lieng Lee Taiwan Wen-Lieng Lee's profile →
Citations per field
00.5×3.4×
Wen-Lieng Lee · 1×
Citations per year

Countries citing papers authored by Minghui Li

Since Specialization
Citations

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

Fields of papers citing papers by Minghui Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Minghui 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 Minghui Li Line = papers co-authored together Minghui Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020106
2 2022104
3 201452
4 201647
5 201244
6 201544
7 201641
8 202132
9 202131
10 201930
11 201730
12 202027
13 202122
14
Relationship Between the Triglyceride Glucose Index and the Risk of First Stroke in Elderly Hypertensive Patients
202221
15 201321
16 202219
17 201119
18 201718
19 202116
20 202016

About Minghui Li

Minghui Li is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery, Nephrology and Endocrinology, Diabetes and Metabolism, having authored 52 papers that have together received 924 indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (6 papers), Viral Infections and Immunology Research (6 papers), Peripheral Artery Disease Management (4 papers), Gout, Hyperuricemia, Uric Acid (3 papers), Blood Pressure and Hypertension Studies (3 papers), Folate and B Vitamins Research (3 papers), Dementia and Cognitive Impairment Research (3 papers) and Cardiac pacing and defibrillation studies (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (289 citations), Nephrology (54 citations), Endocrinology, Diabetes and Metabolism (86 citations), Geriatrics and Gerontology (13 citations) and Epidemiology (108 citations). Minghui Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Huihui Bao, Xiaoshu Cheng, Lingjuan Zhu, Wei Zhou, Tao Wang, Lihua Hu, Xiao Huang, Congcong Ding, Kevin Lu and Yumeng Shi. Their work appears in journals such as Lipids in Health and Disease, Journal of Clinical Hypertension, Nanomaterials, Scientific Reports and BMC Cardiovascular Disorders.

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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