Mingli Li

3.2k citations
118 papers · 2.4k · h-index 24

Impact in

Papers in

Mingli Li

107 papers receiving 2.4k citations

Peers

Mingli Li
Comparison fields: 5 of 126
  • Neurology 380
  • Pulmonary and Respiratory Medicine 725
  • Renewable Energy, Sustainability and the Environment 385
  • Rheumatology 195
  • Epidemiology 300
Replace Chengcheng Zhu with:
Chengcheng Zhu China
Jeong Eun Kim South Korea
Feng‐Chi Chang Taiwan
Xiaofeng Deng China
Guofang Shen China
Kazuya Nagata Japan
Sae Hoon Kim South Korea
M. Farooque United States
Ning Zhang China
Shaoyi Chen China
Mingli Li relative to Chengcheng Zhu China Chengcheng Zhu's profile →
Citations per field
00.5×9.2×
Chengcheng Zhu · 1×
Citations per year

Countries citing papers authored by Mingli Li

Since Specialization
Citations

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

Fields of papers citing papers by Mingli Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017225
2 2010195
3 2011146
4 2011122
5 2008112
6 201892
7 202075
8 201065
9 202160
10 201860
11 202056
12 202255
13 201950
14 200743
15 201841
16 201638
17 201738
18 201437
19 202233
20 201732

About Mingli Li

Mingli Li is a scholar working on Pulmonary and Respiratory Medicine, Neurology, Epidemiology, Electrical and Electronic Engineering and Neurology, having authored 118 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (23 papers), Acute Ischemic Stroke Management (9 papers), Intracerebral and Subarachnoid Hemorrhage Research (7 papers), Advanced Photocatalysis Techniques (5 papers), Moyamoya disease diagnosis and treatment (5 papers), Cerebrospinal fluid and hydrocephalus (5 papers), Cardiovascular Health and Disease Prevention (4 papers) and Pituitary Gland Disorders and Treatments (4 papers). The work is most often cited by research in Neurology (380 citations), Pulmonary and Respiratory Medicine (725 citations), Renewable Energy, Sustainability and the Environment (385 citations), Rheumatology (195 citations) and Epidemiology (300 citations). Mingli Li has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Zhengyu Jin, Jun Ni, Ming Yao, Shan Gao, Weihai Xu, Feng Feng, Xin Li, Bin Peng, Lixin Zhou and Jun Xie. Their work appears in journals such as Frontiers in Neurology, Stroke, Neurology, Journal of the Neurological Sciences and Cerebrovascular Diseases.

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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