Ran Li

2.3k citations
87 papers · 1.7k · h-index 25

Impact in

  • Neurology top 10%
    • Intracerebral and Subarachnoid Hemorrhage Research
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Intracranial Aneurysms: Treatment and Complications

Papers in

    • Cardiac Fibrosis and Remodeling 6
    • Antiplatelet Therapy and Cardiovascular Diseases 4
    • Intracerebral and Subarachnoid Hemorrhage Research 5
    • Parkinson's Disease Mechanisms and Treatments 4

Ran Li

82 papers receiving 1.7k citations

Peers

Ran Li
Comparison fields: 5 of 132
  • Neurology 228
  • Neurology 116
  • Geriatrics and Gerontology 42
  • Epidemiology 357
  • Developmental Neuroscience 43
Replace Chi Dae Kim with:
Chi Dae Kim South Korea
Yan Lü China
Xueyi Li China
Hualin Sun China
Xiang Fan China
JUN C. HUANG China
Guangxian Nan China
Dieter A. Kubli United States
Ran Li relative to Chi Dae Kim South Korea Chi Dae Kim's profile →
Citations per field
00.5×2×3.4×
Chi Dae Kim · 1×
Citations per year

Countries citing papers authored by Ran Li

Since Specialization
Citations

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

Fields of papers citing papers by Ran Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016184
2 201682
3 201977
4 202066
5 201366
6 201361
7 202452
8 201749
9 201548
10 201848
11 201744
12 201941
13 201639
14 201939
15 202137
16 202037
17 201836
18 201936
19 201835
20 201835

About Ran Li

Ran Li is a scholar working on Cardiology and Cardiovascular Medicine, Neurology, Epidemiology, Surgery and Neurology, having authored 87 papers that have together received 1.7k indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (8 papers), Autophagy in Disease and Therapy (7 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Cardiac Fibrosis and Remodeling (6 papers), Intracerebral and Subarachnoid Hemorrhage Research (5 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Signaling Pathways in Disease (4 papers) and Antiplatelet Therapy and Cardiovascular Diseases (4 papers). The work is most often cited by research in Neurology (228 citations), Neurology (116 citations), Geriatrics and Gerontology (42 citations), Epidemiology (357 citations) and Developmental Neuroscience (43 citations). Ran Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yanxia Tian, Junling Gao, Lu Gao, Yingguang Shan, Xiaohua Jiang, Yuan Liu, Ying Cui, Richard C. Wang, Ke Ma and Fang Wang. Their work appears in journals such as Frontiers in Immunology, Frontiers in Pharmacology, Frontiers in Cardiovascular Medicine, Cellular Physiology and Biochemistry and International Journal of Biological Sciences.

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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