Ran Liu

7.5k citations
190 papers · 5.8k indexed · h-index 46

Impact in

Papers in

Ran Liu

179 papers receiving 5.7k citations

Peers

Ran Liu
Comparison fields: 5 of 159
  • Neurology 915
  • Developmental Neuroscience 258
  • Biological Psychiatry 139
  • Endocrinology, Diabetes and Metabolism 783
  • Cellular and Molecular Neuroscience 780
Replace Abolhassan Ahmadiani with:
Abolhassan Ahmadiani Iran
Karen Gertz Germany
Yi Yang China
Bertrand Joseph Sweden
Zhijun Zhang China
Siriporn C. Chattipakorn Thailand
Paco S. Herson United States
Shinn‐Zong Lin Taiwan
Ho‐Won Lee South Korea
Masahiro Nishibori Japan
Ran Liu relative to Abolhassan Ahmadiani Iran Abolhassan Ahmadiani's profile →
Citations per field
00.5×1.5×1.9×
Abolhassan Ahmadiani · 1×
Citations per year

Countries citing papers authored by Ran Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ran Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
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13 202358
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15
Establishment of a scoring model based on ultrasonic characteristics for predicting the restenosis after superficial femoral artery stenting
20211
16 20217
17 20202
18 20205
19
MicroRNA-218 affects the biological behavior of esophageal cancer cells by targeting LASP1.
20191
20
Hypolipemic Effect of Acidic Polysaccharides from Auricularia auricula on Hyperlipidemia Mice
20161

About Ran Liu

Ran Liu is a scholar working on Neurology, Developmental Neuroscience, Internal Medicine, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 190 papers that have together received 5.8k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (17 papers), Neurological Disease Mechanisms and Treatments (16 papers), Estrogen and related hormone effects (15 papers), Acute Ischemic Stroke Management (15 papers), Menopause: Health Impacts and Treatments (12 papers), Neuroscience and Neuropharmacology Research (11 papers), Cerebrovascular and Carotid Artery Diseases (11 papers) and Alzheimer's disease research and treatments (10 papers). The work is most often cited by research in Neurology (915 citations), Developmental Neuroscience (258 citations), Biological Psychiatry (139 citations), Endocrinology, Diabetes and Metabolism (783 citations) and Cellular and Molecular Neuroscience (780 citations). Ran Liu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include James W. Simpkins, Shao‐Hua Yang, Wen Yi, Shao-Hua Yang, Evelyn Perez, Peter Koulen, Evelyn J. Perez, Wenjun Li, László Prókai and Ali Winters. Their work appears in journals such as Brain Research, Translational Stroke Research, Journal of Biological Chemistry, Molecular Neurobiology and PLoS ONE.

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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