Shuo Leng

897 citations
11 papers · 722 · 1 hit paper · h-index 8

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Shuo Leng

11 papers receiving 717 citations

Shuo Leng's Hit Papers

The relationship between inflammation, impaired glymphatic system, and neurodegenerative disorders: A vicious cycle 2024 · 49 citations
490+1Years since publication10203040

Peers

Shuo Leng
Comparison fields: 5 of 65
  • Cancer Research 353
  • Neurology 95
  • Molecular Biology 498
  • Developmental Neuroscience 13
  • Biological Psychiatry 7
Replace Chengeng Liu with:
Chengeng Liu China
Anil K. Chokkalla United States
Jing‐Min Lu China
Yajing Chen China
Zhengli Di China
Jianhua Su China
Weijia Fan China
PhilipV Peplow New Zealand
Xi-Qing Chai China
Xiaoyang Lu China
Shuo Leng relative to Chengeng Liu China Chengeng Liu's profile →
Citations per field
00.5×1.5×1.9×
Chengeng Liu · 1×
Citations per year

Countries citing papers authored by Shuo Leng

Since Specialization
Citations

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

Fields of papers citing papers by Shuo Leng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2018319
2 2019175
3 201952
4
The relationship between inflammation, impaired glymphatic system, and neurodegenerative disorders: A vicious cycle
Hit paper breakdown →
202449
5 202044
6 202129
7 200124
8 202522
9 20253
10 20203
11 20252

About Shuo Leng

Shuo Leng is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Neurology and Cancer Research, having authored 11 papers that have together received 722 indexed citations. Recurring topics across this work include Circular RNAs in diseases (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Neuroscience and Neuropharmacology Research (2 papers), MicroRNA in disease regulation (2 papers), Pharmacological Receptor Mechanisms and Effects (2 papers), Cerebrospinal fluid and hydrocephalus (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Cancer Research (353 citations), Neurology (95 citations), Molecular Biology (498 citations), Developmental Neuroscience (13 citations) and Biological Psychiatry (7 citations). Shuo Leng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Honghong Yao, Bing Han, Fangfang Wu, Yuan Zhang, John H. Zhang, Xufeng Chen, Ying Bai, Yanhong Zhang, Gang Hu and Jie Chao. Their work appears in journals such as Translational Stroke Research, Carcinogenesis, Journal of Neuroinflammation, Journal of Neuroscience and EBioMedicine.

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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