Li-Ze Gu

764 citations
11 papers · 625 · h-index 8

Impact in

  • Neurology top 2%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disease Mechanisms and Treatments
    • Tryptophan and brain disorders

Papers in

    • Sphingolipid Metabolism and Signaling 1
    • Neuroinflammation and Neurodegeneration Mechanisms 4
    • Neurological Disease Mechanisms and Treatments 2

Li-Ze Gu

11 papers receiving 622 citations

Peers

Li-Ze Gu
Comparison fields: 5 of 71
  • Neurology 347
  • Biological Psychiatry 40
  • Immunology 183
  • Developmental Neuroscience 34
  • Physiology 28
Replace Vikas Kaushal with:
Vikas Kaushal Canada
Qiao-Quan Zhang China
Fading Chen United States
Seo-Hyun Cho United States
Alexander A. Loboda United States
Juan E. Tichauer Chile
Rea Pihlaja Finland
Rengong Zhuo China
Kana Hyakkoku Japan
Sofie Kessels Belgium
Li-Ze Gu relative to Vikas Kaushal Canada Vikas Kaushal's profile →
Citations per field
00.5×1.5×2.0×
Vikas Kaushal · 1×
Citations per year

Countries citing papers authored by Li-Ze Gu

Since Specialization
Citations

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

Fields of papers citing papers by Li-Ze Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2014235
2 2012132
3 201388
4 201372
5 201347
6 201318
7 20139
8 20147
9 20146
10 20136
11 20155

About Li-Ze Gu

Li-Ze Gu is a scholar working on Molecular Biology, Neurology, Genetics, Immunology and Surgery, having authored 11 papers that have together received 625 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), MicroRNA in disease regulation (2 papers), Inflammation biomarkers and pathways (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Neurological Disease Mechanisms and Treatments (2 papers), Pancreatic function and diabetes (1 paper), Genetic Associations and Epidemiology (1 paper) and Sphingolipid Metabolism and Signaling (1 paper). The work is most often cited by research in Neurology (347 citations), Biological Psychiatry (40 citations), Immunology (183 citations), Developmental Neuroscience (34 citations) and Physiology (28 citations). Li-Ze Gu has collaborated with scholars based in China and United States. Frequent co-authors include Teng Jiang, Yingdong Zhang, Lan Tan, Jun Guo, Xi-Chen Zhu, Meng‐Shan Tan, Jin‐Tai Yu, Qiao-Quan Zhang, Lei Cao and Hui-Fu Wang. Their work appears in journals such as Neurobiology of Aging, Journal of Neural Transmission, Journal of Neuroinflammation, Neuropsychopharmacology and Molecular and Cellular Endocrinology.

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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