Yi Gu

756 citations
28 papers · 577 · h-index 14

Impact in

  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disease Mechanisms and Treatments
  • Cell Biology top 10%
    • Aldose Reductase and Taurine

Papers in

Yi Gu

28 papers receiving 566 citations

Peers

Yi Gu
Comparison fields: 5 of 95
  • Neurology 105
  • Cell Biology 140
  • Physiology 105
  • Developmental Neuroscience 14
  • Genetics 35
Replace Jenna L Leclerc with:
Jenna L Leclerc United States
Mingju Cao Canada
S. Bergamaschi Italy
Hayato Matsunaga Japan
Gennaro Bruno Italy
Guido Primiano Italy
Huicong Liu China
Isabel Paiva Portugal
Sookja Kim Chung Hong Kong
Joo‐Ho Chung South Korea
Yi Gu relative to Jenna L Leclerc United States Jenna L Leclerc's profile →
Citations per field
00.5×3.2×
Jenna L Leclerc · 1×
Citations per year

Countries citing papers authored by Yi Gu

Since Specialization
Citations

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

Fields of papers citing papers by Yi Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201176
2 201070
3 200963
4 200637
5 201133
6 201032
7 201428
8 201327
9 200526
10 201724
11 200824
12 202120
13 201216
14 201815
15 202111
16 201810
17 201510
18 202010
19 20109
20 20168

About Yi Gu

Yi Gu is a scholar working on Molecular Biology, Cell Biology, Pathology and Forensic Medicine, Clinical Psychology and Physiology, having authored 28 papers that have together received 577 indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (5 papers), Eating Disorders and Behaviors (4 papers), Obsessive-Compulsive Spectrum Disorders (4 papers), Aldose Reductase and Taurine (4 papers), TGF-β signaling in diseases (3 papers), Autism Spectrum Disorder Research (3 papers), Calpain Protease Function and Regulation (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Neurology (105 citations), Cell Biology (140 citations), Physiology (105 citations), Developmental Neuroscience (14 citations) and Genetics (35 citations). Yi Gu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Yumei Zhao, Chao Xu, Ming Sun, Ming Sun, Yazhuo Zhang, Anming Meng, Ye‐Guang Chen, Jin Peng, Yonghua Cui and Ying Li. Their work appears in journals such as Translational research, Amino Acids, Neurochemical Research, Frontiers in Pediatrics and International Journal of Crashworthiness.

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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