Guo Ge

882 total citations
54 papers, 486 citations indexed

About

Guo Ge is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Guo Ge has authored 54 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 7 papers in Neurology. Recurrent topics in Guo Ge's work include Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Nerve injury and regeneration (4 papers) and Axon Guidance and Neuronal Signaling (4 papers). Guo Ge is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Nerve injury and regeneration (4 papers) and Axon Guidance and Neuronal Signaling (4 papers). Guo Ge collaborates with scholars based in China, United States and Switzerland. Guo Ge's co-authors include Rui Chai, Kai Gao, Senlin Li, Robert A. Clark, Cang Chen, Albert Cheung-Hoi Yu, Wen Gao, Albert Cheung Hoi Yu, Jiangshan Zhan and Lina Li and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and The EMBO Journal.

In The Last Decade

Guo Ge

46 papers receiving 477 citations

Peers

Guo Ge
Comparison fields: 5 of 103
  • Molecular Biology 190
  • Cellular and Molecular Neuroscience 78
  • Neurology 59
  • Health, Toxicology and Mutagenesis 50
  • Physiology 49
Replace Jingxuan Fu with:
Jingxuan Fu China
Elena Pompili Italy
Dong Gil Lee South Korea
Ye Ji Jeong South Korea
Shiv S. Prasad Canada
Zhenle Zang China
Seung Myung Moon South Korea
Seong Jin Yu South Korea
Katarina Miš Slovenia
Andrew M. Tidball United States
Jingxuan Fu China View profile →
Citations per field, relative to Guo Ge
Guo Ge · 1×
Citations per year, relative to Guo Ge
Guo Ge · 1×

Countries citing papers authored by Guo Ge

Since Specialization
Citations

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

Fields of papers citing papers by Guo Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guo Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Guo Ge. A scholar is included among the top collaborators of Guo Ge based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guo Ge. Guo Ge is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 3
5 6
6 4
7 4
8 3
9 14
10 0
11 15
12 1
13 9
14 6
15 20
16
Indole-2-Carboxamide Derivative LG25 Inhibits Triple-Negative Breast Cancer Growth By Suppressing Akt/mTOR/NF-κB Signalling Pathway
1
17 1
18 13
19
Clinical significance of SLP-2 in hepatocellular carcinoma tissues and its regulation in cancer cell proliferation, migration, and EMT
1
20
Inhibited biofilm formation and improved antibacterial activity of a novel nanoemulsion against cariogenic Streptococcus mutans in vitro and in vivo
1

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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