Yakun Gu

544 citations
17 papers · 326 indexed · h-index 11
Topics
Neurogenesis and neuroplasticity mechanisms (7 papers)Neuroinflammation and Neurodegeneration Mechanisms (5 papers)Pluripotent Stem Cells Research (3 papers)
Partner nations
ChinaVietnamSouth Korea

In The Last Decade

Yakun Gu

17 papers receiving 323 citations

Peers

Yakun Gu
Comparison fields: 5 of 65
  • Molecular Biology 130
  • Developmental Neuroscience 89
  • Neurology 84
  • Cellular and Molecular Neuroscience 82
  • Pathology and Forensic Medicine 50
Replace Giovanni Pietrogrande with:
Giovanni Pietrogrande Australia
Ashley McDonough United States
Mou Gao China
Jordan Lang United States
Óscar G. Vidaurre Spain
Toniella Giallongo Italy
Yongbo Zhang China
Jennifer K. Ness United States
Domenick Zammit Canada
Kazuyo Ikeda Japan
Yakun Gu relative to Giovanni Pietrogrande Australia Giovanni Pietrogrande's profile →
Citations per field
00.5×1.5×2.1×
Giovanni Pietrogrande · 1×
Citations per year

Countries citing papers authored by Yakun Gu

Since Specialization
Citations

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

Fields of papers citing papers by Yakun Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yakun Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Yakun Gu. A scholar is included among the top collaborators of Yakun Gu 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 Yakun Gu. Yakun Gu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 1
2 1
3 13
4 25
5 16
6 19
7 10
8 4
9 53
10 21
11 40
12 57
13 21
14 7
15 29
16
[Glial cells function as neural stem cells and progenitor cells].
3
17
[Astrocytes as therapeutic targets after spinal cord injury].
6

About Yakun Gu

Yakun Gu is a scholar working on Developmental Neuroscience, Neurology and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 326 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Pluripotent Stem Cells Research (3 papers). The work is most often cited by research in Developmental Neuroscience (89 citations), Neurology (84 citations) and Cellular and Molecular Neuroscience (82 citations). Yakun Gu has collaborated with scholars based in China, Vietnam and South Korea. Frequent co-authors include Mengyuan Guo, Zhida Su, Xunming Ji, Xiao Huang, Jia Liu, Shangyao Qin, Dan Wang, Zijian Tan, Yimin Yuan and Xin Hu. Their work appears in journals such as International Journal of Molecular Sciences, Gene and Journal of Cerebral Blood Flow & Metabolism.

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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