Xiaochun Gu

683 citations
23 papers · 513 · h-index 12

Impact in

Papers in

Xiaochun Gu

23 papers receiving 508 citations

Peers

Xiaochun Gu
Comparison fields: 5 of 79
  • Developmental Neuroscience 59
  • Neurology 87
  • Cellular and Molecular Neuroscience 117
  • Cognitive Neuroscience 87
  • Biological Psychiatry 11
Replace Joon-Hyuk Lee with:
Joon-Hyuk Lee South Korea
Jacqueline A. Gleave Canada
Johanna Jackson United Kingdom
Balázs Varga United Kingdom
Christina Kreutzer Austria
Litia Carvalho United States
Janaki Raman Rangarajan Belgium
Yuan Ji China
Brittney Lozzi United States
Patricia Maeso United States
Xiaochun Gu relative to Joon-Hyuk Lee South Korea Joon-Hyuk Lee's profile →
Citations per field
00.5×1.5×2.4×
Joon-Hyuk Lee · 1×
Citations per year

Countries citing papers authored by Xiaochun Gu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaochun Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201299
2 201889
3 202373
4 201854
5 201129
6 200826
7 201726
8 201421
9 201619
10 202017
11 200913
12 200811
13 20188
14 20238
15 20234
16 20184
17 20083
18 20242
19 20232
20 20202

About Xiaochun Gu

Xiaochun Gu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Developmental Neuroscience and Biomedical Engineering, having authored 23 papers that have together received 513 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Neurological Disease Mechanisms and Treatments (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Axon Guidance and Neuronal Signaling (3 papers), MicroRNA in disease regulation (2 papers), Alzheimer's disease research and treatments (2 papers) and Conducting polymers and applications (2 papers). The work is most often cited by research in Developmental Neuroscience (59 citations), Neurology (87 citations), Cellular and Molecular Neuroscience (117 citations), Cognitive Neuroscience (87 citations) and Biological Psychiatry (11 citations). Xiaochun Gu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Chunjie Zhao, Gao‐Jun Teng, Congwu Du, Nora D. Volkow, Yingtian Pan, Alan P. Koretsky, Kewei Chen, Jiaojie Hui, Jinpeng Chen and Jianqiong Zhang. Their work appears in journals such as genesis, Clinical Neurology and Neurosurgery, Chemistry - An Asian Journal, Scientific Reports and Translational Stroke Research.

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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