Xiaochun Gu

698 citations
23 papers · 538 · h-index 12

Impact in

Papers in

Xiaochun Gu

23 papers receiving 534 citations

Peers

Xiaochun Gu
Comparison fields: 5 of 76
  • Developmental Neuroscience 60
  • Neurology 76
  • Cellular and Molecular Neuroscience 105
  • Cognitive Neuroscience 70
  • Biological Psychiatry 8
Replace Christina Kreutzer with:
Christina Kreutzer Austria
Joon-Hyuk Lee South Korea
Janaki Raman Rangarajan Belgium
Jacqueline A. Gleave Canada
Balázs Varga United Kingdom
Brittney Lozzi United States
Johanna Jackson United Kingdom
Matilde Balbi Germany
Sara Soleman United Kingdom
Litia Carvalho United States
Xiaochun Gu relative to Christina Kreutzer Austria Christina Kreutzer's profile →
Citations per field
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Christina Kreutzer · 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 2012102
2 201894
3 202380
4 201855
5 201129
6 201728
7 200826
8 201421
9 202019
10 201619
11 200913
12 200811
13 20239
14 20189
15 20236
16 20184
17 20243
18 20083
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 538 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Axon Guidance and Neuronal Signaling (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Neurological Disease Mechanisms and Treatments (3 papers), Alzheimer's disease research and treatments (2 papers), Genetics and Neurodevelopmental Disorders (2 papers) and FOXO transcription factor regulation (2 papers). The work is most often cited by research in Developmental Neuroscience (60 citations), Neurology (76 citations), Cellular and Molecular Neuroscience (105 citations), Cognitive Neuroscience (70 citations) and Biological Psychiatry (8 citations). Xiaochun Gu has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Chunjie Zhao, Gao‐Jun Teng, Congwu Du, Yingtian Pan, Alan P. Koretsky, Nora D. Volkow, Junhua Liu, Kewei Chen, Binbin Nie and Mingxi Li. Their work appears in journals such as Clinical Neurology and Neurosurgery, genesis, Nature Communications, Advanced Science and Cell Reports.

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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