Chen Gu

1.5k citations
37 papers · 1.2k · h-index 23

Impact in

Papers in

Chen Gu

35 papers receiving 1.2k citations

Peers

Chen Gu
Comparison fields: 5 of 99
  • Developmental Neuroscience 164
  • Cellular and Molecular Neuroscience 453
  • Sensory Systems 119
  • Neurology 139
  • Cell Biology 232
Replace Stephan L. Baader with:
Stephan L. Baader Germany
Jeanne Lainé France
Claudio Acuna Germany
Mario Buffelli Italy
René Jüttner Germany
Jean‐Luc Boulland Norway
Youri Adolfs Netherlands
Kathrin Kusch Germany
Catharina E.E.M. Van der Zee Netherlands
Nicolas Heck France
Chen Gu relative to Stephan L. Baader Germany Stephan L. Baader's profile →
Citations per field
00.5×1.5×2.3×
Stephan L. Baader · 1×
Citations per year

Countries citing papers authored by Chen Gu

Since Specialization
Citations

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

Fields of papers citing papers by Chen Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006115
2 200281
3 201476
4 201866
5 201665
6 200160
7 201451
8 201048
9 201143
10 201741
11 201140
12 201338
13 201238
14 201237
15 201136
16 201034
17 201933
18 201730
19 201229
20 202128

About Chen Gu

Chen Gu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Developmental Neuroscience and Neurology, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ion channel regulation and function (14 papers), Neuroscience and Neuropharmacology Research (14 papers), Neurogenesis and neuroplasticity mechanisms (11 papers), Microtubule and mitosis dynamics (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Cellular transport and secretion (6 papers), Nerve injury and regeneration (4 papers) and Cellular Mechanics and Interactions (4 papers). The work is most often cited by research in Developmental Neuroscience (164 citations), Cellular and Molecular Neuroscience (453 citations), Sensory Systems (119 citations), Neurology (139 citations) and Cell Biology (232 citations). Chen Gu has collaborated with scholars based in United States, China and India. Frequent co-authors include Yuanzheng Gu, Joshua Barry, Peter Jukkola, Dermot M.F. Cooper, James Mahmud Rice, Alexander Sorkin, Yuh Nung Jan, Wei Zhou, Lily Yeh Jan and Manojkumar A. Puthenveedu. Their work appears in journals such as Acta Neuropathologica Communications, Journal of Biological Chemistry, Frontiers in Molecular Neuroscience, PLoS ONE and Neuroscience & Biobehavioral Reviews.

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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