Jie-Guang Chen

1.3k citations
23 papers · 851 indexed · h-index 10
Topics
Neuroscience and Neuropharmacology Research (6 papers)Genetics and Neurodevelopmental Disorders (6 papers)Neurogenesis and neuroplasticity mechanisms (6 papers)

In The Last Decade

Jie-Guang Chen

22 papers receiving 840 citations

Peers

Jie-Guang Chen
Comparison fields: 5 of 79
  • Molecular Biology 587
  • Cellular and Molecular Neuroscience 510
  • Developmental Neuroscience 98
  • Biochemistry 93
  • Genetics 62
Replace Tadeusz Pacholczyk with:
Tadeusz Pacholczyk United States
Janis L. Corey United States
Hanne Hastrup Denmark
Shintaro Besshoh Japan
Claus Zabel Germany
Jinhee Yang South Korea
Siegfried Wurster Finland
Colin L. Willis United States
Philip F. Morgan United States
Kathrin Töllner Germany
Jie-Guang Chen relative to Tadeusz Pacholczyk United States Tadeusz Pacholczyk's profile →
Citations per field
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Tadeusz Pacholczyk · 1×
Citations per year

Countries citing papers authored by Jie-Guang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jie-Guang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jie-Guang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jie-Guang Chen. A scholar is included among the top collaborators of Jie-Guang Chen 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 Jie-Guang Chen. Jie-Guang Chen 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
#WorkIndexed citations
1 0
2 1
3 3
4 2
5 3
6 4
7 6
8 22
9 9
10 2
11 43
12 9
13 14
14 4
15 79
16 37
17 140
18 182
19 137
20 5

About Jie-Guang Chen

Jie-Guang Chen is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Biochemistry, having authored 23 papers that have together received 851 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Genetics and Neurodevelopmental Disorders (6 papers) and Neurogenesis and neuroplasticity mechanisms (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (510 citations), Developmental Neuroscience (98 citations) and Biochemistry (93 citations). Jie-Guang Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Gary Rudnick, Aristidis Sachpatzidis, Xue Li, Masaharu Hayashi, Nenad Šestan, Željka Krsnik, Yuka Imamura Kawasawa, Mladen‐Roko Rašin, Kenneth Y. Kwan and Miloš Judáš. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

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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