Zhiguo Chen

5.3k citations
177 papers · 4.2k · h-index 36

Impact in

Papers in

Zhiguo Chen

172 papers receiving 4.1k citations

Peers

Zhiguo Chen
Comparison fields: 5 of 164
  • Developmental Neuroscience 391
  • Neurology 347
  • Biological Psychiatry 88
  • Aging 53
  • Cellular and Molecular Neuroscience 511
Replace Christoph Harms with:
Christoph Harms Germany
Edoardo Gaude United Kingdom
Shanshan Ma China
Woei‐Cherng Shyu Taiwan
Yamei Tang China
Renzhi Wang China
Li Fan China
Jiaxing Wang China
Bin Yu China
Michele d’Angelo Italy
Zhiguo Chen relative to Christoph Harms Germany Christoph Harms's profile →
Citations per field
00.5×2×2.9×
Christoph Harms · 1×
Citations per year

Countries citing papers authored by Zhiguo Chen

Since Specialization
Citations

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

Fields of papers citing papers by Zhiguo Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 177 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019225
2 2000219
3 2008210
4 2021171
5 2018154
6 2015141
7 2011125
8 2013113
9 202299
10 200872
11 201971
12 201570
13 200767
14 201258
15 201756
16 202052
17 201552
18 200452
19 202351
20 201150

About Zhiguo Chen

Zhiguo Chen is a scholar working on Developmental Neuroscience, Neurology, Molecular Biology, Cellular and Molecular Neuroscience and Oncology, having authored 177 papers that have together received 4.2k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (26 papers), Neurogenesis and neuroplasticity mechanisms (25 papers), Neuroinflammation and Neurodegeneration Mechanisms (19 papers), Nerve injury and regeneration (12 papers), Tissue Engineering and Regenerative Medicine (11 papers), CRISPR and Genetic Engineering (9 papers), Mesenchymal stem cell research (9 papers) and CAR-T cell therapy research (7 papers). The work is most often cited by research in Developmental Neuroscience (391 citations), Neurology (347 citations), Biological Psychiatry (88 citations), Aging (53 citations) and Cellular and Molecular Neuroscience (511 citations). Zhiguo Chen has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Theo D. Palmer, Jie Zhu, Bengt G. Winblad, Baoliang Liu, Xiupeng Wang, Nanqi Ren, Xueyao Wang, Rui‐Sheng Duan, Jingfang Ding and Wei Guo. Their work appears in journals such as Biomedicine & Pharmacotherapy, Oncotarget, Science China Life Sciences, Journal of Neurochemistry and Frontiers in Immunology.

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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