Gao Chen

6.5k total citations
222 papers, 4.5k citations indexed

About

Gao Chen is a scholar working on Neurology, Molecular Biology and Epidemiology. According to data from OpenAlex, Gao Chen has authored 222 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Neurology, 66 papers in Molecular Biology and 51 papers in Epidemiology. Recurrent topics in Gao Chen's work include Intracerebral and Subarachnoid Hemorrhage Research (43 papers), Intracranial Aneurysms: Treatment and Complications (29 papers) and Neuroinflammation and Neurodegeneration Mechanisms (28 papers). Gao Chen is often cited by papers focused on Intracerebral and Subarachnoid Hemorrhage Research (43 papers), Intracranial Aneurysms: Treatment and Complications (29 papers) and Neuroinflammation and Neurodegeneration Mechanisms (28 papers). Gao Chen collaborates with scholars based in China, United States and Canada. Gao Chen's co-authors include Feng Yan, Jianru Li, Lin Wang, Chi Gu, Jingyin Chen, Yucong Peng, Shenglong Cao, Hanhai Zeng, Hangzhe Xu and Xiaobo Yu and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Gao Chen

204 papers receiving 4.5k citations

Peers

Gao Chen
Comparison fields: 5 of 154
  • Molecular Biology 1.7k
  • Neurology 1.3k
  • Neurology 833
  • Epidemiology 779
  • Immunology 504
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Xi Lan China
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Anuska V. Andjelkovic United States
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Xi Lan China View profile →
Citations per field, relative to Gao Chen
Gao Chen · 1×
Citations per year, relative to Gao Chen
Gao Chen · 1×

Countries citing papers authored by Gao Chen

Since Specialization
Citations

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

Fields of papers citing papers by Gao Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gao Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Gao Chen. A scholar is included among the top collaborators of Gao 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 Gao Chen. Gao 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
# Work Indexed citations
1 1
2 0
3 0
4 1
5 12
6 7
7 8
8 11
9 48
10 7
11 86
12
Guided bone regeneration with asymmetric collagen-chitosan membranes containing aspirin-loaded chitosan nanoparticles
3
13 52
14
Nanotechnology for treating osteoporotic vertebral fractures
4
15 42
16 30
17
[Beijing common green tree leaves' accumulation capacity for heavy metals].
9
18
Multifunctional magnetic Fe3O4 nanoparticles combined with chemotherapy and hyperthermia to overcome multidrug resistance
13
19 4
20 50

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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