Guo‐Yuan Yang

12.1k total citations · 2 hit papers
208 papers, 9.6k citations indexed

About

Guo‐Yuan Yang is a scholar working on Neurology, Molecular Biology and Neurology. According to data from OpenAlex, Guo‐Yuan Yang has authored 208 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Neurology, 69 papers in Molecular Biology and 36 papers in Neurology. Recurrent topics in Guo‐Yuan Yang's work include Neuroinflammation and Neurodegeneration Mechanisms (67 papers), Neurogenesis and neuroplasticity mechanisms (28 papers) and Extracellular vesicles in disease (25 papers). Guo‐Yuan Yang is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (67 papers), Neurogenesis and neuroplasticity mechanisms (28 papers) and Extracellular vesicles in disease (25 papers). Guo‐Yuan Yang collaborates with scholars based in China, United States and Japan. Guo‐Yuan Yang's co-authors include Yaohui Tang, Yongting Wang, Jixian Wang, Zhijun Zhang, Yuanyuan Ma, Yongting Wang, A. Lorris Betz, Pak H. Chan, Zhijun Zhang and Philip R. Weinstein and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Advanced Functional Materials.

In The Last Decade

Guo‐Yuan Yang

206 papers receiving 9.5k citations

Hit Papers

The biphasic function of microglia in ischemic stroke 2016 2026 2019 2022 2016 2019 100 200 300 400 500

Peers

Guo‐Yuan Yang
Comparison fields: 5 of 153
  • Molecular Biology 3.8k
  • Neurology 3.4k
  • Neurology 1.5k
  • Cancer Research 1.4k
  • Epidemiology 1.2k
Replace Stella E. Tsirka with:
Stella E. Tsirka United States
Bogdan A. Stoica United States
Denis Vivien France
Katerina Akassoglou United States
Yanqin Gao China
Gang Chen China
Liqun He Sweden
Carsten Culmsee Germany
Xiaoming Hu United States
Nikolaus Plesnila Germany
Stella E. Tsirka United States View profile →
Citations per field, relative to Guo‐Yuan Yang
Guo‐Yuan Yang · 1×
Citations per year, relative to Guo‐Yuan Yang
Guo‐Yuan Yang · 1×

Countries citing papers authored by Guo‐Yuan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Guo‐Yuan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guo‐Yuan Yang. 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 Guo‐Yuan Yang. The network helps show where Guo‐Yuan Yang may publish in the future.

Co-authorship network of co-authors of Guo‐Yuan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Guo‐Yuan Yang. A scholar is included among the top collaborators of Guo‐Yuan Yang 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 Guo‐Yuan Yang. Guo‐Yuan Yang 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 11
2 4
3 12
4 35
5 12
6 21
7 44
8 63
9 27
10 98
11 34
12 8
13 16
14 90
15 5
16 32
17 18
18
The biphasic function of microglia in ischemic stroke breakdown →
599
19 12
20
[The relationship of non-Hodgkin's lymphoma with P16 protein expression].
1

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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