Yane Guo

441 citations
19 papers · 313 · h-index 11

Impact in

Papers in

Yane Guo

18 papers receiving 310 citations

Peers

Yane Guo
Comparison fields: 5 of 73
  • Cognitive Neuroscience 151
  • Psychiatry and Mental health 93
  • Neurology 37
  • Radiology, Nuclear Medicine and Imaging 92
  • Computational Mathematics 2
Replace Xiaoqing Jin with:
Xiaoqing Jin China
Stephen Damon United States
Weijie Huang China
Duygu Tosun United States
Qingxia Lin China
Chengmin Yang China
Julian Dronse Germany
Wasim Khan Australia
Mar Estarellas United Kingdom
Shivangi Vora United States
Yane Guo relative to Xiaoqing Jin China Xiaoqing Jin's profile →
Citations per field
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Xiaoqing Jin · 1×
Citations per year

Countries citing papers authored by Yane Guo

Since Specialization
Citations

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

Fields of papers citing papers by Yane Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 202051
2 202143
3 201435
4 201426
5 201524
6 201421
7 201620
8 201819
9 202119
10 202018
11 202110
12
[A cross-sectional study of neurological disease in the veterans of military communities in Beijing].
20108
13 20225
14 20244
15 20214
16 20243
17 20192
18
[A retrospective study of clinical features of migraine].
20081
19 20250

About Yane Guo

Yane Guo is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health, Physiology, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 19 papers that have together received 313 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (8 papers), Functional Brain Connectivity Studies (8 papers), Alzheimer's disease research and treatments (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Pharmacological Effects of Medicinal Plants (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Blood Pressure and Hypertension Studies (2 papers) and Frailty in Older Adults (2 papers). The work is most often cited by research in Cognitive Neuroscience (151 citations), Psychiatry and Mental health (93 citations), Neurology (37 citations), Radiology, Nuclear Medicine and Imaging (92 citations) and Computational Mathematics (2 citations). Yane Guo has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Bo Zhou, Hongxiang Yao, Ningyu An, Yanchang Shang, Zengqiang Zhang, Pan Wang, Luning Wang, Yong Liu, Xi Zhang and Jiao Fan. Their work appears in journals such as Frontiers in Aging Neuroscience, Scientific Reports, IEEE Journal of Selected Topics in Signal Processing, Brain Connectivity and Aging Clinical and Experimental Research.

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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