Shu Liu

1.2k citations
18 papers · 209 indexed · 1 hit paper · h-index 7
Topics
Functional Brain Connectivity Studies (5 papers)Genetic Associations and Epidemiology (4 papers)Neural dynamics and brain function (3 papers)

In The Last Decade

Shu Liu

14 papers receiving 208 citations

Hit Papers

The brain structure, inflammatory, and genetic mechanisms...2024202620252024102030

Peers

Shu Liu
Comparison fields: 5 of 69
  • Cognitive Neuroscience 52
  • Aging 50
  • Physiology 45
  • Endocrine and Autonomic Systems 41
  • Molecular Biology 36
Replace Gabriela Xavier with:
Gabriela Xavier Brazil
Yingfei Wu United States
Gemma Shireby United Kingdom
Bruno Setton Gonçalves Brazil
Anna Ashton United Kingdom
Tadasu Horai Japan
G. Mark Freeman United States
Miren Altuna Spain
Paolo Curatolo Italy
Assunta Ingannato Italy
Shu Liu relative to Gabriela Xavier Brazil Gabriela Xavier's profile →
Citations per field
00.5×1.5×1.8×
Gabriela Xavier · 1×
Citations per year

Countries citing papers authored by Shu Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shu Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Shu Liu. A scholar is included among the top collaborators of Shu Liu 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 Shu Liu. Shu Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4
The brain structure, inflammatory, and genetic mechanisms mediate the association between physical frailty and depressionbreakdown →
36
5 0
6 0
7 1
8 2
9 4
10 6
11 37
12 16
13 15
14 6
15 17
16 1
17 64
18 3

About Shu Liu

Shu Liu is a scholar working on Biological Psychiatry, Aging and Cognitive Neuroscience, having authored 18 papers that have together received 209 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (5 papers), Genetic Associations and Epidemiology (4 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Aging (50 citations), Endocrine and Autonomic Systems (41 citations) and Biological Psychiatry (12 citations). Shu Liu has collaborated with scholars based in China, Netherlands and United Kingdom. Frequent co-authors include Ekkehard Schulze, Ralf Baumeister, Guido van Wingen, Karin J. H. Verweij, Abdel Abdellaoui, Jing Sui, Shile Qi, Rongtao Jiang, Dustin Scheinost and Stephanie Noble. Their work appears in journals such as Nature Communications, PLoS ONE and Scientific Reports.

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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