Shanglin Zhou

482 citations
14 papers · 276 indexed · h-index 7
Topics
Neural dynamics and brain function (9 papers)Neuroscience and Neuropharmacology Research (4 papers)Neural Networks and Applications (3 papers)
Partner nations
ChinaUnited StatesItaly

In The Last Decade

Shanglin Zhou

13 papers receiving 273 citations

Peers

Shanglin Zhou
Comparison fields: 5 of 64
  • Cognitive Neuroscience 159
  • Cellular and Molecular Neuroscience 122
  • Molecular Biology 74
  • Electrical and Electronic Engineering 23
  • Organic Chemistry 19
Replace Mohammad Reza Jafari with:
Mohammad Reza Jafari Iran
Hyun Jae Jang South Korea
Thomas Bessaïh France
John Cheriyan India
Marc Parent United States
Ryan C. Williamson United States
Andrea Plano United Kingdom
Peter J. Siekmeier United States
Rafi U. Haque United States
Dan Johnston United States
Shanglin Zhou relative to Mohammad Reza Jafari Iran Mohammad Reza Jafari's profile →
Citations per field
00.5×10×15×20×23×
Mohammad Reza Jafari · 1×
Citations per year

Countries citing papers authored by Shanglin Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Shanglin Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanglin Zhou

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 2
2 0
3 1
4 9
5 8
6 57
7 109
8 2
9 6
10 1
11 4
12 28
13 17
14 32

About Shanglin Zhou

Shanglin Zhou is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Sensory Systems, having authored 14 papers that have together received 276 indexed citations. Recurring topics across this work include Neural dynamics and brain function (9 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Cognitive Neuroscience (159 citations), Cellular and Molecular Neuroscience (122 citations) and Neurology (17 citations). Shanglin Zhou has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Yuguo Yu, Dean V. Buonomano, Sotiris C. Masmanidis, Xuechu Zhen, Bo Gao, Ao Zhang, Na Ye, Lili Xu, Hualiang Jiang and Long Tai Zheng. Their work appears in journals such as Neuron, Scientific Reports and Journal of Medicinal Chemistry.

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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