Shan Ping Yu

3.4k total citations
39 papers, 2.8k citations indexed

About

Shan Ping Yu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Shan Ping Yu has authored 39 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Cellular and Molecular Neuroscience and 11 papers in Physiology. Recurrent topics in Shan Ping Yu's work include Alzheimer's disease research and treatments (9 papers), Neuroscience and Neuropharmacology Research (8 papers) and Mesenchymal stem cell research (6 papers). Shan Ping Yu is often cited by papers focused on Alzheimer's disease research and treatments (9 papers), Neuroscience and Neuropharmacology Research (8 papers) and Mesenchymal stem cell research (6 papers). Shan Ping Yu collaborates with scholars based in United States, China and Sweden. Shan Ping Yu's co-authors include Ling Wei, Keqiang Ye, Xia Liu, Mingke Song, Zhentao Zhang, Zheng Wei, Xiaohuan Gu, Dennis W. Choi, Seong Su Kang and Nicholas T. Seyfried and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Nature Medicine.

In The Last Decade

Shan Ping Yu

38 papers receiving 2.8k citations

Peers

Shan Ping Yu
Comparison fields: 5 of 106
  • Molecular Biology 1.2k
  • Cellular and Molecular Neuroscience 884
  • Physiology 787
  • Pharmacology 395
  • Neurology 373
Replace Natalie J. Gardiner with:
Natalie J. Gardiner United Kingdom
John Grist United Kingdom
Xin‐Kang Tong Canada
Kuen‐Jer Tsai Taiwan
Anna Maria Di Giulio Italy
Olivier Nicole France
Francesca Boscia Italy
Dongming Cai United States
Natalie J. Gardiner United Kingdom View profile →
Citations per field, relative to Shan Ping Yu
Shan Ping Yu · 1×
Citations per year, relative to Shan Ping Yu
Shan Ping Yu · 1×

Countries citing papers authored by Shan Ping Yu

Since Specialization
Citations

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

Fields of papers citing papers by Shan Ping Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shan Ping Yu. 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 Shan Ping Yu. The network helps show where Shan Ping Yu may publish in the future.

Co-authorship network of co-authors of Shan Ping Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Shan Ping Yu. A scholar is included among the top collaborators of Shan Ping Yu 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 Shan Ping Yu. Shan Ping Yu 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 19
2 72
3 44
4 47
5 7
6 15
7 14
8 47
9 386
10 37
11 36
12 45
13 197
14 44
15 18
16 132
17 9
18 192
19 98
20 161

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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