Bing Shuai

3.0k citations
43 papers · 2.3k indexed · h-index 23
Topics
Neurogenesis and neuroplasticity mechanisms (18 papers)Neuroinflammation and Neurodegeneration Mechanisms (16 papers)Extracellular vesicles in disease (8 papers)
Partner nations
United StatesChinaBrazil

In The Last Decade

Bing Shuai

42 papers receiving 2.3k citations

Peers

Bing Shuai
Comparison fields: 5 of 113
  • Molecular Biology 1.1k
  • Neurology 538
  • Developmental Neuroscience 497
  • Psychiatry and Mental health 467
  • Cellular and Molecular Neuroscience 455
Replace Peter Leeds with:
Peter Leeds United States
Francesca Biagioni Italy
Pascale Schumann‐Bard France
Marong Fang China
Carlos Spuch Spain
Geetha A. Shetty United States
Elke Stransky Germany
Aideen M. Sullivan Ireland
Xuefei Wu China
Adina T. Michael‐Titus United Kingdom
Bing Shuai relative to Peter Leeds United States Peter Leeds's profile →
Citations per field
00.5×4.2×
Peter Leeds · 1×
Citations per year

Countries citing papers authored by Bing Shuai

Since Specialization
Citations

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

Fields of papers citing papers by Bing Shuai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Shuai

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Shuai. A scholar is included among the top collaborators of Bing Shuai 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 Bing Shuai. Bing Shuai 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
#WorkIndexed citations
1 0
2 2
3 1
4 16
5 20
6 11
7 106
8 75
9 11
10 91
11 46
12 30
13 93
14 35
15 76
16 111
17 147
18 20
19
[Epidural butorphanol analgesia in elderly patients undergoing hip replacement].
1
20 177

About Bing Shuai

Bing Shuai is a scholar working on Developmental Neuroscience, Neurology and Behavioral Neuroscience, having authored 43 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (18 papers), Neuroinflammation and Neurodegeneration Mechanisms (16 papers) and Extracellular vesicles in disease (8 papers). The work is most often cited by research in Developmental Neuroscience (497 citations), Biological Psychiatry (166 citations) and Neurology (538 citations). Bing Shuai has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include Ashok K. Shetty, Bharathi Hattiangady, Maheedhar Kodali, Vipan K. Parihar, Sahithi Attaluri, Leelavathi N. Madhu, Dinesh Upadhya, Darwin J. Prockop, Vikas Mishra and Dong Ki Kim. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

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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