Xiaoyin Niu

2.4k citations
52 papers · 1.7k indexed · h-index 22
Topics
T-cell and B-cell Immunology (10 papers)Cytokine Signaling Pathways and Interactions (9 papers)Psoriasis: Treatment and Pathogenesis (8 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaThe EMBO Journal

In The Last Decade

Xiaoyin Niu

49 papers receiving 1.7k citations

Peers

Xiaoyin Niu
Comparison fields: 5 of 111
  • Immunology 596
  • Molecular Biology 509
  • Surgery 273
  • Oncology 273
  • Rheumatology 236
Replace Jinsong Wang with:
Jinsong Wang China
Xiaoke Feng China
Claudio Humeres United States
Haitao Fu China
Haitao Xu China
Akira Igarashi Japan
Bin Jiang China
Takayuki Nakamura Japan
Jong-Soo Kim South Korea
Carmen Mihaela Mihu Romania
Xiaoyin Niu relative to Jinsong Wang China Jinsong Wang's profile →
Citations per field
00.5×3.1×
Jinsong Wang · 1×
Citations per year

Countries citing papers authored by Xiaoyin Niu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyin Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyin Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyin Niu. A scholar is included among the top collaborators of Xiaoyin Niu 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 Xiaoyin Niu. Xiaoyin Niu 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 11
4 15
5 4
6 2
7 9
8 2
9 72
10 33
11 15
12
Effects and safety of magnesium sulfate on propofol-induced injection pain, a meta-analysis of randomized controlled trials.
5
13 99
14 25
15 4
16 72
17 124
18 69
19 96
20 71

About Xiaoyin Niu

Xiaoyin Niu is a scholar working on Anesthesiology and Pain Medicine, Immunology and Developmental Neuroscience, having authored 52 papers that have together received 1.7k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (10 papers), Cytokine Signaling Pathways and Interactions (9 papers) and Psoriasis: Treatment and Pathogenesis (8 papers). The work is most often cited by research in Immunology (596 citations), Anesthesiology and Pain Medicine (116 citations) and Rheumatology (236 citations). Xiaoyin Niu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Guangjie Chen, Yebin Xi, Xibing Ding, Chen Dong, Jingwu Z. Zhang, Shukun Fu, Dongyi He, Xuexian O. Yang, Hao Ren and Shuqing Jin. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and The EMBO Journal.

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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