Xiaomei Xu

1.4k citations
31 papers · 1.1k indexed · h-index 13
Topics
Inflammatory mediators and NSAID effects (3 papers)Neurogenesis and neuroplasticity mechanisms (3 papers)Dental Anxiety and Anesthesia Techniques (2 papers)

In The Last Decade

Xiaomei Xu

29 papers receiving 1.1k citations

Peers

Xiaomei Xu
Comparison fields: 5 of 104
  • Molecular Biology 554
  • Cancer Research 323
  • Developmental Neuroscience 315
  • Cellular and Molecular Neuroscience 176
  • Sensory Systems 125
Replace Tetsuji Sekiya with:
Tetsuji Sekiya Japan
Férechté Encha‐Razavi France
Albrecht Röpke Germany
Mohnish Suri United Kingdom
Trinna Cuellar United States
Fabien Agenès France
Rebecca Haffner‐Krausz Israel
Naihong Yan China
Yves De Repentigny Canada
Victoria Mok Siu Canada
Xiaomei Xu relative to Tetsuji Sekiya Japan Tetsuji Sekiya's profile →
Citations per field
00.5×6.2×
Tetsuji Sekiya · 1×
Citations per year

Countries citing papers authored by Xiaomei Xu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaomei Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaomei Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaomei Xu. A scholar is included among the top collaborators of Xiaomei Xu 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 Xiaomei Xu. Xiaomei Xu 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 1
3 3
4 0
5 3
6 1
7 7
8 28
9 5
10
Construction of prediction model of cirrhosis-related hepatic encephalopathy based on machine learning algorithm
2
11 19
12 19
13 13
14 3
15 3
16 15
17 12
18 403
19 6
20 13

About Xiaomei Xu

Xiaomei Xu is a scholar working on Developmental Neuroscience, Anatomy and Complementary and Manual Therapy, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Dental Anxiety and Anesthesia Techniques (2 papers). The work is most often cited by research in Developmental Neuroscience (315 citations), Sensory Systems (125 citations) and Cancer Research (323 citations). Xiaomei Xu has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Q. Richard Lu, Feng Ye, Xiaolei Han, Xuelian He, Qing‐Sheng Mi, Mei Xin, Yang Yu, Fan Wang, Ying Chen and Bruce Appel. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

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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