Xiaojun Hou

422 total citations
19 papers, 283 citations indexed

About

Xiaojun Hou is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Cellular and Molecular Neuroscience. According to data from OpenAlex, Xiaojun Hou has authored 19 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Xiaojun Hou's work include Video Surveillance and Tracking Methods (5 papers), Pluripotent Stem Cells Research (2 papers) and Neurological Disease Mechanisms and Treatments (2 papers). Xiaojun Hou is often cited by papers focused on Video Surveillance and Tracking Methods (5 papers), Pluripotent Stem Cells Research (2 papers) and Neurological Disease Mechanisms and Treatments (2 papers). Xiaojun Hou collaborates with scholars based in China, United States and France. Xiaojun Hou's co-authors include Jie Hao, Qi Zhou, Alice Jouneau, Tang Hai, Liu Wang, Shangying Liao, Chunsheng Han, Yang Yu, Xiangpeng Dai and Yong Fan and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Cerebral Cortex.

In The Last Decade

Xiaojun Hou

17 papers receiving 278 citations

Peers

Xiaojun Hou
Comparison fields: 5 of 65
  • Molecular Biology 151
  • Public Health, Environmental and Occupational Health 55
  • Cognitive Neuroscience 50
  • Genetics 37
  • Cellular and Molecular Neuroscience 36
Replace Yusaku Katada with:
Yusaku Katada Japan
Ryan Chen United States
Yingli Fan United States
Xiaotong Wu China
Chenxi Tian China
Xiaoming Chen China
Elisa E. Cornish Australia
Guannan Li China
Yusaku Katada Japan View profile →
Citations per field, relative to Xiaojun Hou
Xiaojun Hou · 1×
Citations per year, relative to Xiaojun Hou
Xiaojun Hou · 1×

Countries citing papers authored by Xiaojun Hou

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojun Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojun Hou

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 1
2 0
3 36
4 2
5 0
6 1
7 4
8 1
9 4
10 13
11 10
12 5
13
HNSC exosome-derived MIAT improves cognitive disorders in rats with vascular dementia via the miR-34b-5p/CALB1 axis.
19
14 62
15 32
16 18
17 60
18 13
19
[Analysis on mutation of adrenoleukodystrophy gene in exon 1 and exon 5].
2

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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