Xu Hou

837 total citations
30 papers, 652 citations indexed

About

Xu Hou is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Xu Hou has authored 30 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Xu Hou's work include Gout, Hyperuricemia, Uric Acid (5 papers), Alzheimer's disease research and treatments (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). Xu Hou is often cited by papers focused on Gout, Hyperuricemia, Uric Acid (5 papers), Alzheimer's disease research and treatments (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). Xu Hou collaborates with scholars based in China, United States and Australia. Xu Hou's co-authors include Yangang Wang, Donghua Xu, Ying Liu, Melloni N. Cook, Yunyang Wang, Wenshan Lv, Xiujuan Jia, Bin Wang, Na Du and Xinyi Fan and has published in prestigious journals such as PLoS ONE, International Journal of Cancer and International Journal of Environmental Research and Public Health.

In The Last Decade

Xu Hou

29 papers receiving 646 citations

Peers

Xu Hou
Comparison fields: 5 of 107
  • Molecular Biology 165
  • Endocrinology, Diabetes and Metabolism 140
  • Physiology 134
  • Nephrology 109
  • Cellular and Molecular Neuroscience 102
Replace Larissa de Sá Lima with:
Larissa de Sá Lima Brazil
Rob Janssen Netherlands
S. B. Solerte Italy
Rong Huang China
Maarten P. Koeners Netherlands
David J. Dzielak United States
Michael Z. Cicha United States
Katya B. Rubinow United States
Belén Climent Spain
Yoshiaki Masuyama Japan
Larissa de Sá Lima Brazil View profile →
Citations per field, relative to Xu Hou
Xu Hou · 1×
Citations per year, relative to Xu Hou
Xu Hou · 1×

Countries citing papers authored by Xu Hou

Since Specialization
Citations

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

Fields of papers citing papers by Xu Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xu Hou

This figure shows the co-authorship network connecting the top 25 collaborators of Xu Hou. A scholar is included among the top collaborators of Xu 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 Xu Hou. Xu Hou 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 0
2 10
3 6
4 7
5 3
6 36
7 20
8 77
9 106
10 5
11 11
12 15
13 6
14 10
15 16
16 33
17 46
18 38
19 12
20 24

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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