Yuan Hou

4.9k citations
33 papers · 2.4k indexed · 1 hit paper · h-index 16
Topics
Computational Drug Discovery Methods (7 papers)Bioinformatics and Genomic Networks (6 papers)COVID-19 Clinical Research Studies (5 papers)
Partner nations
United StatesChinaIsrael

In The Last Decade

Yuan Hou

30 papers receiving 2.4k citations

Hit Papers

Network-based drug repurposing for novel coronavirus 2019...202020262022202420202505007501000

Peers

Yuan Hou
Comparison fields: 5 of 129
  • Molecular Biology 1.1k
  • Computational Theory and Mathematics 873
  • Infectious Diseases 782
  • Neurology 194
  • Immunology 160
Replace Yin Huang with:
Yin Huang China
Katherine J. Escott United Kingdom
David Cavalla United States
Christine J. McNamee United Kingdom
Sudeep Pushpakom United Kingdom
Jiayu Shen China
Shirley Hopper United Kingdom
Shan Zhao United States
Piet H. van der Graaf Netherlands
Janet Piñero Spain
Yuan Hou relative to Yin Huang China Yin Huang's profile →
Citations per field
00.5×1.5×
Yin Huang · 1×
Citations per year

Countries citing papers authored by Yuan Hou

Since Specialization
Citations

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

Fields of papers citing papers by Yuan Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan Hou

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan Hou. A scholar is included among the top collaborators of Yuan 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 Yuan Hou. Yuan 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
#WorkIndexed citations
1 4
2 4
3 3
4 2
5 1
6 1
7 10
8 60
9 20
10 61
11 2
12 15
13 9
14 57
15 169
16
Network-based drug repurposing for novel coronavirus 2019-nCoV/SARS-CoV-2breakdown →
1128
17 132
18 156
19 54
20 2

About Yuan Hou

Yuan Hou is a scholar working on Biological Psychiatry, Neurology and Aging, having authored 33 papers that have together received 2.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Bioinformatics and Genomic Networks (6 papers) and COVID-19 Clinical Research Studies (5 papers). The work is most often cited by research in Computational Theory and Mathematics (873 citations), Infectious Diseases (782 citations) and Biological Psychiatry (104 citations). Yuan Hou has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Feixiong Cheng, Yadi Zhou, Jiayu Shen, Yin Huang, William R. Martin, Andrew A. Pieper, Lang Li, Charis Eng, Jiansong Fang and Xiangxiang Zeng. Their work appears in journals such as Nature Communications, Bioinformatics and Scientific Reports.

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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