Yu-Chang Hou

23 total papers · 568 total citations
19 papers, 486 citations indexed

About

Yu-Chang Hou is a scholar working on Neurology, Molecular Biology and General Health Professions. According to data from OpenAlex, Yu-Chang Hou has authored 19 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Neurology, 4 papers in Molecular Biology and 3 papers in General Health Professions. Recurrent topics in Yu-Chang Hou's work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Healthcare Policy and Management (3 papers) and Signaling Pathways in Disease (2 papers). Yu-Chang Hou is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Healthcare Policy and Management (3 papers) and Signaling Pathways in Disease (2 papers). Yu-Chang Hou collaborates with scholars based in Taiwan, Japan and China. Yu-Chang Hou's co-authors include Yuh‐Chiang Shen, Yea‐Hwey Wang, Kuo‐Tong Liou, Jyh‐Fei Liao, Chang‐Ming Chern, Wen-Yen Wang, Chih‐Cheng Chen, Lie‐Chwen Lin, Yueh‐Ching Chou and Tsung‐Hsien Yu and has published in prestigious journals such as PLoS ONE, Biochemical Pharmacology and Journal of Ethnopharmacology.

In The Last Decade

Yu-Chang Hou

17 papers receiving 475 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yu-Chang Hou 170 86 69 63 63 19 486
Wenjing Deng 166 1.0× 54 0.6× 62 0.9× 33 0.5× 52 0.8× 25 502
Qianghua Yuan 171 1.0× 55 0.6× 43 0.6× 56 0.9× 58 0.9× 15 449
Rania Abdellatif 135 0.8× 50 0.6× 52 0.8× 25 0.4× 42 0.7× 25 521
Weihong Meng 246 1.4× 72 0.8× 66 1.0× 10 0.2× 52 0.8× 25 543
Xiaoli Hou 220 1.3× 37 0.4× 42 0.6× 21 0.3× 37 0.6× 31 511
Mixia Zhang 163 1.0× 61 0.7× 60 0.9× 25 0.4× 45 0.7× 14 460
Pramote Mahakunakorn 126 0.7× 38 0.4× 45 0.7× 15 0.2× 84 1.3× 22 486
Shijian Quan 184 1.1× 62 0.7× 36 0.5× 18 0.3× 56 0.9× 21 434
Xiaolin Dai 201 1.2× 81 0.9× 21 0.3× 14 0.2× 68 1.1× 14 498
Talita P. Domiciano 208 1.2× 46 0.5× 20 0.3× 20 0.3× 111 1.8× 15 472

Countries citing papers authored by Yu-Chang Hou

Since Specialization
Citations

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

Fields of papers citing papers by Yu-Chang Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu-Chang Hou

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

All Works

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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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