Wen‐Hsien Hou

460 citations
14 papers · 203 indexed · h-index 6
Topics
Neuroscience and Neuropharmacology Research (8 papers)Memory and Neural Mechanisms (8 papers)Neural dynamics and brain function (4 papers)
Partner nations
DenmarkTaiwanAustria

In The Last Decade

Wen‐Hsien Hou

12 papers receiving 202 citations

Peers

Wen‐Hsien Hou
Comparison fields: 5 of 49
  • Cellular and Molecular Neuroscience 118
  • Molecular Biology 74
  • Cognitive Neuroscience 64
  • Physiology 52
  • Developmental Neuroscience 50
Replace Michael J. Yetman with:
Michael J. Yetman United States
David Alcantara‐Gonzalez United States
Laura Sancho United States
Kärt Mätlik Finland
Andrew D. Nelson United States
Bisrat T. Woldemichael Switzerland
Márton Rózsa Hungary
Katrina Albert Finland
Abigail C. Gambrill United States
Ryan M. Wyatt United States
Wen‐Hsien Hou relative to Michael J. Yetman United States Michael J. Yetman's profile →
Citations per field
00.5×1.5×2.3×
Michael J. Yetman · 1×
Citations per year

Countries citing papers authored by Wen‐Hsien Hou

Since Specialization
Citations

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

Fields of papers citing papers by Wen‐Hsien Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen‐Hsien Hou

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 1
2 1
3 0
4 1
5 4
6 1
7 22
8 1
9 27
10 0
11 22
12 8
13 81
14 34

About Wen‐Hsien Hou

Wen‐Hsien Hou is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Instrumentation, having authored 14 papers that have together received 203 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (8 papers), Memory and Neural Mechanisms (8 papers) and Neural dynamics and brain function (4 papers). The work is most often cited by research in Developmental Neuroscience (50 citations), Cellular and Molecular Neuroscience (118 citations) and Neurology (29 citations). Wen‐Hsien Hou has collaborated with scholars based in Denmark, Taiwan and Austria. Frequent co-authors include Cheng‐Chang Lien, Po‐Min Chiang, Kuen‐Jer Tsai, Cheng‐Chun Wu, Chin‐Lin Chen, Jen‐Kun Cheng, Yu‐Cheng Chang, Marco Capogna, Meei‐Ling Tsaur and Hsien‐Sung Huang. Their work appears in journals such as Neuron, Journal of Neuroscience 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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