Chi‐Wei Huang

60 papers receiving 1.1k citations

Peers

Chi‐Wei Huang
Comparison fields: 5 of 91
  • Psychiatry and Mental health 233
  • Biological Psychiatry 37
  • Neurology 101
  • Neurology 138
  • Cellular and Molecular Neuroscience 149
Replace Nai-Ching Chen with:
Nai-Ching Chen Taiwan
Takefumi Yuzuriha Japan
Margaret E. Flanagan United States
Junliang Yuan China
Ioannis Liampas Greece
H.-K. Kuo United States
Antonia Ceccarelli Italy
Dongming Zheng China
Einor Ben Assayag Israel
Dawn C. Matthews United States
Chi‐Wei Huang relative to Nai-Ching Chen Taiwan Nai-Ching Chen's profile →
Citations per field
00.5×1.5×1.9×
Nai-Ching Chen · 1×
Citations per year

Countries citing papers authored by Chi‐Wei Huang

Since Specialization
Citations

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

Fields of papers citing papers by Chi‐Wei Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi‐Wei Huang. 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 Chi‐Wei Huang. The network helps show where Chi‐Wei Huang may publish in the future.

Co-authors

The 25 scholars most cited alongside Chi‐Wei Huang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chi‐Wei Huang Line = papers co-authored together Chi‐Wei Huang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020122
2 2009107
3 201564
4 202351
5 201840
6 202338
7 201635
8 201034
9 201533
10 201630
11 202229
12
Hyperhomocysteinemia in Alzheimer dementia patients and cognitive decline after 6 months follow-up period.
201029
13 201025
14 201422
15
Montreal cognitive assessment in assessing clinical severity and white matter hyperintensity in Alzheimer's disease with normal control comparison.
201222
16 201221
17 201521
18 201919
19 201719
20 201318

About Chi‐Wei Huang

Chi‐Wei Huang is a scholar working on Psychiatry and Mental health, Physiology, Radiology, Nuclear Medicine and Imaging, Rheumatology and Molecular Biology, having authored 64 papers that have together received 1.1k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (22 papers), Alzheimer's disease research and treatments (11 papers), Advanced Neuroimaging Techniques and Applications (11 papers), Folate and B Vitamins Research (7 papers), Functional Brain Connectivity Studies (7 papers), Heme Oxygenase-1 and Carbon Monoxide (4 papers), Advanced MRI Techniques and Applications (3 papers) and Cerebrospinal fluid and hydrocephalus (2 papers). The work is most often cited by research in Psychiatry and Mental health (233 citations), Biological Psychiatry (37 citations), Neurology (101 citations), Neurology (138 citations) and Cellular and Molecular Neuroscience (149 citations). Chi‐Wei Huang has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Chiung‐Chih Chang, Wen‐Neng Chang, Shu‐Hua Huang, Chen‐Chang Lee, Nai-Ching Chen, Ya‐Ting Chang, Chun‐Chung Lui, Shih‐Wei Hsu, Chiung-Chih Chang and Pin‐Hsuan Lin. Their work appears in journals such as Medicine, Frontiers in Aging Neuroscience, NeuroToxicology, Alzheimer s Research & Therapy and Molecular Neurobiology.

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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