Chun‐Hwei Tai

3.1k citations
80 papers · 2.2k indexed · h-index 26

Chun‐Hwei Tai

78 papers receiving 2.2k citations

Peers

Chun‐Hwei Tai
Comparison fields: 5 of 114
  • Neurology 1.2k
  • Cellular and Molecular Neuroscience 854
  • Physical Therapy, Sports Therapy and Rehabilitation 202
  • Neurology 217
  • Clinical Biochemistry 136
Replace Tommaso Schirinzi with:
Tommaso Schirinzi Italy
Marina Svetel Serbia
Carlos Roberto de Mello Rieder Brazil
Kathrin Brockmann Germany
Lars Forsgren Sweden
Jarosław Sławek Poland
Beomseok Jeon South Korea
Anette Storstein Norway
Carlos Singer United States
Monika Rudzińska Poland
Chun‐Hwei Tai relative to Tommaso Schirinzi Italy Tommaso Schirinzi's profile →
Citations per field
00.5×2.7×
Tommaso Schirinzi · 1×
Citations per year

Countries citing papers authored by Chun‐Hwei Tai

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Hwei Tai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun‐Hwei Tai. 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 Chun‐Hwei Tai. The network helps show where Chun‐Hwei Tai may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Chun‐Hwei Tai, 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 Chun‐Hwei Tai Line = papers co-authored together Chun‐Hwei Tai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20241
3 20241
4 20246
5 202336
6 20225
7 20224
8 20211
9 20168
10 201533
11 201242
12 201145
13 201034
14 201019
15 201024
16 200916
17 200920
18 200845
19 20078
20 200226

About Chun‐Hwei Tai

Chun‐Hwei Tai is a scholar working on Neurology, Cellular and Molecular Neuroscience and Physical Therapy, Sports Therapy and Rehabilitation, having authored 80 papers that have together received 2.2k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (47 papers), Neurological disorders and treatments (37 papers), Genetic Neurodegenerative Diseases (19 papers), Neurological diseases and metabolism (9 papers), Metabolism and Genetic Disorders (8 papers), Cerebral Palsy and Movement Disorders (7 papers), Neuroscience and Neuropharmacology Research (7 papers) and Balance, Gait, and Falls Prevention (7 papers). The work is most often cited by research in Neurology (1.2k citations), Cellular and Molecular Neuroscience (854 citations) and Physical Therapy, Sports Therapy and Rehabilitation (202 citations). Chun‐Hwei Tai has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Ruey‐Meei Wu, Chin‐Hsien Lin, Sheng‐Hong Tseng, Wuh‐Liang Hwu, Ni‐Chung Lee, Yin‐Hsiu Chien, Barry J. Byrne, Shin‐ichi Muramatsu, Sheau‐Ling Huang and Ching‐Lin Hsieh. Their work appears in journals such as Journal of Clinical Investigation, Journal of Neuroscience and SHILAP Revista de lepidopterología.

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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