Pei‐Chien Tsai

1.3k citations
37 papers · 799 indexed · h-index 16
  • Genetics top 5%
    • Neurogenetic and Muscular Disorders Research 11
    • Virus-based gene therapy research 3
  • Neurology top 5%
    • Amyotrophic Lateral Sclerosis Research 14
    • Neurological diseases and metabolism 8
    • Parkinson's Disease Mechanisms and Treatments 4
  • Neurology top 5%
    • Amyotrophic Lateral Sclerosis Research 14
    • Neurological diseases and metabolism 8
    • Parkinson's Disease Mechanisms and Treatments 4
    • Genetic Neurodegenerative Diseases 13
    • Hereditary Neurological Disorders 10
    • Mitochondrial Function and Pathology 3

Pei‐Chien Tsai

35 papers receiving 791 citations

Peers

Pei‐Chien Tsai
Comparison fields: 5 of 65
  • Genetics 241
  • Neurology 327
  • Neurology 156
  • Cellular and Molecular Neuroscience 194
  • Otorhinolaryngology 31
Replace Cristina Porcheri with:
Cristina Porcheri Switzerland
Jonathan Serrano United States
Siyi Wanggou China
Jan Manent United States
Paula Ravin United States
Silvestre Oltra Spain
Augusto Colombo Italy
Maria Gagliardi Italy
Aurora Lopez‐Rosas United States
Kazuhiro Aiba Japan
Pei‐Chien Tsai relative to Cristina Porcheri Switzerland Cristina Porcheri's profile →
Citations per field
00.5×10×13.6×
Cristina Porcheri · 1×
Citations per year

Countries citing papers authored by Pei‐Chien Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Pei‐Chien Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pei‐Chien Tsai. 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 Pei‐Chien Tsai. The network helps show where Pei‐Chien Tsai may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20232
3 20214
4 202111
5 202011
6 20209
7 20196
8 20189
9 201716
10 201713
11 201710
12 201619
13 201576
14 201420
15 20149
16 201337
17 201310
18 201245
19 201212
20 200728

About Pei‐Chien Tsai

Pei‐Chien Tsai is a scholar working on Neurology, Genetics and Neurology, having authored 37 papers that have together received 799 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (14 papers), Genetic Neurodegenerative Diseases (13 papers), Neurogenetic and Muscular Disorders Research (11 papers), Hereditary Neurological Disorders (10 papers), Neurological diseases and metabolism (8 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Virus-based gene therapy research (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Genetics (241 citations), Neurology (327 citations) and Neurology (156 citations). Pei‐Chien Tsai has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Yi‐Chung Lee, Bing‐Wen Soong, Yi‐Chu Liao, Jiaming Wu, Kon‐Ping Lin, Chiung‐Chih Chang, Shyh‐An Yeh, Matthew Breen, Kon-Ping Lin and Yuh‐Cherng Guo. Their work appears in journals such as PLoS ONE, Neurology 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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