Pei-Chieng Cha

1.2k citations
16 papers · 520 · h-index 11

Impact in

Papers in

    • Intracranial Aneurysms: Treatment and Complications 2
    • Parkinson's Disease Mechanisms and Treatments 2

Pei-Chieng Cha

16 papers receiving 512 citations

Peers

Pei-Chieng Cha
Comparison fields: 5 of 68
  • Pharmacology 111
  • Obstetrics and Gynecology 73
  • Reproductive Medicine 59
  • Neurology 97
  • Rheumatology 45
Replace Kiyonori Kai with:
Kiyonori Kai Japan
Tianbo Jin China
A. Hajba Finland
Masayoshi Yamauchi Japan
Mei Xiang China
H D Chern United States
E.P. Dawson United States
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Christopher Hall United States
K. M. Rowland United States
Pei-Chieng Cha relative to Kiyonori Kai Japan Kiyonori Kai's profile →
Citations per field
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Kiyonori Kai · 1×
Citations per year

Countries citing papers authored by Pei-Chieng Cha

Since Specialization
Citations

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

Fields of papers citing papers by Pei-Chieng Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pei-Chieng Cha. 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-Chieng Cha. The network helps show where Pei-Chieng Cha may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2010109
2 201298
3 201193
4 200937
5 201236
6 201834
7 201128
8 201225
9 200721
10 202012
11 202010
12 20048
13 20155
14 20222
15 20251
16 20171

About Pei-Chieng Cha

Pei-Chieng Cha is a scholar working on Molecular Biology, Neurology, Genetics, Cellular and Molecular Neuroscience and Pharmacology, having authored 16 papers that have together received 520 indexed citations. Recurring topics across this work include Nuclear Receptors and Signaling (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Intracranial Aneurysms: Treatment and Complications (2 papers), Genetic Syndromes and Imprinting (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Vitamin K Research Studies (1 paper). The work is most often cited by research in Pharmacology (111 citations), Obstetrics and Gynecology (73 citations), Reproductive Medicine (59 citations), Neurology (97 citations) and Rheumatology (45 citations). Pei-Chieng Cha has collaborated with scholars based in Japan, China and Malaysia. Frequent co-authors include Naoyuki Kamatani, Atsushi Takahashi, Yusuke Nakamura, Michiaki Kubo, Siew‐Kee Low, Hitoshi Zembutsu, Taisei Mushiroda, Atsushi Takahashi, Shiro Minami and Yasukazu Nakamura. Their work appears in journals such as Human Molecular Genetics, Nature Genetics, PLoS ONE, Journal of the Neurological Sciences and Journal of Neurology Neurosurgery & Psychiatry.

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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