Pei-Chieng Cha

826 total citations
11 papers, 225 citations indexed

About

Pei-Chieng Cha is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, Pei-Chieng Cha has authored 11 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Pharmacology. Recurrent topics in Pei-Chieng Cha's work include Nuclear Receptors and Signaling (3 papers), Pharmacogenetics and Drug Metabolism (3 papers) and CRISPR and Genetic Engineering (2 papers). Pei-Chieng Cha is often cited by papers focused on Nuclear Receptors and Signaling (3 papers), Pharmacogenetics and Drug Metabolism (3 papers) and CRISPR and Genetic Engineering (2 papers). Pei-Chieng Cha collaborates with scholars based in Japan, Malaysia and China. Pei-Chieng Cha's co-authors include Taisei Mushiroda, Naoyuki Kamatani, Atsushi Takahashi, Yasukazu Nakamura, Shiro Minami, Wataru Satake, Tatsushi Toda, Yusuke Nakamura, Kazuhiro Kobayashi and Yukinori Okada and has published in prestigious journals such as Human Molecular Genetics, Journal of Neurology Neurosurgery & Psychiatry and Journal of the Neurological Sciences.

In The Last Decade

Pei-Chieng Cha

11 papers receiving 221 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pei-Chieng Cha Japan 7 111 66 57 40 35 11 225
Leanne K. Winner Australia 8 147 1.3× 88 1.3× 78 1.4× 17 0.4× 35 1.0× 11 331
Oktay F. Rifki United States 5 75 0.7× 156 2.4× 66 1.2× 14 0.3× 22 0.6× 6 320
Eric A. Millican United States 4 184 1.7× 44 0.7× 34 0.6× 84 2.1× 8 0.2× 7 312
Ursula Hering Germany 7 131 1.2× 91 1.4× 130 2.3× 74 1.9× 10 0.3× 7 323
Simran Maggo New Zealand 11 114 1.0× 101 1.5× 44 0.8× 18 0.5× 32 0.9× 32 317
Yukiyoshi Fujita Japan 10 78 0.7× 78 1.2× 82 1.4× 40 1.0× 9 0.3× 39 358
Hong-Hao Zhou China 6 120 1.1× 173 2.6× 75 1.3× 22 0.6× 24 0.7× 8 364
Natalie J. Warner United States 6 169 1.5× 107 1.6× 137 2.4× 30 0.8× 34 1.0× 8 377
Jeffrey Rollo United States 8 144 1.3× 56 0.8× 16 0.3× 53 1.3× 17 0.5× 14 345
Yu‐Nien Sun United States 8 62 0.6× 135 2.0× 50 0.9× 73 1.8× 34 1.0× 8 355

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-authorship network of co-authors of Pei-Chieng Cha

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

All Works

11 of 11 papers shown
1.
Nakano, Hiroko, Pei-Chieng Cha, Yukio Ando, et al.. (2025). Regulation of MCCC1 expression by a Parkinson’s disease-associated intronic variant: implications for pathogenesis. Journal of Human Genetics. 70(7). 371–374. 1 indexed citations
2.
Naito, Tatsuhiko, Wataru Satake, Pei-Chieng Cha, et al.. (2022). Comparative whole transcriptome analysis of Parkinson’s disease focusing on the efficacy of zonisamide. Journal of Neurology Neurosurgery & Psychiatry. 93(5). 509–512. 2 indexed citations
3.
Hirano, Makito, Wataru Satake, Nobuko Moriyama, et al.. (2020). Bardet–Biedl syndrome and related disorders in Japan. Journal of Human Genetics. 65(10). 847–853. 10 indexed citations
4.
Cha, Pei-Chieng, et al.. (2020). Genome-wide association study identifies zonisamide responsive gene in Parkinson’s disease patients. Journal of Human Genetics. 65(8). 693–704. 11 indexed citations
5.
Uenaka, Takeshi, Wataru Satake, Pei-Chieng Cha, et al.. (2018). In silico drug screening by using genome-wide association study data repurposed dabrafenib, an anti-melanoma drug, for Parkinson’s disease. Human Molecular Genetics. 27(22). 3974–3985. 31 indexed citations
6.
Uenaka, Takeshi, Wataru Satake, Pei-Chieng Cha, et al.. (2017). In silico drug screening identified a novel disease-modifying drug for Parkinson’s disease. Journal of the Neurological Sciences. 381. 1045–1045. 1 indexed citations
7.
Oda, Tetsuya, Hui Xiong, Kazuhiro Kobayashi, et al.. (2015). A de novo mutation of the MYH7 gene in a large Chinese family with autosomal dominant myopathy. Human Genome Variation. 2(1). 15022–15022. 5 indexed citations
8.
Cha, Pei-Chieng, Taisei Mushiroda, Atsushi Takahashi, et al.. (2010). Genome-wide association study identifies genetic determinants of warfarin responsiveness for Japanese. Human Molecular Genetics. 19(23). 4735–4744. 100 indexed citations
9.
Cha, Pei-Chieng, Taisei Mushiroda, Hitoshi Zembutsu, et al.. (2009). Single nucleotide polymorphism in ABCG2 is associated with irinotecan-induced severe myelosuppression. Journal of Human Genetics. 54(10). 572–580. 36 indexed citations
11.
Cha, Pei-Chieng, Ryo Yamada, Akihiro Sekine, Yusuke Nakamura, & Chong‐Lek Koh. (2004). Inference from the relationships between linkage disequilibrium and allele frequency distributions of 240 candidate SNPs in 109 drug-related genes in four Asian populations. Journal of Human Genetics. 49(10). 558–572. 8 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026