Shih‐Kai Chu

908 total citations
9 papers, 139 citations indexed

About

Shih‐Kai Chu is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Pharmacology. According to data from OpenAlex, Shih‐Kai Chu has authored 9 papers receiving a total of 139 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Pathology and Forensic Medicine and 2 papers in Pharmacology. Recurrent topics in Shih‐Kai Chu's work include Pharmacogenetics and Drug Metabolism (2 papers), Alcohol Consumption and Health Effects (2 papers) and Hormonal and reproductive studies (1 paper). Shih‐Kai Chu is often cited by papers focused on Pharmacogenetics and Drug Metabolism (2 papers), Alcohol Consumption and Health Effects (2 papers) and Hormonal and reproductive studies (1 paper). Shih‐Kai Chu collaborates with scholars based in Taiwan, United States and Canada. Shih‐Kai Chu's co-authors include Hsin‐Chou Yang, Yu Shyr, Yu‐Ting Lin, Shilin Zhao, Hsiang‐Wei Kuo, Qi Liu, Yu‐Li Liu, Chia‐Wei Chen, Chieh-Liang Huang and Shengwen Liu and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and PLoS Genetics.

In The Last Decade

Shih‐Kai Chu

9 papers receiving 132 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shih‐Kai Chu Taiwan	7	55	26	24	15	14	9	139
Irene Dapía Spain	7	48 0.9×	36 1.4×	45 1.9×	2 0.1×	2 0.1×	9	126
Lester Hui United States	6	70 1.3×	64 2.5×	13 0.5×	10 0.7×	1 0.1×	6	216
Éléa Héberlé France	5	172 3.1×	29 1.1×	4 0.2×	5 0.3×	2 0.1×	5	238
Nina Gonzaludo United States	9	111 2.0×	135 5.2×	98 4.1×	7 0.5×	3 0.2×	11	307
Annie Niehaus United States	6	71 1.3×	92 3.5×	7 0.3×	30 2.0×		14	180
Alyssa Matz United States	8	83 1.5×	17 0.7×	6 0.3×	9 0.6×		13	209
Hiroyuki Takita Japan	6	32 0.6×	6 0.2×	29 1.2×	14 0.9×	2 0.1×	12	150
Yuka Maruyama Japan	5	56 1.0×	58 2.2×	25 1.0×	6 0.4×		10	157
Susan Brown United Kingdom	5	48 0.9×	8 0.3×	27 1.1×	26 1.7×	1 0.1×	6	160
Eva Molero Spain	6	49 0.9×	43 1.7×	7 0.3×	15 1.0×		10	137

Countries citing papers authored by Shih‐Kai Chu

Since Specialization

Citations

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

Fields of papers citing papers by Shih‐Kai Chu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih‐Kai Chu. 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 Shih‐Kai Chu. The network helps show where Shih‐Kai Chu may publish in the future.

Co-authorship network of co-authors of Shih‐Kai Chu

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

All Works

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9 of 9 papers shown

Tsai, Meng‐Che, et al.. (2023). Genome-wide association study of age at menarche in the Taiwan Biobank suggests NOL4 as a novel associated gene. Journal of Human Genetics. 68(5). 339–345. 6 indexed citations

Hsu, Ya‐Ting, Li‐Hsien Chen, Shih‐Kai Chu, et al.. (2023). Electrical Sympathetic Neuromodulation Protects Bone Marrow Niche and Drives Hematopoietic Regeneration during Chemotherapy. Small Methods. 7(6). e2201300–e2201300. 6 indexed citations

Yang, Hsin‐Chou, Chia‐Wei Chen, Yu‐Ting Lin, & Shih‐Kai Chu. (2021). Genetic ancestry plays a central role in population pharmacogenomics. Communications Biology. 4(1). 171–171. 25 indexed citations

Chu, Shih‐Kai, Shilin Zhao, Yu Shyr, & Qi Liu. (2021). Comprehensive evaluation of noise reduction methods for single-cell RNA sequencing data. Briefings in Bioinformatics. 23(2). 25 indexed citations

Das, Satya, Kristen K. Ciombor, Sigurdís Haraldsdóttir, et al.. (2019). Immune checkpoint inhibitors (ICIs) in gastrointestinal (GI) cancer: Immune-related adverse events (IRAEs) and efficacy.. Journal of Clinical Oncology. 37(15_suppl). 4116–4116. 12 indexed citations

Kuo, Hsiang‐Wei, Shengwen Liu, Shih‐Kai Chu, et al.. (2017). Pharmacogenomics study on cadherin 2 network with regard to HIV infection and methadone treatment outcome. PLoS ONE. 12(3). e0174647–e0174647. 3 indexed citations

Chu, Shih‐Kai & Hsin‐Chou Yang. (2017). Interethnic DNA Methylation Difference and Its Implications in Pharmacoepigenetics. Epigenomics. 9(11). 1437–1454. 13 indexed citations

Yang, Hsin‐Chou, Shih‐Kai Chu, Chieh-Liang Huang, et al.. (2016). Genome-Wide Pharmacogenomic Study on Methadone Maintenance Treatment Identifies SNP rs17180299 and Multiple Haplotypes on CYP2B6, SPON1, and GSG1L Associated with Plasma Concentrations of Methadone R- and S-enantiomers in Heroin-Dependent Patients. PLoS Genetics. 12(3). e1005910–e1005910. 42 indexed citations

Hwang, Yi‐Ting, et al.. (2010). Evaluations of FDR-controlling procedures in multiple hypothesis testing. Statistics and Computing. 21(4). 569–583. 7 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.

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