Yu‐Chiao Chiu

2.6k total citations
65 papers, 1.5k citations indexed

About

Yu‐Chiao Chiu is a scholar working on Molecular Biology, Cancer Research and Hematology. According to data from OpenAlex, Yu‐Chiao Chiu has authored 65 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 20 papers in Cancer Research and 11 papers in Hematology. Recurrent topics in Yu‐Chiao Chiu's work include Bioinformatics and Genomic Networks (17 papers), Gene expression and cancer classification (13 papers) and Acute Myeloid Leukemia Research (10 papers). Yu‐Chiao Chiu is often cited by papers focused on Bioinformatics and Genomic Networks (17 papers), Gene expression and cancer classification (13 papers) and Acute Myeloid Leukemia Research (10 papers). Yu‐Chiao Chiu collaborates with scholars based in United States, Taiwan and China. Yu‐Chiao Chiu's co-authors include Yidong Chen, Yufei Huang, Eric Y. Chuang, Milad Mostavi, Mong‐Hsun Tsai, Liang‐Chuan Lai, Tzu‐Pin Lu, Chien‐Yueh Lee, Chuhsing Kate Hsiao and Hung-I Harry Chen and has published in prestigious journals such as Nature Communications, Blood and PLoS ONE.

In The Last Decade

Yu‐Chiao Chiu

62 papers receiving 1.5k citations

Peers

Countries citing papers authored by Yu‐Chiao Chiu

Since Specialization

Citations

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

Fields of papers citing papers by Yu‐Chiao Chiu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Chiao Chiu. 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 Yu‐Chiao Chiu. The network helps show where Yu‐Chiao Chiu may publish in the future.

Co-authorship network of co-authors of Yu‐Chiao Chiu

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Predicting and interpreting protein and phosphoprotein abundance from pan-cancer and single-cell transcriptomes 2026 ·iScience ·(unknown), (unknown), Yu‐Chiao Chiu, (unknown), (unknown), (unknown)	1
2	Inferring Drug–Gene Relationships in Cancer Using Literature-Augmented Large Language Models 2025 ·Cancer Research Communications ·(unknown), (unknown), Tyler M. Yasaka, Yun‐A Shin, (unknown), (unknown), (unknown), Yibing Guo, Po-Yuan Chen, (unknown), (unknown), Arun Das, George C. Tseng, Satdarshan P. Monga, Yufei Huang, Yu‐Chiao Chiu	0
3	Systems approach for congruence and selection of cancer models towards precision medicine 2024 ·PLoS Computational Biology ·Jian Zou, (unknown), Yu‐Chiao Chiu, Tianzhou Ma, Jennifer M. Atkinson, (unknown), Adrian V. Lee, George C. Tseng	3
4	ReguloGPT: Harnessing GPT for End-to-End Knowledge Graph Construction of Molecular Regulatory Pathways 2024 ·(unknown), Sumin Jo, Yiming Zeng, Arun Das, Tinghe Zhang, Parth Patel, (unknown), Lei Li, Shou‐Jiang Gao, (unknown), Dexter Pratt, Yu‐Chiao Chiu, Yufei Huang	0
5	Predicting drug response through tumor deconvolution by cancer cell lines 2024 ·Patterns ·Yu-Ching Hsu, Yu‐Chiao Chiu, Tzu‐Pin Lu, Tzu‐Hung Hsiao, (unknown)	4
6	shinyDeepDR: A user-friendly R Shiny app for predicting anti-cancer drug response using deep learning 2024 ·Patterns ·Li‐Ju Wang, (unknown), (unknown), (unknown), Satdarshan P. Monga, Yufei Huang, Yidong Chen, Yu‐Chiao Chiu	4
7	CancerSiamese: one-shot learning for predicting primary and metastatic tumor types unseen during model training 2021 ·BMC Bioinformatics ·Milad Mostavi, Yu‐Chiao Chiu, Yidong Chen, Yufei Huang	12
8	Knock-out of Hopx disrupts stemness and quiescence of hematopoietic stem cells in mice 2020 ·Oncogene ·Chien‐Chin Lin, Chi‐Yuan Yao, (unknown), Hsin‐An Hou, Chang‐Tsu Yuan, (unknown), (unknown), (unknown), Yu‐Chiao Chiu, Yidong Chen, Wen‐Chien Chou, Hwei‐Fang Tien	16
9	Convolutional neural network models for cancer type prediction based on gene expression 2020 ·BMC Medical Genomics ·Milad Mostavi, Yu‐Chiao Chiu, Yufei Huang, Yidong Chen	147
10	Incorporation of long non-coding RNA expression profile in the 2017 ELN risk classification can improve prognostic prediction of acute myeloid leukemia patients 2019 ·EBioMedicine ·Cheng‐Hong Tsai, Chi‐Yuan Yao, (unknown), Jih‐Luh Tang, Yuan‐Yeh Kuo, Yu‐Chiao Chiu, Chien‐Chin Lin, Mei‐Hsuan Tseng, Yen‐Ling Peng, Ming-Chih Liu, Chia‐Wen Liu, Ming Yao, Liang‐In Lin, Wen‐Chien Chou, Chien‐Yu Chen, Hsin‐An Hou, Hwei‐Fang Tien	26
11	Predicting drug response of tumors from integrated genomic profiles by deep neural networks 2019 ·BMC Medical Genomics ·Yu‐Chiao Chiu, Hung-I Harry Chen, Tinghe Zhang, Songyao Zhang, Aparna Gorthi, Li‐Ju Wang, Yufei Huang, Yidong Chen	145
12	The prognostic significance of global aberrant alternative splicing in patients with myelodysplastic syndrome 2018 ·Blood Cancer Journal ·(unknown), Yu‐Chiao Chiu, (unknown), Hsin‐An Hou, Chien‐Chin Lin, Cheng‐Hong Tsai, Mei‐Hsuan Tseng, Wen‐Chien Chou, Hwei‐Fang Tien	20
13	GSAE: an autoencoder with embedded gene-set nodes for genomics functional characterization 2018 ·BMC Systems Biology ·Hung-I Harry Chen, Yu‐Chiao Chiu, Tinghe Zhang, Songyao Zhang, Yufei Huang, Yidong Chen	34
14	scdNet: a computational tool for single-cell differential network analysis 2018 ·BMC Systems Biology ·Yu‐Chiao Chiu, Tzu-Hung Hsiao, Li‐Ju Wang, Yidong Chen, Yu‐Hsuan Joni Shao	9
15	Higher HOPX expression is associated with distinct clinical and biological features and predicts poor prognosis in de novo acute myeloid leukemia 2017 ·Haematologica ·Chien‐Chin Lin, (unknown), (unknown), Yuan‐Yeh Kuo, Hsin‐An Hou, Keng‐Hsin Lan, (unknown), Yi-Shiuan Tzeng, (unknown), (unknown), (unknown), Mei‐Hsuan Tseng, Yu‐Chiao Chiu, Wen‐Chien Chou, Hwei‐Fang Tien	35
16	Differential correlation analysis of glioblastoma reveals immune ceRNA interactions predictive of patient survival 2017 ·BMC Bioinformatics ·Yu‐Chiao Chiu, Li‐Ju Wang, Tzu‐Pin Lu, Tzu-Hung Hsiao, Eric Y. Chuang, Yidong Chen	14
17	Applying gene set analysis to characterize the activities of immune cells in estrogen receptor positive breast cancer 2016 ·Translational Cancer Research ·(unknown), Yu‐Chiao Chiu, Yu-Ching Hsu, (unknown), Eric Y. Chuang, Tzu‐Hung Hsiao	2
18	Common applications of next-generation sequencing technologies in genomic research 2013 ·Translational Cancer Research ·Chien‐Yueh Lee, Yu‐Chiao Chiu, Liang-Bo Wang, (unknown), Eric Y. Chuang, Liang‐Chuan Lai, Mong‐Hsun Tsai	26
19	A Knock-In Npm1 Mutation in Mice Results in Myeloproliferation and Implies a Perturbation in Hematopoietic Microenvironment 2012 ·PLoS ONE ·Shiu-Huey Chou, Bor‐Sheng Ko, (unknown), (unknown), Mong‐Hsun Tsai, Yu‐Chiao Chiu, I‐Shing Yu, Shu‐Wha Lin, Hsin‐An Hou, (unknown), Hsiu‐Mei Lin, Ming‐Fang Wu, Wen‐Chien Chou, Hwei‐Fang Tien	19
20	Identification of genes differentially expressed during the growth of Bambusa oldhamii 2012 ·Plant Physiology and Biochemistry ·(unknown), (unknown), (unknown), Mong‐Hsun Tsai, (unknown), (unknown), Chien‐Chih Yang, (unknown), Yu‐Chiao Chiu, Aiyu Wang	4

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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