Tzu‐Ming Chu

2.7k total citations
21 papers, 1.5k citations indexed

About

Tzu‐Ming Chu is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Cancer Research. According to data from OpenAlex, Tzu‐Ming Chu has authored 21 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Health, Toxicology and Mutagenesis and 5 papers in Cancer Research. Recurrent topics in Tzu‐Ming Chu's work include Gene expression and cancer classification (10 papers), Effects and risks of endocrine disrupting chemicals (5 papers) and Molecular Biology Techniques and Applications (5 papers). Tzu‐Ming Chu is often cited by papers focused on Gene expression and cancer classification (10 papers), Effects and risks of endocrine disrupting chemicals (5 papers) and Molecular Biology Techniques and Applications (5 papers). Tzu‐Ming Chu collaborates with scholars based in United States, China and Norway. Tzu‐Ming Chu's co-authors include Russell D. Wolfinger, José Trinidad Ascencio‐Ibáñez, Tae-Jin Lee, Rino Cella, Rosangela Sozzani, Linda Hanley‐Bowdoin, Wenjun Bao, Greg Gibson, Russell S. Thomas and Wen‐Ping Hsieh and has published in prestigious journals such as Nature Biotechnology, Bioinformatics and PLANT PHYSIOLOGY.

In The Last Decade

Tzu‐Ming Chu

20 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tzu‐Ming Chu United States 13 766 521 177 169 154 21 1.5k
Catherine Willett United States 21 871 1.1× 254 0.5× 102 0.6× 115 0.7× 292 1.9× 42 2.1k
Frank Boellmann United States 9 966 1.3× 67 0.1× 87 0.5× 49 0.3× 151 1.0× 11 1.3k
Daniel Barrell United Kingdom 12 1.6k 2.1× 255 0.5× 108 0.6× 230 1.4× 16 0.1× 14 2.1k
John A. Dawson United States 12 887 1.2× 224 0.4× 199 1.1× 124 0.7× 31 0.2× 20 1.4k
Michael P. Walker United States 24 751 1.0× 62 0.1× 183 1.0× 206 1.2× 231 1.5× 54 1.6k
Rasmus Wernersson Denmark 15 1.1k 1.5× 204 0.4× 110 0.6× 264 1.6× 13 0.1× 27 1.6k
Evelyn Camon United Kingdom 16 1.5k 1.9× 211 0.4× 84 0.5× 175 1.0× 17 0.1× 19 2.0k
Caroline Jolly France 21 2.0k 2.6× 631 1.2× 180 1.0× 124 0.7× 26 0.2× 30 2.6k
Avrom J. Caplan United States 29 2.6k 3.4× 135 0.3× 68 0.4× 243 1.4× 28 0.2× 44 3.0k
Gordon W. Robinson United States 17 890 1.2× 132 0.3× 60 0.3× 102 0.6× 12 0.1× 22 1.1k

Countries citing papers authored by Tzu‐Ming Chu

Since Specialization
Citations

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

Fields of papers citing papers by Tzu‐Ming Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tzu‐Ming Chu

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

All Works

20 of 20 papers shown
1.
Wang, Chen, et al.. (2023). The Development of SpCas9 Variants with High Specificity and Efficiency Based on the HH Theory. Molecular Biology. 58(1). 133–146. 2 indexed citations
2.
Black, Michael B., Linda Pluta, Tzu‐Ming Chu, et al.. (2013). Comparison of Microarrays and RNA-Seq for Gene Expression Analyses of Dose-Response Experiments. Toxicological Sciences. 137(2). 385–403. 43 indexed citations
3.
Wetmore, Barbara A., John F. Wambaugh, Stephen Ferguson, et al.. (2013). Relative Impact of Incorporating Pharmacokinetics on Predicting In Vivo Hazard and Mode of Action from High-Throughput In Vitro Toxicity Assays. Toxicological Sciences. 132(2). 327–346. 97 indexed citations
4.
Thomas, Russell S., Michael B. Black, Lili Li, et al.. (2012). A Comprehensive Statistical Analysis of Predicting In Vivo Hazard Using High-Throughput In Vitro Screening. Toxicological Sciences. 128(2). 398–417. 112 indexed citations
5.
Thomas, Russell S., Michael B. Black, Lili Li, et al.. (2012). Response to “Incorporating Biological, Chemical, and Toxicological Knowledge Into Predictive Models of Toxicity”. Toxicological Sciences. 130(2). 442–443. 3 indexed citations
6.
Hsieh, Wen‐Ping, Tzu‐Ming Chu, Yu‐Min Lin, & Russell D. Wolfinger. (2011). Kernel density weighted loess normalization improves the performance of detection within asymmetrical data. BMC Bioinformatics. 12(1). 222–222. 5 indexed citations
7.
Thomas, Russell S., Wenjun Bao, Tzu‐Ming Chu, et al.. (2009). Use of Short-term Transcriptional Profiles to Assess the Long-term Cancer-Related Safety of Environmental and Industrial Chemicals. Toxicological Sciences. 112(2). 311–321. 30 indexed citations
8.
Ascencio‐Ibáñez, José Trinidad, Rosangela Sozzani, Tae-Jin Lee, et al.. (2008). Global Analysis of Arabidopsis Gene Expression Uncovers a Complex Array of Changes Impacting Pathogen Response and Cell Cycle during Geminivirus Infection  . PLANT PHYSIOLOGY. 148(1). 436–454. 434 indexed citations
9.
Chu, Tzu‐Ming, et al.. (2007). Effective Use of Microarrays in Neuroendocrine Research. Journal of Neuroendocrinology. 19(3). 145–161. 4 indexed citations
10.
Adomas, Aleksandra, Gregory Heller, Guosheng Li, et al.. (2007). Transcript profiling of a conifer pathosystem: response of Pinus sylvestris root tissues to pathogen (Heterobasidion annosum) invasion. Tree Physiology. 27(10). 1441–1458. 57 indexed citations
11.
Perkins, Edward J., Wenjun Bao, Xin‐Yuan Guan, et al.. (2006). Comparison of transcriptional responses in liver tissue and primary hepatocyte cell cultures after exposure to hexahydro-1, 3, 5-trinitro-1, 3, 5-triazine. BMC Bioinformatics. 7(S4). S22–S22. 42 indexed citations
12.
Tong, Weida, Anne Bergstrom Lucas, Richard Shippy, et al.. (2006). Evaluation of external RNA controls for the assessment of microarray performance. Nature Biotechnology. 24(9). 1132–1139. 69 indexed citations
13.
Patterson, Tucker A., Edward K. Lobenhofer, Stephanie Fulmer-Smentek, et al.. (2006). Performance comparison of one-color and two-color platforms within the Microarray Quality Control (MAQC) project. Nature Biotechnology. 24(9). 1140–1150. 368 indexed citations
14.
Perkins, Edward J., Wenjun Bao, Xin‐Yuan Guan, et al.. (2006). Comparison of Gene Expression Effects in Liver Tissue and Primary Hepatocyte Cell Cultures After Exposure to Hexahydro-1, 3, 5Trinitro-1, 3, 5-Triazine. 14. 164–170. 2 indexed citations
15.
Yu, Xiang, Tzu‐Ming Chu, Greg Gibson, & Russell D. Wolfinger. (2004). A Mixed Model Approach to Identify Yeast Transcriptional Regulatory Motifs via Microarray Experiments. Statistical Applications in Genetics and Molecular Biology. 3(1). 1–20. 8 indexed citations
16.
Chu, Tzu‐Ming, Shibing Deng, Russ Wolfinger, Richard S. Paules, & Hisham K. Hamadeh. (2004). Cross-site comparison of gene expression data reveals high similarity.. Environmental Health Perspectives. 112(4). 449–455. 33 indexed citations
17.
Chu, Tzu‐Ming, Shibing Deng, Russ Wolfinger, Richard S. Paules, & Hisham K. Hamadeh. (2004). Cross-Site Comparison of Gene Expression Data Reveals High Similarity. Environmental Health Perspectives.
18.
Chu, Tzu‐Ming, B. S. Weir, & Russell D. Wolfinger. (2004). Comparison of Li–Wong and loglinear mixed models for the statistical analysis of oligonucleotide arrays. Bioinformatics. 20(4). 500–506. 14 indexed citations
19.
Critchley, Lester A. H., et al.. (2003). Pre‐operative hepatitis in a woman treated with Chinese medicines. Anaesthesia. 58(11). 1096–1100. 5 indexed citations
20.
Hsieh, Wen‐Ping, Tzu‐Ming Chu, Russell D. Wolfinger, & Greg Gibson. (2003). Mixed-Model Reanalysis of Primate Data Suggests Tissue and Species Biases in Oligonucleotide-Based Gene Expression Profiles. Genetics. 165(2). 747–757. 115 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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