Chun-Ping Yu

1.1k total citations
26 papers, 683 citations indexed

About

Chun-Ping Yu is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Chun-Ping Yu has authored 26 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 14 papers in Plant Science and 5 papers in Genetics. Recurrent topics in Chun-Ping Yu's work include Plant Molecular Biology Research (11 papers), Genomics and Chromatin Dynamics (4 papers) and Photosynthetic Processes and Mechanisms (4 papers). Chun-Ping Yu is often cited by papers focused on Plant Molecular Biology Research (11 papers), Genomics and Chromatin Dynamics (4 papers) and Photosynthetic Processes and Mechanisms (4 papers). Chun-Ping Yu collaborates with scholars based in Taiwan, United States and Netherlands. Chun-Ping Yu's co-authors include Wen‐Hsiung Li, Jinn-Jy Lin, Mei‐Yeh Jade Lu, Maurice S. B. Ku, Shin‐Han Shiu, Wen-Yu Liu, Shu‐Hsing Wu, Wen‐Hung Chung, Shun‐Fa Yang and Sean Chun-Chang Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Journal of Experimental Botany.

In The Last Decade

Chun-Ping Yu

26 papers receiving 677 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chun-Ping Yu Taiwan 14 440 341 83 62 41 26 683
Peng Qi China 13 170 0.4× 194 0.6× 86 1.0× 85 1.4× 60 1.5× 26 453
Hao Dong China 17 540 1.2× 117 0.3× 69 0.8× 268 4.3× 52 1.3× 44 773
Tomohiro Akashi Japan 19 743 1.7× 336 1.0× 36 0.4× 38 0.6× 69 1.7× 37 1.0k
Dong Yu China 17 361 0.8× 400 1.2× 143 1.7× 54 0.9× 20 0.5× 42 760
Zenaida V. Magbanua United States 11 516 1.2× 418 1.2× 104 1.3× 149 2.4× 84 2.0× 19 906
Junji Hashimoto Japan 25 1.2k 2.7× 1.1k 3.1× 74 0.9× 37 0.6× 113 2.8× 67 1.7k
Manabu Watanabe Japan 17 503 1.1× 377 1.1× 82 1.0× 35 0.6× 61 1.5× 66 905
Isidoro Feliciello Italy 15 625 1.4× 417 1.2× 180 2.2× 97 1.6× 24 0.6× 34 853
Daniel Garneau Canada 12 624 1.4× 178 0.5× 39 0.5× 118 1.9× 52 1.3× 16 858
Angela Marchbank United Kingdom 14 369 0.8× 277 0.8× 41 0.5× 14 0.2× 58 1.4× 26 661

Countries citing papers authored by Chun-Ping Yu

Since Specialization
Citations

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

Fields of papers citing papers by Chun-Ping Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun-Ping Yu. 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 Chun-Ping Yu. The network helps show where Chun-Ping Yu may publish in the future.

Co-authorship network of co-authors of Chun-Ping Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Chun-Ping Yu. A scholar is included among the top collaborators of Chun-Ping Yu 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 Chun-Ping Yu. Chun-Ping Yu 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.
Yu, Chun-Ping, et al.. (2025). A Review of Machine Learning-Based Thermal Error Modeling Methods for CNC Machine Tools. Machines. 13(2). 153–153. 5 indexed citations
2.
Liu, Wen-Yu, et al.. (2023). C4 leaf development and evolution. Current Opinion in Plant Biology. 76. 102454–102454. 2 indexed citations
3.
Liu, Wen-Yu, Chun-Ping Yu, Mengyun Li, et al.. (2022). Regulators of early maize leaf development inferred from transcriptomes of laser capture microdissection (LCM)-isolated embryonic leaf cells. Proceedings of the National Academy of Sciences. 119(35). e2208795119–e2208795119. 15 indexed citations
4.
Lian, Wei‐Shiung, Re‐Wen Wu, Jih‐Yang Ko, et al.. (2022). Histone H3K27 demethylase UTX compromises articular chondrocyte anabolism and aggravates osteoarthritic degeneration. Cell Death and Disease. 13(6). 538–538. 14 indexed citations
5.
Ko, Swee‐Suak, Yi‐Cheng Ho, Chun-Ping Yu, et al.. (2021). Rice transcription factor GAMYB modulates bHLH142 and is homeostatically regulated by TDR during anther tapetal and pollen development. Journal of Experimental Botany. 72(13). 4888–4903. 29 indexed citations
6.
Liu, Wen-Yu, Hsin-Hung Lin, Chun-Ping Yu, et al.. (2020). Maize ANT1 modulates vascular development, chloroplast development, photosynthesis, and plant growth. Proceedings of the National Academy of Sciences. 117(35). 21747–21756. 26 indexed citations
7.
8.
Chang, Yao‐Ming, Hsin-Hung Lin, Wen-Yu Liu, et al.. (2019). Comparative transcriptomics method to infer gene coexpression networks and its applications to maize and rice leaf transcriptomes. Proceedings of the National Academy of Sciences. 116(8). 3091–3099. 86 indexed citations
9.
Su, Shih‐Chi, Lun‐Ching Chang, Chiao‐Wen Lin, et al.. (2019). Mutational signatures and mutagenic impacts associated with betel quid chewing in oral squamous cell carcinoma. Human Genetics. 138(11-12). 1379–1389. 19 indexed citations
10.
Su, Shih‐Chi, Chiao‐Wen Lin, Yu‐Fan Liu, et al.. (2017). Exome Sequencing of Oral Squamous Cell Carcinoma Reveals Molecular Subgroups and Novel Therapeutic Opportunities. Theranostics. 7(5). 1088–1099. 111 indexed citations
11.
Ke, Huei‐Mien, Anuphap Prachumwat, Chun-Ping Yu, et al.. (2017). Comparative genomics of Vibrio campbellii strains and core species of the Vibrio Harveyi clade. Scientific Reports. 7(1). 41394–41394. 37 indexed citations
12.
Yu, Chun-Ping & Wen‐Hsiung Li. (2017). Predicting Transcription Factor Binding Sites and Their Cognate Transcription Factors Using Gene Expression Data. Methods in molecular biology. 1629. 271–282. 4 indexed citations
13.
Chen, Chih-Kuan, Chun-Ping Yu, Sung‐Chou Li, et al.. (2017). Identification and evolutionary analysis of long non-coding RNAs in zebra finch. BMC Genomics. 18(1). 117–117. 11 indexed citations
14.
Yu, Chun-Ping, Jinn-Jy Lin, & Wen‐Hsiung Li. (2016). Positional distribution of transcription factor binding sites in Arabidopsis thaliana. Scientific Reports. 6(1). 25164–25164. 85 indexed citations
15.
Bhattacharjee, Maloyjo Joyraj, Chun-Ping Yu, Jinn-Jy Lin, et al.. (2016). Regulatory Divergence among Beta-Keratin Genes during Bird Evolution. Molecular Biology and Evolution. 33(11). 2769–2780. 9 indexed citations
16.
Chang, Yao‐Ming, Jinn-Jy Lin, Chun-Ping Yu, et al.. (2016). Insights into the regulation of C4 leaf development from comparative transcriptomic analysis. Current Opinion in Plant Biology. 30. 1–10. 11 indexed citations
17.
Yu, Chun-Ping, Sean Chun-Chang Chen, Wen-Yu Liu, et al.. (2015). Transcriptome dynamics of developing maize leaves and genomewide prediction ofciselements and their cognate transcription factors. Proceedings of the National Academy of Sciences. 112(19). E2477–86. 56 indexed citations
18.
Lin, Jinn-Jy, Chun-Ping Yu, Yao‐Ming Chang, Sean Chun-Chang Chen, & Wen‐Hsiung Li. (2014). Maize and millet transcription factors annotated using comparative genomic and transcriptomic data. BMC Genomics. 15(1). 818–818. 18 indexed citations
19.
Tseng, Chih‐Yuan, et al.. (2010). From laws of inference to protein folding dynamics. Physical Review E. 82(2). 21914–21914. 2 indexed citations
20.

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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