Cheng‐Chieh Wu

880 total citations
9 papers, 174 citations indexed

About

Cheng‐Chieh Wu is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Cheng‐Chieh Wu has authored 9 papers receiving a total of 174 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 6 papers in Genetics and 4 papers in Molecular Biology. Recurrent topics in Cheng‐Chieh Wu's work include Genetic Mapping and Diversity in Plants and Animals (5 papers), GABA and Rice Research (4 papers) and Plant Molecular Biology Research (3 papers). Cheng‐Chieh Wu is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (5 papers), GABA and Rice Research (4 papers) and Plant Molecular Biology Research (3 papers). Cheng‐Chieh Wu collaborates with scholars based in Taiwan, United States and France. Cheng‐Chieh Wu's co-authors include Yue‐Ie Hsing, Fu‐Jin Wei, Ming‐Der Huang, Anthony H. C. Huang, Hshin‐Ping Wu, Yifang Chen, Yu‐Chi Chen, Ming‐Hsin Lai, Hung-ying Lin and Yung‐Fen Huang and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and Molecular Biology and Evolution.

In The Last Decade

Cheng‐Chieh Wu

9 papers receiving 168 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cheng‐Chieh Wu Taiwan 8 135 88 61 20 13 9 174
Satoshi Hatakeyama Japan 9 226 1.7× 75 0.9× 27 0.4× 4 0.2× 11 0.8× 12 281
Than Myint Htun Japan 9 321 2.4× 59 0.7× 209 3.4× 20 1.0× 14 1.1× 16 342
Constantijn B. Mennes Netherlands 7 63 0.5× 122 1.4× 15 0.2× 5 0.3× 7 0.5× 7 175
Elisabeth Wächter Austria 5 72 0.5× 90 1.0× 36 0.6× 6 0.5× 14 198
Rowan Schley United Kingdom 9 68 0.5× 97 1.1× 59 1.0× 2 0.1× 11 0.8× 15 218
M. Lisandra Zepeda United States 2 58 0.4× 32 0.4× 28 0.5× 2 0.1× 7 0.5× 3 94
Jean‐Philippe Doyon France 6 55 0.4× 123 1.4× 76 1.2× 7 0.5× 8 140
Giorgia Chiatante Italy 7 107 0.8× 114 1.3× 74 1.2× 8 0.6× 9 172
Leonardo Gomes de Lima Brazil 6 134 1.0× 94 1.1× 60 1.0× 3 0.2× 9 156
Cristiane Snak Brazil 7 85 0.6× 79 0.9× 17 0.3× 5 0.3× 3 0.2× 27 172

Countries citing papers authored by Cheng‐Chieh Wu

Since Specialization
Citations

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

Fields of papers citing papers by Cheng‐Chieh Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng‐Chieh Wu. 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 Cheng‐Chieh Wu. The network helps show where Cheng‐Chieh Wu may publish in the future.

Co-authorship network of co-authors of Cheng‐Chieh Wu

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

All Works

9 of 9 papers shown
1.
Wu, Cheng‐Chieh, Shuen‐Fang Lo, Lee Mh, et al.. (2024). A newly evolved rice‐specific gene JAUP1 regulates jasmonate biosynthesis and signalling to promote root development and multi‐stress tolerance. Plant Biotechnology Journal. 22(5). 1417–1432. 11 indexed citations
2.
Wu, Dong‐Hong, et al.. (2021). Explore the genetics of weedy traits using rice 3K database. Botanical studies. 62(1). 2–2. 7 indexed citations
3.
Alam, Ornob, Rafał M. Gutaker, Cheng‐Chieh Wu, et al.. (2021). Genome Analysis Traces Regional Dispersal of Rice in Taiwan and Southeast Asia. Molecular Biology and Evolution. 38(11). 4832–4846. 15 indexed citations
4.
Wu, Cheng‐Chieh, et al.. (2020). Studies of rice Hd1 haplotypes worldwide reveal adaptation of flowering time to different environments. PLoS ONE. 15(9). e0239028–e0239028. 20 indexed citations
5.
Sagart, Laurent, Cheng‐Chieh Wu, Yu‐Chi Chen, et al.. (2018). A northern Chinese origin of Austronesian agriculture: new evidence on traditional Formosan cereals. Rice. 11(1). 57–57. 18 indexed citations
6.
Wu, Hshin‐Ping, Fu‐Jin Wei, Cheng‐Chieh Wu, et al.. (2017). Large-scale phenomics analysis of a T-DNA tagged mutant population. GigaScience. 6(8). 1–7. 8 indexed citations
7.
Wei, Fu‐Jin, Hshin‐Ping Wu, Yu‐Chi Chen, et al.. (2015). Both Hd1 and Ehd1 are important for artificial selection of flowering time in cultivated rice. Plant Science. 242. 187–194. 31 indexed citations
8.
Fan, Ming‐Jen, Su‐May Yu, Fu‐Jin Wei, et al.. (2010). Methods for Rice Phenomics Studies. Methods in molecular biology. 678. 129–138. 4 indexed citations
9.
Huang, Ming‐Der, Fu‐Jin Wei, Cheng‐Chieh Wu, Yue‐Ie Hsing, & Anthony H. C. Huang. (2008). Analyses of Advanced Rice Anther Transcriptomes Reveal Global Tapetum Secretory Functions and Potential Proteins for Lipid Exine Formation    . PLANT PHYSIOLOGY. 149(2). 694–707. 60 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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