Chia-Cheng Kan

636 total citations
10 papers, 438 citations indexed

About

Chia-Cheng Kan is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Chia-Cheng Kan has authored 10 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Plant Science, 2 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in Chia-Cheng Kan's work include Plant nutrient uptake and metabolism (4 papers), Phytoplasmas and Hemiptera pathogens (3 papers) and Legume Nitrogen Fixing Symbiosis (3 papers). Chia-Cheng Kan is often cited by papers focused on Plant nutrient uptake and metabolism (4 papers), Phytoplasmas and Hemiptera pathogens (3 papers) and Legume Nitrogen Fixing Symbiosis (3 papers). Chia-Cheng Kan collaborates with scholars based in Taiwan, United States and China. Chia-Cheng Kan's co-authors include Ming‐Hsiun Hsieh, Ping‐Han Hsieh, Haiyan Jia, Liuling Yan, Carol Powers, Brett F. Carver, Jizhong Wu, R. Nagarajan, Wei Hua and Zhiyong Liu and has published in prestigious journals such as Science, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Chia-Cheng Kan

10 papers receiving 434 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chia-Cheng Kan Taiwan	7	399	99	74	36	15	10	438
Christophe Liseron-Monfils United States	6	381 1.0×	191 1.9×	77 1.0×	31 0.9×	10 0.7×	7	455
Shenglong Yang China	11	443 1.1×	106 1.1×	114 1.5×	23 0.6×	15 1.0×	23	499
Céline Richard‐Molard France	11	337 0.8×	117 1.2×	23 0.3×	34 0.9×	26 1.7×	18	394
J. L. Araus Ortega United States	15	413 1.0×	133 1.3×	38 0.5×	66 1.8×	21 1.4×	19	449
Guanjun Liu China	12	348 0.9×	163 1.6×	17 0.2×	28 0.8×	10 0.7×	34	422
Tirthankar Bandyopadhyay India	10	324 0.8×	70 0.7×	84 1.1×	44 1.2×	19 1.3×	17	400
Hongzhen Jiang China	16	717 1.8×	220 2.2×	211 2.9×	32 0.9×	17 1.1×	28	797
Xuehui Yao China	10	325 0.8×	94 0.9×	33 0.4×	17 0.5×	8 0.5×	15	355
Haina Song China	11	462 1.2×	170 1.7×	51 0.7×	27 0.8×	8 0.5×	14	515
Caroline Cukier France	9	313 0.8×	86 0.9×	12 0.2×	31 0.9×	21 1.4×	16	354

Countries citing papers authored by Chia-Cheng Kan

Since Specialization

Citations

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

Fields of papers citing papers by Chia-Cheng Kan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia-Cheng Kan. 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 Chia-Cheng Kan. The network helps show where Chia-Cheng Kan may publish in the future.

Co-authorship network of co-authors of Chia-Cheng Kan

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

Lévy, Julien, et al.. (2023). A ‘Candidatus Liberibacter solanacearum’ Haplotype B-Specific Family of Candidate Bacterial Effectors. Phytopathology. 113(9). 1708–1715. 2 indexed citations

Jia, Haiyan, Tian Li, Jizhong Wu, et al.. (2022). TaCol-B5 modifies spike architecture and enhances grain yield in wheat. Science. 376(6589). 180–183. 96 indexed citations

Lévy, Julien, et al.. (2022). CLIBASIA_00460 Disrupts Hypersensitive Response and Interacts with Citrus Rad23 Proteins. International Journal of Molecular Sciences. 23(14). 7846–7846. 6 indexed citations

Kan, Chia-Cheng, et al.. (2021). HPE1, an Effector from Zebra Chip Pathogen Interacts with Tomato Proteins and Perturbs Ubiquitinated Protein Accumulation. International Journal of Molecular Sciences. 22(16). 9003–9003. 5 indexed citations

Kan, Chia-Cheng, Haiyan Jia, Carol Powers, Brett F. Carver, & Liuling Yan. (2020). Genetic characterization and deployment of a major gene for grain yield on chromosome arm 1BS in winter wheat. Molecular Breeding. 40(3). 8 indexed citations

Hsieh, Ping‐Han, et al.. (2018). Early molecular events associated with nitrogen deficiency in rice seedling roots. Scientific Reports. 8(1). 12207–12207. 87 indexed citations

Kan, Chia-Cheng, et al.. (2017). Identification of early ammonium nitrate-responsive genes in rice roots. Scientific Reports. 7(1). 16885–16885. 36 indexed citations

Kan, Chia-Cheng, et al.. (2017). Exogenous glutamate rapidly induces the expression of genes involved in metabolism and defense responses in rice roots. BMC Genomics. 18(1). 186–186. 93 indexed citations

Kan, Chia-Cheng, et al.. (2015). Glutamine rapidly induces the expression of key transcription factor genes involved in nitrogen and stress responses in rice roots. BMC Genomics. 16(1). 731–731. 101 indexed citations

10.

Kan, Chia-Cheng, et al.. (2015). Gene expression profiling of rice seedlings in response to glutamine treatment. Genomics Data. 6. 123–124. 4 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.

Explore authors with similar magnitude of impact