Kun-Hsiang Liu

3.0k total citations · 2 hit papers
16 papers, 2.2k citations indexed

About

Kun-Hsiang Liu is a scholar working on Plant Science, Molecular Biology and Computer Networks and Communications. According to data from OpenAlex, Kun-Hsiang Liu has authored 16 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Plant Science, 5 papers in Molecular Biology and 1 paper in Computer Networks and Communications. Recurrent topics in Kun-Hsiang Liu's work include Plant Molecular Biology Research (13 papers), Plant nutrient uptake and metabolism (12 papers) and Plant Stress Responses and Tolerance (7 papers). Kun-Hsiang Liu is often cited by papers focused on Plant Molecular Biology Research (13 papers), Plant nutrient uptake and metabolism (12 papers) and Plant Stress Responses and Tolerance (7 papers). Kun-Hsiang Liu collaborates with scholars based in United States, China and Taiwan. Kun-Hsiang Liu's co-authors include Yi‐Fang Tsay, Chi-Ying Huang, Jen Sheen, Nien‐Chen Huang, Lie Li, Mineko Konishi, Shuichi Yanagisawa, Yue Wu, Matthew McCormack and Yajie Niu and has published in prestigious journals such as Nature, Science and The EMBO Journal.

In The Last Decade

Kun-Hsiang Liu

16 papers receiving 2.2k citations

Hit Papers

Discovery of nitrate–CPK–NLP signalling in central nutrie... 2017 2026 2020 2023 2017 2022 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Discovery of nitrate–CPK–NLP signalling in central nutrient–growth networks
    2017 462 citations Kun-Hsiang Liu, Yajie Niu et al. Nature profile →
  2. NIN-like protein 7 transcription factor is a plant nitrate sensor
    2022 162 citations Kun-Hsiang Liu, Ziwei Lin et al. Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun-Hsiang Liu United States 13 2.0k 583 222 91 60 16 2.2k
Agnieszka Bielach Belgium 14 2.6k 1.3× 1.4k 2.5× 55 0.2× 90 1.0× 39 0.7× 16 2.7k
Lina Lezhneva Germany 14 901 0.4× 673 1.2× 83 0.4× 28 0.3× 33 0.6× 17 1.3k
Marianne Azzopardi France 12 1.1k 0.6× 629 1.1× 32 0.1× 63 0.7× 56 0.9× 15 1.3k
Chi-Chou Chiu Taiwan 6 681 0.3× 365 0.6× 77 0.3× 34 0.4× 32 0.5× 7 899
Daniela Dietrich United Kingdom 16 1.3k 0.6× 611 1.0× 28 0.1× 31 0.3× 23 0.4× 20 1.5k
Xianzhi Xie China 21 1.5k 0.7× 821 1.4× 24 0.1× 45 0.5× 28 0.5× 56 1.6k
Marie‐Thérèse Leydecker France 9 1.0k 0.5× 450 0.8× 30 0.1× 38 0.4× 89 1.5× 14 1.1k
Youichi Kondou Japan 26 2.2k 1.1× 1.6k 2.7× 16 0.1× 26 0.3× 36 0.6× 41 2.7k
Mina Tanaka Japan 8 1.1k 0.5× 643 1.1× 13 0.1× 50 0.5× 20 0.3× 11 1.2k

Countries citing papers authored by Kun-Hsiang Liu

Since Specialization
Citations

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

Fields of papers citing papers by Kun-Hsiang Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun-Hsiang Liu. 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 Kun-Hsiang Liu. The network helps show where Kun-Hsiang Liu may publish in the future.

Co-authorship network of co-authors of Kun-Hsiang Liu

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

All Works

16 of 16 papers shown
1.
Guo, Ying, Ruiyuan Zhang, Yiming Li, et al.. (2024). ABA-activated low-nanomolar Ca2+–CPK signalling controls root cap cycle plasticity and stress adaptation. Nature Plants. 11(1). 90–104. 8 indexed citations
2.
Liu, Di, et al.. (2024). Pupylation-Based Proximity-Tagging of FERONIA-Interacting Proteins in Arabidopsis. Molecular & Cellular Proteomics. 23(11). 100828–100828. 4 indexed citations
3.
Liu, Kun-Hsiang, Ziwei Lin, Zifu Wang, et al.. (2022). NIN-like protein 7 transcription factor is a plant nitrate sensor. Science. 377(6613). 1419–1425. 162 indexed citations breakdown →
4.
Ye, Ruiqiang, Meiyue Wang, Shweta Chhajed, et al.. (2022). Glucose-driven TOR–FIE–PRC2 signalling controls plant development. Nature. 609(7929). 986–993. 76 indexed citations
5.
Li, Lie, Kun-Hsiang Liu, & Jen Sheen. (2021). Dynamic Nutrient Signaling Networks in Plants. Annual Review of Cell and Developmental Biology. 37(1). 341–367. 96 indexed citations
6.
Liu, Kun-Hsiang, Andrew C. Diener, Ziwei Lin, Cong Liu, & Jen Sheen. (2020). Primary nitrate responses mediated by calcium signalling and diverse protein phosphorylation. Journal of Experimental Botany. 71(15). 4428–4441. 42 indexed citations
7.
Douglas, Gavin M., Janie Y. Zhang, Bernard R. Glick, et al.. (2020). Transcriptomic profiling of Brassica napus responses to Pseudomonas aeruginosa. Innate Immunity. 27(2). 143–157. 7 indexed citations
8.
Liu, Kun-Hsiang, Yajie Niu, Mineko Konishi, et al.. (2017). Discovery of nitrate–CPK–NLP signalling in central nutrient–growth networks. Nature. 545(7654). 311–316. 462 indexed citations breakdown →
9.
Wu, Hung‐Yi, Kun-Hsiang Liu, Jing-Fen Wu, et al.. (2014). AGROBEST: an efficient Agrobacterium-mediated transient expression method for versatile gene function analyses in Arabidopsis seedlings. Plant Methods. 10(1). 19–19. 148 indexed citations
10.
Liu, Kun-Hsiang, Matthew McCormack, & Jen Sheen. (2012). Targeted parallel sequencing of large genetically-defined genomic regions for identifying mutations in Arabidopsis. Plant Methods. 8(1). 12–12. 17 indexed citations
11.
Liu, Kun-Hsiang & Yi‐Fang Tsay. (2003). Switching between the two action modes of the dual-affinity nitrate transporter CHL1 by phosphorylation. The EMBO Journal. 22(5). 1005–1013. 414 indexed citations
12.
Liu, Kun-Hsiang & Tsai-Yun Lin. (2003). Cloning and Characterization of Two Novel Lipid Transfer Protein I Genes inVigna radiata. DNA sequence. 14(6). 420–426. 16 indexed citations
13.
Liu, Kun-Hsiang, Chi‐Ying F. Huang, & Yi‐Fang Tsay. (1999). CHL1 Is a Dual-Affinity Nitrate Transporter of Arabidopsis Involved in Multiple Phases of Nitrate Uptake. The Plant Cell. 11(5). 865–865. 17 indexed citations
14.
15.
Huang, Nien‐Chen, et al.. (1999). Cloning and Functional Characterization of an Arabidopsis Nitrate Transporter Gene That Encodes a Constitutive Component of Low-Affinity Uptake. The Plant Cell. 11(8). 1381–1392. 299 indexed citations
16.
Liu, Kun-Hsiang, Chi-Ying Huang, & Yi‐Fang Tsay. (1999). CHL1 Is a Dual-Affinity Nitrate Transporter of Arabidopsis Involved in Multiple Phases of Nitrate Uptake. The Plant Cell. 11(5). 865–874. 411 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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