Kun-Hsiang Liu

3.0k citations
16 papers · 2.2k indexed · 2 hit papers · h-index 13
Topics
Plant Molecular Biology Research (13 papers)Plant nutrient uptake and metabolism (12 papers)Plant Stress Responses and Tolerance (7 papers)
Partner nations
United StatesChinaTaiwan

In The Last Decade

Kun-Hsiang Liu

16 papers receiving 2.2k citations

Hit Papers

Discovery of nitrate–CPK–NLP signalling in central nutrie...201720262020202320172022100200300400

Peers

Kun-Hsiang Liu
Comparison fields: 5 of 67
  • Plant Science 2.0k
  • Molecular Biology 583
  • Computer Networks and Communications 222
  • Agronomy and Crop Science 91
  • Food Science 60
Replace Agnieszka Bielach with:
Agnieszka Bielach Belgium
Xianzhi Xie China
Lina Lezhneva Germany
Chi-Chou Chiu Taiwan
Marianne Azzopardi France
Youichi Kondou Japan
Daniela Dietrich United Kingdom
Marie‐Thérèse Leydecker France
Edith Laugier France
Yunrong Wu China
Kun-Hsiang Liu relative to Agnieszka Bielach Belgium Agnieszka Bielach's profile →
Citations per field
00.5×
Agnieszka Bielach · 1×
Citations per year

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
#WorkIndexed citations
1 8
2 4
3
NIN-like protein 7 transcription factor is a plant nitrate sensorbreakdown →
162
4 76
5 96
6 42
7 7
8
Discovery of nitrate–CPK–NLP signalling in central nutrient–growth networksbreakdown →
462
9 148
10 17
11 414
12 16
13 17
14 12
15 299
16 411

About Kun-Hsiang Liu

Kun-Hsiang Liu is a scholar working on Plant Science, Biotechnology and Molecular Biology, having authored 16 papers that have together received 2.2k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (13 papers), Plant nutrient uptake and metabolism (12 papers) and Plant Stress Responses and Tolerance (7 papers). The work is most often cited by research in Plant Science (2.0k citations), Computer Networks and Communications (222 citations) and Agronomy and Crop Science (91 citations). Kun-Hsiang Liu has collaborated with scholars based in United States, China and Taiwan. Frequent 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. Their work appears in journals such as Nature, Science and The EMBO Journal.

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

Rankless by CCL
2026