Pan Liao

2.9k total citations
55 papers, 1.8k citations indexed

About

Pan Liao is a scholar working on Molecular Biology, Plant Science and Biochemistry. According to data from OpenAlex, Pan Liao has authored 55 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 15 papers in Plant Science and 10 papers in Biochemistry. Recurrent topics in Pan Liao's work include Plant biochemistry and biosynthesis (22 papers), Plant Gene Expression Analysis (10 papers) and Lipid metabolism and biosynthesis (9 papers). Pan Liao is often cited by papers focused on Plant biochemistry and biosynthesis (22 papers), Plant Gene Expression Analysis (10 papers) and Lipid metabolism and biosynthesis (9 papers). Pan Liao collaborates with scholars based in China, Hong Kong and United States. Pan Liao's co-authors include Mee‐Len Chye, Guoyin Kai, Thomas J. Bach, Andréa Hemmerlin, Lin Zhang, Jianbo Xiao, Mingfu Wang, Hui Xu, Congcong Zhou and Xiuqin Luo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Pan Liao

50 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pan Liao China 25 1.4k 592 302 246 180 55 1.8k
Choong Je South Korea 21 916 0.7× 643 1.1× 231 0.8× 205 0.8× 67 0.4× 81 1.6k
Motoyoshi Satake Japan 28 1.3k 1.0× 924 1.6× 231 0.8× 340 1.4× 214 1.2× 110 2.2k
Jianhua Qi China 26 893 0.7× 501 0.8× 180 0.6× 429 1.7× 222 1.2× 120 1.9k
Chun-Tao Che United States 22 636 0.5× 466 0.8× 271 0.9× 390 1.6× 94 0.5× 42 1.6k
Anne‐Claire Mitaine‐Offer France 24 1.3k 0.9× 778 1.3× 151 0.5× 91 0.4× 69 0.4× 114 1.8k
Alison D. Pawlus United States 19 861 0.6× 583 1.0× 439 1.5× 153 0.6× 118 0.7× 23 2.1k
Shih‐Chang Chien Taiwan 23 723 0.5× 433 0.7× 150 0.5× 388 1.6× 66 0.4× 62 1.5k
Wonmin Ko South Korea 23 746 0.5× 262 0.4× 129 0.4× 341 1.4× 163 0.9× 59 1.3k
Guanghong Cui China 22 1.8k 1.3× 395 0.7× 536 1.8× 464 1.9× 156 0.9× 95 2.0k
Ui Joung Youn South Korea 24 691 0.5× 414 0.7× 327 1.1× 325 1.3× 60 0.3× 92 1.7k

Countries citing papers authored by Pan Liao

Since Specialization
Citations

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

Fields of papers citing papers by Pan Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pan Liao. 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 Pan Liao. The network helps show where Pan Liao may publish in the future.

Co-authorship network of co-authors of Pan Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Pan Liao. A scholar is included among the top collaborators of Pan Liao 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 Pan Liao. Pan Liao 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.
Wang, Hang, et al.. (2025). Resistance Gene-Guided Discovery of a Fungal Spirotetramate as an Acetolactate Synthase Inhibitor. Journal of the American Chemical Society. 147(45). 42100–42109.
2.
3.
He, Wenxiang, et al.. (2025). Unraveling bitter peptides in wheat protein hydrolysates. Food Chemistry Molecular Sciences. 10. 100263–100263.
4.
Wang, Shuang, Xia Zhang, Qing Huang, et al.. (2025). Sophisticated crosstalk of tryptophan-derived metabolites in plant stress responses. Plant Communications. 6(9). 101425–101425. 1 indexed citations
5.
6.
Chen, Lin & Pan Liao. (2025). Current insights into plant volatile organic compound biosynthesis. Current Opinion in Plant Biology. 85. 102708–102708. 3 indexed citations
7.
He, Chaochao, Runhui Li, Tingting Sun, et al.. (2024). Boosting transcriptional activities by employing repeated activation domains in transcription factors. The Plant Cell. 37(2). 4 indexed citations
8.
Li, Xiaohui, Jinmei Li, Tongtong Li, et al.. (2024). Fully Synthetic TF-Based Self-Adjuvanting Vaccine Simultaneously Triggers iNKT Cells and Mincle and Protects Mice against Tumor Development. Journal of Medicinal Chemistry. 67(19). 17640–17656. 4 indexed citations
9.
Liao, Pan, Itay Maoz, Ji Hee Lee, et al.. (2023). Emission of floral volatiles is facilitated by cell-wall non-specific lipid transfer proteins. Nature Communications. 14(1). 330–330. 24 indexed citations
10.
Zhou, Wei, Can Wang, Xiaolong Hao, et al.. (2023). A chromosome-level genome assembly of anesthetic drug–producing Anisodus acutangulus provides insights into its evolution and the biosynthesis of tropane alkaloids. Plant Communications. 5(1). 100680–100680. 12 indexed citations
11.
Krause, Sandra T., Pan Liao, Christoph Crocoll, et al.. (2021). The biosynthesis of thymol, carvacrol, and thymohydroquinone in Lamiaceae proceeds via cytochrome P450s and a short-chain dehydrogenase. Proceedings of the National Academy of Sciences. 118(52). 85 indexed citations
12.
Fakhri, Sajad, Amin Iranpanah, Mohammad Mehdi Gravandi, et al.. (2021). Natural products attenuate PI3K/Akt/mTOR signaling pathway: A promising strategy in regulating neurodegeneration. Phytomedicine. 91. 153664–153664. 106 indexed citations
13.
Mollica, Adriano, Ina Aneva, Yaping Qi, et al.. (2021). Tribulus terrestris and female reproductive system health: A comprehensive review. Phytomedicine. 84. 153462–153462. 8 indexed citations
14.
Liao, Pan, Andréa Hemmerlin, Thomas J. Bach, & Mee‐Len Chye. (2016). The potential of the mevalonate pathway for enhanced isoprenoid production. Biotechnology Advances. 34(5). 697–713. 229 indexed citations
15.
Liao, Pan, Hui Wang, Andréa Hemmerlin, et al.. (2014). Past achievements, current status and future perspectives of studies on 3-hydroxy-3-methylglutaryl-CoA synthase (HMGS) in the mevalonate (MVA) pathway. Plant Cell Reports. 33(7). 1005–1022. 58 indexed citations
16.
Hsiao, An‐Shan, Richard P. Haslam, Louise V. Michaelson, et al.. (2014). Gene Expression in Plant Lipid Metabolism in Arabidopsis Seedlings. PLoS ONE. 9(9). e107372–e107372. 24 indexed citations
17.
Kai, Guoyin, Liu Yuan-yuan, Xiaoyun Wang, et al.. (2011). Functional identification of hyoscyamine 6β-hydroxylase from Anisodus acutangulus and overproduction of scopolamine in genetically-engineered Escherichia coli. Biotechnology Letters. 33(7). 1361–1365. 15 indexed citations
18.
Kai, Guoyin, Hui Xu, Congcong Zhou, et al.. (2011). Metabolic engineering tanshinone biosynthetic pathway in Salvia miltiorrhiza hairy root cultures. Metabolic Engineering. 13(3). 319–327. 236 indexed citations
19.
Kai, Guoyin, Li Li, Yuxin Jiang, et al.. (2009). Molecular cloning and characterization of two tropinone reductases in Anisodus acutangulus and enhancement of tropane alkaloid production in AaTRI‐transformed hairy roots. Biotechnology and Applied Biochemistry. 54(3). 177–186. 32 indexed citations
20.
Kai, Guoyin, Yan Zhang, Junfeng Chen, et al.. (2008). Molecular characterization and expression analysis of two distinct putrescine N‐methyltransferases from roots of Anisodus acutangulus. Physiologia Plantarum. 135(2). 121–129. 21 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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