Jun‐Ming Liao

1.4k total citations · 1 hit paper
18 papers, 1.0k citations indexed

About

Jun‐Ming Liao is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Jun‐Ming Liao has authored 18 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Jun‐Ming Liao's work include Cancer-related Molecular Pathways (8 papers), RNA modifications and cancer (5 papers) and Trace Elements in Health (3 papers). Jun‐Ming Liao is often cited by papers focused on Cancer-related Molecular Pathways (8 papers), RNA modifications and cancer (5 papers) and Trace Elements in Health (3 papers). Jun‐Ming Liao collaborates with scholars based in United States, China and South Korea. Jun‐Ming Liao's co-authors include Hua Lu, Xiang Zhou, Peng Liao, Wenjuan Liao, Shelya X. Zeng, Yu Zhang, Yi Liang, Qian Hao, Yuling Zhou and Bo Cao and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

In The Last Decade

Jun‐Ming Liao

18 papers receiving 1.0k citations

Hit Papers

align trajectories

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.

Ribosomal proteins: functions beyond the ribosome

2015 488 citations Xiang Zhou, Wenjuan Liao et al. Journal of Molecular Cell Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jun‐Ming Liao United States	14	798	274	183	97	54	18	1.0k
Marko Novinec Slovenia	18	520 0.7×	279 1.0×	258 1.4×	70 0.7×	73 1.4×	42	936
Artem Smirnov Italy	14	576 0.7×	194 0.7×	176 1.0×	92 0.9×	56 1.0×	34	953
Bei Li China	15	482 0.6×	304 1.1×	174 1.0×	99 1.0×	37 0.7×	46	848
Wenhui Zhu China	18	642 0.8×	220 0.8×	110 0.6×	95 1.0×	58 1.1×	48	1.0k
Lu Gao China	19	646 0.8×	200 0.7×	176 1.0×	276 2.8×	66 1.2×	70	1.2k
Monica McAndrews United States	10	397 0.5×	222 0.8×	93 0.5×	116 1.2×	48 0.9×	10	772
Barbara van Loon Switzerland	20	954 1.2×	249 0.9×	208 1.1×	33 0.3×	53 1.0×	41	1.1k
Jinguo Zhang China	19	461 0.6×	228 0.8×	160 0.9×	94 1.0×	21 0.4×	64	881
Vasudevan Seshadri India	17	1.2k 1.5×	191 0.7×	110 0.6×	192 2.0×	60 1.1×	36	1.6k

Countries citing papers authored by Jun‐Ming Liao

Since Specialization

Citations

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

Fields of papers citing papers by Jun‐Ming Liao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun‐Ming Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Jun‐Ming Liao. A scholar is included among the top collaborators of Jun‐Ming 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 Jun‐Ming Liao. Jun‐Ming Liao 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:

18 of 18 papers shown

Hao, Qian, Jiaxiang Chen, Jun‐Ming Liao, et al.. (2021). p53 induces ARTS to promote mitochondrial apoptosis. Cell Death and Disease. 12(2). 204–204. 32 indexed citations

Fang, Ziling, Bo Cao, Jun‐Ming Liao, et al.. (2018). SPIN1 promotes tumorigenesis by blocking the uL18 (universal large ribosomal subunit protein 18)-MDM2-p53 pathway in human cancer. eLife. 7. 40 indexed citations

Liao, Jun‐Ming, Bo Cao, Jun Deng, et al.. (2016). TFIIS.h, a new target of p53, regulates transcription efficiency of pro-apoptotic bax gene. Scientific Reports. 6(1). 23542–23542. 13 indexed citations

Cao, Bo, Kebing Wang, Jun‐Ming Liao, et al.. (2016). Inactivation of oncogenic cAMP-specific phosphodiesterase 4D by miR-139-5p in response to p53 activation. eLife. 5. 34 indexed citations

Jung, Ji Hoon, Jun‐Ming Liao, Qi Zhang, et al.. (2015). Inauhzin(c) Inactivates c-Myc Independently of p53. Cancer Biology & Therapy. 16(3). 412–419. 13 indexed citations

Zhou, Xiang, Wenjuan Liao, Jun‐Ming Liao, Peng Liao, & Hua Lu. (2015). Ribosomal proteins: functions beyond the ribosome. Journal of Molecular Cell Biology. 7(2). 92–104. 488 indexed citations breakdown →

Liao, Jun‐Ming, et al.. (2013). IκB Kinase β (IKKβ) Inhibits p63 Isoform γ (TAp63γ) Transcriptional Activity. Journal of Biological Chemistry. 288(25). 18184–18193. 15 indexed citations

Zhou, Xiang, Qian Hao, Jun‐Ming Liao, Peng Liao, & Hua Lu. (2013). Ribosomal Protein S14 Negatively Regulates c-Myc Activity. Journal of Biological Chemistry. 288(30). 21793–21801. 68 indexed citations

Liao, Jun‐Ming, Xiang Zhou, Yu Zhang, & Hua Lu. (2012). MiR-1246: A new link of the p53 family with cancer and Down syndrome. Cell Cycle. 11(14). 2624–2630. 63 indexed citations

10.

Liao, Jun‐Ming, Shelya X. Zeng, Xiang Zhou, & Hua Lu. (2012). Global Effect of Inauhzin on Human p53-Responsive Transcriptome. PLoS ONE. 7(12). e52172–e52172. 20 indexed citations

11.

Liao, Jun‐Ming & Hua Lu. (2012). ChIP for Identification of p53 Responsive DNA Promoters. Methods in molecular biology. 962. 201–210. 12 indexed citations

12.

Liao, Jun‐Ming & Hua Lu. (2011). Autoregulatory Suppression of c-Myc by miR-185-3p. Journal of Biological Chemistry. 286(39). 33901–33909. 49 indexed citations

13.

Zhou, Zheng, Jun‐Ming Liao, Peng Zhang, et al.. (2011). Parkinson disease drug screening based on the interaction between D2 dopamine receptor and beta-arrestin 2 detected by capillary zone electrophoresis. Protein & Cell. 2(11). 899–905. 2 indexed citations

14.

Xu, Lirong, et al.. (2011). Both the C-Terminal Polylysine Region and the Farnesylation of K-RasB Are Important for Its Specific Interaction with Calmodulin. PLoS ONE. 6(7). e21929–e21929. 33 indexed citations

15.

Zhang, Yu, Jun‐Ming Liao, Shelya X. Zeng, & Hua Lu. (2011). p53 downregulates Down syndrome‐associated DYRK1A through miR‐1246. EMBO Reports. 12(8). 811–817. 115 indexed citations

16.

Liao, Jun‐Ming, et al.. (2008). Binding of calcium ions to Ras promotes Ras guanine nucleotide exchange under emulated physiological conditions. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1784(11). 1560–1569. 6 indexed citations

17.

Zhou, Yuling, Jun‐Ming Liao, Jie Chen, & Yi Liang. (2006). Macromolecular crowding enhances the binding of superoxide dismutase to xanthine oxidase: Implications for protein–protein interactions in intracellular environments. The International Journal of Biochemistry & Cell Biology. 38(11). 1986–1994. 31 indexed citations

18.

Zhou, Yuling, Jun‐Ming Liao, Fen Du, & Yi Liang. (2004). Thermodynamics of the interaction of xanthine oxidase with superoxide dismutase studied by isothermal titration calorimetry and fluorescence spectroscopy. Thermochimica Acta. 426(1-2). 173–178. 15 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