Guiliang Tang

9.6k total citations · 4 hit papers
110 papers, 7.2k citations indexed

About

Guiliang Tang is a scholar working on Plant Science, Molecular Biology and Cancer Research. According to data from OpenAlex, Guiliang Tang has authored 110 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Plant Science, 65 papers in Molecular Biology and 17 papers in Cancer Research. Recurrent topics in Guiliang Tang's work include Plant Molecular Biology Research (56 papers), Plant Stress Responses and Tolerance (22 papers) and Plant nutrient uptake and metabolism (19 papers). Guiliang Tang is often cited by papers focused on Plant Molecular Biology Research (56 papers), Plant Stress Responses and Tolerance (22 papers) and Plant nutrient uptake and metabolism (19 papers). Guiliang Tang collaborates with scholars based in United States, China and Israel. Guiliang Tang's co-authors include Phillip D. Zamore, David P. Bartel, Brenda J. Reinhart, Xiaoqing Tang, Sachin Teotia, Wang‐Xia Wang, Jun Yan, Xiaoyun Jia, Sabire Özcan and Arnold J. Stromberg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Guiliang Tang

105 papers receiving 7.1k citations

Hit Papers

A biochemical framework for RNA silencing in plants 2003 2026 2010 2018 2003 2008 2004 2012 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guiliang Tang United States 39 4.6k 4.4k 1.6k 272 262 110 7.2k
Zhihong Zhang China 38 3.1k 0.7× 4.2k 0.9× 545 0.3× 325 1.2× 205 0.8× 178 6.4k
Yun Zheng China 36 2.2k 0.5× 2.8k 0.6× 753 0.5× 381 1.4× 79 0.3× 141 4.7k
Shizhong Zhang China 34 1.5k 0.3× 2.2k 0.5× 549 0.3× 117 0.4× 127 0.5× 151 3.8k
Seiji Takayama Japan 48 5.9k 1.3× 6.5k 1.5× 358 0.2× 405 1.5× 135 0.5× 194 8.7k
Ning Wei China 58 6.0k 1.3× 8.6k 1.9× 674 0.4× 372 1.4× 178 0.7× 186 11.3k
Jianming Li China 31 1.4k 0.3× 3.0k 0.7× 713 0.4× 177 0.7× 86 0.3× 121 4.3k
Xiaoxiao Zhang China 27 721 0.2× 1.9k 0.4× 819 0.5× 231 0.8× 130 0.5× 109 3.2k
Michael D. Blower United States 25 1.6k 0.3× 3.3k 0.8× 256 0.2× 342 1.3× 130 0.5× 40 4.2k
Yiyue Zhang China 27 2.3k 0.5× 2.4k 0.5× 213 0.1× 138 0.5× 98 0.4× 111 4.1k
Utpal Bhadra India 27 1.1k 0.2× 2.8k 0.6× 606 0.4× 544 2.0× 119 0.5× 75 3.5k

Countries citing papers authored by Guiliang Tang

Since Specialization
Citations

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

Fields of papers citing papers by Guiliang Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guiliang Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Guiliang Tang. A scholar is included among the top collaborators of Guiliang Tang 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 Guiliang Tang. Guiliang Tang 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.
Li, Jie, et al.. (2023). The miR165/166–PHABULOSA module promotes thermotolerance by transcriptionally and posttranslationally regulating HSFA1. The Plant Cell. 35(8). 2952–2971. 38 indexed citations
2.
Teotia, Sachin, Xiaoran Wang, Na Zhou, et al.. (2023). A high‐efficiency gene silencing in plants using two‐hit asymmetrical artificial MicroRNAs. Plant Biotechnology Journal. 21(9). 1799–1811. 13 indexed citations
3.
Xu, Chi, Zhan‐Hui Zhang, Juan He, et al.. (2023). The DEAD‐box helicase RCF1 plays roles in miRNA biogenesis and RNA splicing in Arabidopsis. The Plant Journal. 116(1). 144–160. 5 indexed citations
4.
Li, Hongxue, Shouwen Wang, Lulu Zhai, et al.. (2023). The miR156/SPL12 module orchestrates fruit colour change through directly regulating ethylene production pathway in blueberry. Plant Biotechnology Journal. 22(2). 386–400. 27 indexed citations
5.
Sun, Wenjie, Shuying Li, Guiliang Tang, et al.. (2021). HHLA2 deficiency inhibits non‐small cell lung cancer progression and THP‐1 macrophage M2 polarization. Cancer Medicine. 10(15). 5256–5269. 36 indexed citations
6.
Peng, Shan, Yingming Sun, Yuan Luo, et al.. (2020). MFP-FePt-GO Nanocomposites Promote Radiosensitivity of Non-Small Cell Lung Cancer Via Activating Mitochondrial-Mediated Apoptosis and Impairing DNA Damage Repair. International Journal of Biological Sciences. 16(12). 2145–2158. 14 indexed citations
7.
Yang, Tianxiao, Yongyan Wang, Sachin Teotia, et al.. (2019). The interaction between miR160 and miR165/166 in the control of leaf development and drought tolerance in Arabidopsis. Scientific Reports. 9(1). 2832–2832. 90 indexed citations
8.
Zhu, Zhirong, et al.. (2018). Aggressive angiomyxoma of the prostate. Medicine. 97(51). e13716–e13716. 2 indexed citations
9.
Zhang, Hui, Jinshan Zhang, Jun Yan, et al.. (2017). Short tandem target mimic rice lines uncover functions of miRNAs in regulating important agronomic traits. Proceedings of the National Academy of Sciences. 114(20). 5277–5282. 120 indexed citations
11.
Tian, Bin, Shichen Wang, T. C. Todd, et al.. (2017). Genome-wide identification of soybean microRNA responsive to soybean cyst nematodes infection by deep sequencing. BMC Genomics. 18(1). 572–572. 54 indexed citations
12.
Yan, Jun, Chunzhao Zhao, Jianping Zhou, et al.. (2016). The miR165/166 Mediated Regulatory Module Plays Critical Roles in ABA Homeostasis and Response in Arabidopsis thaliana. PLoS Genetics. 12(11). e1006416–e1006416. 103 indexed citations
13.
Zhang, Zhan‐Hui, Xiangyuan Wu, Chaonan Shi, et al.. (2015). Genetic dissection of the maize kernel development process via conditional QTL mapping for three developing kernel-related traits in an immortalized F2 population. Molecular Genetics and Genomics. 291(1). 437–454. 12 indexed citations
14.
Yan, Jun, Yiyou Gu, Xiaoyun Jia, et al.. (2012). Effective Small RNA Destruction by the Expression of a Short Tandem Target Mimic in Arabidopsis. The Plant Cell. 24(2). 415–427. 340 indexed citations breakdown →
15.
Lewis, Ricky W., Guiliang Tang, & David H. McNear. (2012). Morphological and genetic changes induced by excess Zn in roots of Medicago truncatula A17 and a Zn accumulating mutant. BMC Research Notes. 5(1). 657–657. 2 indexed citations
16.
Jia, Xiaoyun, et al.. (2012). microRNAs responsive to ozone-induced oxidative stress in Arabidopsis thaliana. Plant Signaling & Behavior. 7(4). 484–491. 28 indexed citations
17.
Jia, Xiaoyun, Venugopal Mendu, & Guiliang Tang. (2010). An Array Platform for Identification of Stress-Responsive MicroRNAs in Plants. Methods in molecular biology. 639. 253–269. 14 indexed citations
18.
19.
Tang, Guiliang, Xiaohu Tang, Venugopal Mendu, et al.. (2008). The art of microRNA: Various strategies leading to gene silencing via an ancient pathway. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1779(11). 655–662. 37 indexed citations
20.
Tang, Guiliang, et al.. (1997). Regulation of Lysine Catabolism through Lysine-Ketoglutarate Reductase and Saccharopine Dehydrogenase in Arabidopsis. The Plant Cell. 9(8). 1305–1305. 11 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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