Liang Yang

2.4k total citations
46 papers, 1.8k citations indexed

About

Liang Yang is a scholar working on Molecular Biology, Plant Science and Cellular and Molecular Neuroscience. According to data from OpenAlex, Liang Yang has authored 46 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 16 papers in Plant Science and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Liang Yang's work include Plant Stress Responses and Tolerance (9 papers), Photosynthetic Processes and Mechanisms (7 papers) and Plant Molecular Biology Research (7 papers). Liang Yang is often cited by papers focused on Plant Stress Responses and Tolerance (9 papers), Photosynthetic Processes and Mechanisms (7 papers) and Plant Molecular Biology Research (7 papers). Liang Yang collaborates with scholars based in China, United States and Hong Kong. Liang Yang's co-authors include Xi Bai, Yong Li, Wei Ji, Hua Cai, Yanming Zhu, Peng Gao, Dekang Lv, Lan Bao, Huasheng Xiao and Fang‐Xiong Zhang and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Liang Yang

45 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liang Yang China 18 931 846 371 309 83 46 1.8k
Alma Sanchez United States 20 758 0.8× 364 0.4× 170 0.5× 115 0.4× 65 0.8× 31 1.4k
Seth D. Findley United States 17 1.4k 1.5× 1.4k 1.6× 173 0.5× 238 0.8× 81 1.0× 25 3.1k
Liqiang He China 18 548 0.6× 427 0.5× 127 0.3× 101 0.3× 49 0.6× 29 1.3k
Satoshi Yano Japan 16 1.1k 1.2× 839 1.0× 171 0.5× 80 0.3× 17 0.2× 53 1.7k
Hirokazu Fukui Japan 20 743 0.8× 1.1k 1.3× 258 0.7× 162 0.5× 33 0.4× 88 1.8k
Xue Luo China 20 542 0.6× 724 0.9× 140 0.4× 70 0.2× 56 0.7× 60 1.4k
Fang Wu China 24 363 0.4× 648 0.8× 113 0.3× 578 1.9× 226 2.7× 66 1.6k
Minghao Jiang China 16 166 0.2× 624 0.7× 550 1.5× 228 0.7× 69 0.8× 43 1.5k
John F. Emery United States 12 912 1.0× 1.4k 1.6× 157 0.4× 200 0.6× 137 1.7× 12 2.0k
Tamara Maes United States 22 584 0.6× 1.1k 1.3× 116 0.3× 104 0.3× 57 0.7× 44 1.6k

Countries citing papers authored by Liang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Liang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Yang. A scholar is included among the top collaborators of Liang Yang 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 Liang Yang. Liang Yang 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.
Yang, Liang, et al.. (2024). Axonal mitophagy in retinal ganglion cells. Cell Communication and Signaling. 22(1). 382–382. 3 indexed citations
2.
Zhang, Yu, Xiangke Duan, Tian Zhou, et al.. (2024). Choline metabolism modulates cyclic-di-GMP signaling and virulence of Pseudomonas aeruginosa in a macrophage infection model. BMC Infectious Diseases. 24(1). 1466–1466. 2 indexed citations
3.
Fan, Bin, et al.. (2024). Interleukin-4 protects retinal ganglion cells and promotes axon regeneration. Cell Communication and Signaling. 22(1). 236–236. 2 indexed citations
4.
Huang, Han-Ying, et al.. (2024). Cytidine triphosphate synthase 1-mediated metabolic reprogramming promotes proliferation and drug resistance in multiple myeloma. Heliyon. 10(13). e33001–e33001. 3 indexed citations
5.
Chen, Yunyun, Kun Zhang, Rui Zhang, et al.. (2023). Targeting the SOX2/CDP protein complex with a peptide suppresses the malignant progression of esophageal squamous cell carcinoma. Cell Death Discovery. 9(1). 399–399. 3 indexed citations
6.
Xiang, Qiong, et al.. (2023). Heterogeneity and synaptic plasticity analysis of hippocampus based on db-/- mice induced diabetic encephalopathy. Psychoneuroendocrinology. 159. 106412–106412. 7 indexed citations
7.
Yang, Liang, et al.. (2023). Promotion of axon regeneration and protection on injured retinal ganglion cells by rCXCL2. Inflammation and Regeneration. 43(1). 31–31. 8 indexed citations
8.
Zhang, Li, Zhenming Yang, Liang Yang, et al.. (2022). Arabidopsis cryptochrome 2 forms photobodies with TCP22 under blue light and regulates the circadian clock. Nature Communications. 13(1). 2631–2631. 33 indexed citations
9.
Xu, Liping, et al.. (2020). Cell Cycle Genes Are Potential Diagnostic and Prognostic Biomarkers in Hepatocellular Carcinoma. BioMed Research International. 2020(1). 6206157–6206157. 9 indexed citations
10.
Tu, Min, Liang Yang, Zhaopeng Li, et al.. (2020). Using phage-assisted continuous evolution (PACE) to evolve human PD1. Experimental Cell Research. 396(1). 112244–112244. 4 indexed citations
11.
Wang, Qin, Zecheng Zuo, Xu Wang, et al.. (2016). Photoactivation and inactivation of Arabidopsis cryptochrome 2. Science. 354(6310). 343–347. 160 indexed citations
12.
Du, Xiaodong, Hongwei Zhao, Jingguo Wang, et al.. (2013). Changes in Starch Accumulation and Activity of Enzymes Associated with Starch Synthesis under Different Nitrogen Applications in <I>Japonica</I> Rice in Cold Region. ACTA AGRONOMICA SINICA. 38(1). 159–167. 8 indexed citations
13.
Yang, Liang, Wei Ji, Peng Gao, et al.. (2012). GsAPK, an ABA-Activated and Calcium-Independent SnRK2-Type Kinase from G. soja, Mediates the Regulation of Plant Tolerance to Salinity and ABA Stress. PLoS ONE. 7(3). e33838–e33838. 33 indexed citations
14.
Yang, Liang & Suminori Tokunaga. (2011). Migration and Floating Migration in Hebei Province, China, from Survey Data of Lulong and Changli Counties. Studies in Regional Science. 41(3). 759–768. 1 indexed citations
15.
Wang, Jingguo, et al.. (2010). Effects of nitrogen level on key enzyme to nitrogen metabolism of rice in cold region.. Nongye xiandaihua yanjiu. 31(2). 224–227. 1 indexed citations
16.
Yang, Liang, Wei Ji, Peng Gao, et al.. (2010). GsCBRLK, a calcium/calmodulin-binding receptor-like kinase, is a positive regulator of plant tolerance to salt and ABA stress. Journal of Experimental Botany. 61(9). 2519–2533. 84 indexed citations
17.
Gao, Peng, Xi Bai, Liang Yang, et al.. (2010). osa-MIR393: a salinity- and alkaline stress-related microRNA gene. Molecular Biology Reports. 38(1). 237–242. 186 indexed citations
18.
Gao, Peng, Xi Bai, Liang Yang, et al.. (2010). Over-expression of osa-MIR396c decreases salt and alkali stress tolerance. Planta. 231(5). 991–1001. 180 indexed citations
19.
Ji, Wei, Yong Li, Jie Li, et al.. (2006). Generation and analysis of expressed sequence tags from NaCl-treated Glycine soja. BMC Plant Biology. 6(1). 4–4. 26 indexed citations
20.
Xiao, Huasheng, Qiuhua Huang, Fang‐Xiong Zhang, et al.. (2002). Identification of gene expression profile of dorsal root ganglion in the rat peripheral axotomy model of neuropathic pain. Proceedings of the National Academy of Sciences. 99(12). 8360–8365. 417 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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