Fengying Liang

586 total citations
18 papers, 444 citations indexed

About

Fengying Liang is a scholar working on Molecular Biology, Complementary and alternative medicine and Pharmacology. According to data from OpenAlex, Fengying Liang has authored 18 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Complementary and alternative medicine and 3 papers in Pharmacology. Recurrent topics in Fengying Liang's work include Advanced Nanomaterials in Catalysis (3 papers), Traditional Chinese Medicine Analysis (2 papers) and Nanocluster Synthesis and Applications (2 papers). Fengying Liang is often cited by papers focused on Advanced Nanomaterials in Catalysis (3 papers), Traditional Chinese Medicine Analysis (2 papers) and Nanocluster Synthesis and Applications (2 papers). Fengying Liang collaborates with scholars based in China and Trinidad and Tobago. Fengying Liang's co-authors include Xiaofei He, Guangqing Xu, Yue Lan, Dongxu Liu, Jinsheng Zeng, Zhong Pei, Qun Zhang, Guangyan Dai, Wansheng Chen and Wei‐Fen Xie and has published in prestigious journals such as Angewandte Chemie International Edition, ACS Nano and PLoS ONE.

In The Last Decade

Fengying Liang

18 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fengying Liang China 7 131 109 93 87 87 18 444
Kui Xu United States 7 158 1.2× 145 1.3× 208 2.2× 91 1.0× 51 0.6× 14 606
Sandeep K. Agrawal United States 15 238 1.8× 246 2.3× 79 0.8× 128 1.5× 113 1.3× 27 778
Seyed Shahabeddin Sadr Iran 18 156 1.2× 231 2.1× 39 0.4× 120 1.4× 130 1.5× 33 689
Xing Chen China 13 97 0.7× 70 0.6× 85 0.9× 77 0.9× 54 0.6× 42 427
Amani Alghamdi Saudi Arabia 13 78 0.6× 183 1.7× 56 0.6× 37 0.4× 135 1.6× 41 523
Natalie Roese United States 9 183 1.4× 46 0.4× 118 1.3× 98 1.1× 101 1.2× 13 437
Mahshad Kolahdouzan Canada 5 68 0.5× 109 1.0× 101 1.1× 101 1.2× 108 1.2× 5 425
Merve Alaylıoğlu Türkiye 11 106 0.8× 173 1.6× 95 1.0× 166 1.9× 272 3.1× 33 700
Fei Hua China 14 115 0.9× 490 4.5× 92 1.0× 78 0.9× 162 1.9× 23 832
Ali Heidarianpour Iran 11 59 0.5× 79 0.7× 25 0.3× 45 0.5× 119 1.4× 44 403

Countries citing papers authored by Fengying Liang

Since Specialization
Citations

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

Fields of papers citing papers by Fengying Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengying Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Fengying Liang. A scholar is included among the top collaborators of Fengying Liang 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 Fengying Liang. Fengying Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Han, Dong, et al.. (2025). Deep learning and radiomics for gastric cancer serosal invasion: automated segmentation and multi-machine learning from two centers. Journal of Cancer Research and Clinical Oncology. 151(2). 60–60. 3 indexed citations
2.
3.
Qi, Yuming, Mingze Xu, Ziyuan Wang, et al.. (2024). Hepatic Biotransformation of Renal Clearable Gold Nanoparticles for Noninvasive Detection of Liver Glutathione Level via Urinalysis. Angewandte Chemie International Edition. 63(36). e202409477–e202409477. 14 indexed citations
4.
Qi, Yuming, Mingze Xu, Fengying Liang, et al.. (2024). Overcoming Hepatic Biotransformation Barrier of Gold Nanoparticles via Au–Se Bond for Enhanced In Vivo Active Targeting. ACS Nano. 18(42). 29178–29188. 6 indexed citations
5.
Liu, Zhijun, Fengying Liang, Shouhong Gao, et al.. (2023). Separation and quantification of Azvudine in plasma of patients with COVID-19 using LC-MS/MS. Journal of Pharmaceutical and Biomedical Analysis. 236. 115736–115736. 1 indexed citations
6.
Chen, Junfeng, Yun Wang, Fengying Liang, et al.. (2023). IiUGT71B2 catalyzes lignan glycosylation in Isatis indigotica with substrates specificity. Industrial Crops and Products. 195. 116483–116483. 4 indexed citations
7.
Hu, Jiadong, Feiyan Wang, Fengying Liang, et al.. (2022). Identification of Abietane-Type Diterpenoids and Phenolic Acids Biosynthesis Genes in Salvia apiana Jepson Through Full-Length Transcriptomic and Metabolomic Profiling. Frontiers in Plant Science. 13. 919025–919025. 5 indexed citations
8.
Liang, Fengying, et al.. (2022). Dual-energy computed tomography in reducing the effective radiation dose of computed tomography urography in patients with urinary calculi. Quantitative Imaging in Medicine and Surgery. 13(4). 2208–2217. 2 indexed citations
9.
Wang, Yuqi, Fengying Liang, Fangjie Yao, et al.. (2021). Molecular Mapping and Analysis of an Excellent Quantitative Trait Loci Conferring Adult-Plant Resistance to Stripe Rust in Chinese Wheat Landrace Gaoxianguangtoumai. Frontiers in Plant Science. 12. 756557–756557. 2 indexed citations
10.
Li, Yan, Xiang He, Jiawei Wang, et al.. (2020). Modulation of the Aβ-Peptide-Aggregation Pathway by Active Compounds From Platycladus orientalis Seed Extract in Alzheimer’s Disease Models. Frontiers in Aging Neuroscience. 12. 207–207. 4 indexed citations
11.
Guo, Dong, Fengying Liang, Bo Sun, et al.. (2019). Presence and function of stress granules in atrial fibrillation. PLoS ONE. 14(4). e0213769–e0213769. 14 indexed citations
12.
He, Xiaofei, Dongxu Liu, Qun Zhang, et al.. (2017). Voluntary Exercise Promotes Glymphatic Clearance of Amyloid Beta and Reduces the Activation of Astrocytes and Microglia in Aged Mice. Frontiers in Molecular Neuroscience. 10. 144–144. 265 indexed citations
13.
14.
Li, Shuai, Hang Li, Xiaofei He, et al.. (2016). Transgenic over-expression of slit2 enhances disruption of blood-brain barrier and increases cell death after traumatic brain injury in mice. Neuroscience Letters. 631. 85–90. 6 indexed citations
15.
Han, Jun, Yi Jia, Fengying Liang, et al.. (2015). X-3, a mangiferin derivative, stimulates AMP-activated protein kinase and reduces hyperglycemia and obesity in db/db mice. Molecular and Cellular Endocrinology. 405. 63–73. 39 indexed citations
16.
Han, Jun, Na Yang, Feng Zhang, et al.. (2015). Rhizoma Anemarrhenae extract ameliorates hyperglycemia and insulin resistance via activation of AMP-activated protein kinase in diabetic rodents. Journal of Ethnopharmacology. 172. 368–376. 31 indexed citations
17.
Jiang, Bo, et al.. (2011). Induction of cytochrome P450 3A by Shexiang Baoxin Pill and its main components. Chemico-Biological Interactions. 195(2). 105–113. 19 indexed citations
18.
Liang, Fengying. (2005). Effects of acupuncture on hyperlipidemia and hyperviscosity in old people. Journal of Acupuncture and Tuina Science. 3(1). 4–6. 1 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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