Ling Yao

507 total citations
31 papers, 393 citations indexed

About

Ling Yao is a scholar working on Molecular Biology, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Ling Yao has authored 31 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Epidemiology and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Ling Yao's work include Liver Disease Diagnosis and Treatment (9 papers), Diet, Metabolism, and Disease (8 papers) and Phytochemicals and Antioxidant Activities (4 papers). Ling Yao is often cited by papers focused on Liver Disease Diagnosis and Treatment (9 papers), Diet, Metabolism, and Disease (8 papers) and Phytochemicals and Antioxidant Activities (4 papers). Ling Yao collaborates with scholars based in China and Australia. Ling Yao's co-authors include Dan Zhang, Bao Yu, Lihong Tan, Jianwei Wang, Weiguo Cao, Dazhi Ke, Jinxiu Li, Peng Ma, Zhiwei Chen and Lirong Jiang and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Molecules and Journal of Ethnopharmacology.

In The Last Decade

Ling Yao

31 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ling Yao China 13 152 72 71 69 58 31 393
Rehab A. Hasan Egypt 13 130 0.9× 97 1.3× 57 0.8× 69 1.0× 44 0.8× 29 530
Hyeon‐A Kim South Korea 13 145 1.0× 95 1.3× 52 0.7× 56 0.8× 64 1.1× 46 419
Hessah Mohammed Al-Muzafar Saudi Arabia 10 121 0.8× 62 0.9× 85 1.2× 67 1.0× 38 0.7× 20 402
Mi‐Ok Sim South Korea 10 133 0.9× 85 1.2× 61 0.9× 46 0.7× 25 0.4× 21 358
Ui‐Jin Bae South Korea 13 141 0.9× 60 0.8× 79 1.1× 50 0.7× 29 0.5× 25 376
Mona N. BinMowyna Saudi Arabia 13 151 1.0× 56 0.8× 37 0.5× 65 0.9× 38 0.7× 30 430
Tomoyasu Kamiya Japan 14 159 1.0× 90 1.3× 55 0.8× 79 1.1× 62 1.1× 23 527
Eda Dokumacıoğlu Türkiye 12 145 1.0× 75 1.0× 59 0.8× 64 0.9× 30 0.5× 36 499
Huihui Ke China 10 206 1.4× 95 1.3× 102 1.4× 39 0.6× 69 1.2× 17 471
Hatice İskender Türkiye 12 143 0.9× 78 1.1× 50 0.7× 63 0.9× 32 0.6× 29 498

Countries citing papers authored by Ling Yao

Since Specialization
Citations

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

Fields of papers citing papers by Ling Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Yao. A scholar is included among the top collaborators of Ling Yao 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 Ling Yao. Ling Yao 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.
Liu, Yi, Ling Yao, Yuanyuan Liu, et al.. (2025). Micheliolide Alleviates Hepatic Fibrosis by Inhibiting Autophagy in Hepatic Stellate Cells via the TrxR1/2-Mediated ROS/MEK/ERK Pathway. Pharmaceuticals. 18(3). 287–287. 1 indexed citations
2.
Luo, Xiangwen, Chun Li, Ling Yao, et al.. (2024). Pepper vein yellow virus P0 protein triggers NbHERC3, NbBax, and NbCRR mediated hypersensitive response. Journal of Basic Microbiology. 64(6). e2400023–e2400023. 1 indexed citations
3.
4.
Yao, Ling, Jun Zhang, Yumeng Xi, et al.. (2023). Oleanolic Acid Inhibits SCD1 Gene Expression to Ameliorate Fructose‐Induced Hepatosteatosis through SREBP1c‐Dependent and ‐Independent Mechanisms. Molecular Nutrition & Food Research. 67(12). e2200533–e2200533. 7 indexed citations
5.
Wei, Tao, Weiguo Cao, Bao Yu, et al.. (2022). Hawk tea prevents high-fat diet-induced obesity in mice by activating the AMPK/ACC/SREBP1c signaling pathways and regulating the gut microbiota. Food & Function. 13(11). 6056–6071. 19 indexed citations
6.
Zuo, Guowei, Ling Yao, Haifei Li, et al.. (2021). Ursolic acid ameliorates adipose tissue insulin resistance in aged rats via activating the Akt‑glucose transporter 4 signaling pathway and inhibiting inflammation. Experimental and Therapeutic Medicine. 22(6). 1466–1466. 8 indexed citations
7.
Zhang, Dan, et al.. (2020). In Vitro and In Vivo Antioxidative Activity against Radiation‐Induced Damage and the Systematic Chemical Components of Different Extracts of Lagotis brevituba Maxim. Evidence-based Complementary and Alternative Medicine. 2020(1). 9726431–9726431. 3 indexed citations
8.
Yao, Ling, Li Liu, Jinxiu Li, et al.. (2020). Rhodiola crenulata root extract ameliorates fructose-induced hepatic steatosis in rats: Association with activating autophagy. Biomedicine & Pharmacotherapy. 125. 109836–109836. 11 indexed citations
9.
Liu, Li, Jinxiu Li, Haifei Li, et al.. (2020). Apple pomace and rosemary extract ameliorates hepatic steatosis in fructose-fed rats: Association with enhancing fatty acid oxidation and suppressing inflammation. Experimental and Therapeutic Medicine. 20(3). 1975–1986. 8 indexed citations
10.
Li, Jinxiu, Shang Wang, Ling Yao, et al.. (2018). 6-gingerol ameliorates age-related hepatic steatosis: Association with regulating lipogenesis, fatty acid oxidation, oxidative stress and mitochondrial dysfunction. Toxicology and Applied Pharmacology. 362. 125–135. 49 indexed citations
11.
Li, Jinxiu, Dazhi Ke, Ling Yao, et al.. (2017). Response of genes involved in lipid metabolism in rat epididymal white adipose tissue to different fasting conditions after long-term fructose consumption. Biochemical and Biophysical Research Communications. 484(2). 336–341. 12 indexed citations
12.
13.
Liu, Li, Shang Wang, Ling Yao, et al.. (2016). Long-term fructose consumption prolongs hepatic stearoyl-CoA desaturase 1 activity independent of upstream regulation in rats. Biochemical and Biophysical Research Communications. 479(4). 643–648. 13 indexed citations
14.
15.
Jiang, Lirong, Ling Yao, Yifan Yang, et al.. (2016). Jiangzhi Capsule improves fructose-induced insulin resistance in rats: Association with repair of the impaired sarcolemmal glucose transporter-4 recycling. Journal of Ethnopharmacology. 194. 288–298. 6 indexed citations
16.
Ma, Peng, Ling Yao, Xuemei Lin, et al.. (2016). A mixture of apple pomace and rosemary extract improves fructose consumption-induced insulin resistance in rats: modulation of sarcolemmal CD36 and glucose transporter-4.. PubMed. 8(9). 3791–3801. 7 indexed citations
17.
Tan, Lihong, et al.. (2015). Antioxidant activity and optimization of extraction of polysaccharide from the roots of Dipsacus asperoides. International Journal of Biological Macromolecules. 81. 332–339. 39 indexed citations
18.
Yao, Ling, et al.. (2014). Ooplast transfer of triploid pronucleus zygote improve reconstructed human-goat embryonic development.. PubMed. 7(10). 3678–86. 4 indexed citations
19.
Yao, Ling. (2012). Research Progress of Plant Allelopathy. Anhui nongye kexue. 2 indexed citations
20.
Yao, Ling, et al.. (2010). Genetic diversity of wild Cynodon dactylon germplasm detected by AFLP markers.. Acta Pratacultural Science. 19(3). 155–161. 2 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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