Yonghao Feng

669 total citations
21 papers, 522 citations indexed

About

Yonghao Feng is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Yonghao Feng has authored 21 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Physiology and 5 papers in Cancer Research. Recurrent topics in Yonghao Feng's work include Adipose Tissue and Metabolism (5 papers), Curcumin's Biomedical Applications (3 papers) and Nigella sativa pharmacological applications (3 papers). Yonghao Feng is often cited by papers focused on Adipose Tissue and Metabolism (5 papers), Curcumin's Biomedical Applications (3 papers) and Nigella sativa pharmacological applications (3 papers). Yonghao Feng collaborates with scholars based in China and United States. Yonghao Feng's co-authors include Men Wu, Xiaohong Shi, Yinghui Chen, Qiong Luo, Yangmei Xie, Yiye Shao, Xiaolin Deng, Long Chen, Qiong Luo and Yinghui Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Diabetes.

In The Last Decade

Yonghao Feng

21 papers receiving 515 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yonghao Feng China 12 239 128 124 58 51 21 522
Men Wu China 8 187 0.8× 117 0.9× 88 0.7× 47 0.8× 52 1.0× 9 402
Chen Zheng China 16 250 1.0× 92 0.7× 57 0.5× 78 1.3× 45 0.9× 40 531
Xiaoyun Cao China 16 359 1.5× 90 0.7× 80 0.6× 41 0.7× 140 2.7× 36 762
Morgayn I. Read New Zealand 11 264 1.1× 63 0.5× 144 1.2× 71 1.2× 81 1.6× 16 727
Yiye Shao China 14 332 1.4× 232 1.8× 74 0.6× 86 1.5× 47 0.9× 22 635
Huaizhou Qin China 14 268 1.1× 117 0.9× 61 0.5× 53 0.9× 101 2.0× 26 636
Yeru Chen China 13 381 1.6× 132 1.0× 92 0.7× 36 0.6× 86 1.7× 27 911
Ekaterina Turlova Canada 15 308 1.3× 53 0.4× 76 0.6× 89 1.5× 95 1.9× 21 842
Márton Pipicz Hungary 14 218 0.9× 94 0.7× 88 0.7× 24 0.4× 16 0.3× 21 563
Milad Hashemzehi Iran 15 255 1.1× 63 0.5× 75 0.6× 47 0.8× 60 1.2× 27 664

Countries citing papers authored by Yonghao Feng

Since Specialization
Citations

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

Fields of papers citing papers by Yonghao Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yonghao Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Yonghao Feng. A scholar is included among the top collaborators of Yonghao Feng 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 Yonghao Feng. Yonghao Feng 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.
Zhang, Xinyi, Shuang Zhang, Yunpeng Sun, et al.. (2025). Chaperone-mediated autophagy manipulates PGC1α stability and governs energy metabolism under thermal stress. Nature Communications. 16(1). 4455–4455. 2 indexed citations
2.
Feng, Yonghao, et al.. (2025). Roles of focal adhesion proteins in obesity related metabolic syndrome. Life Sciences. 378. 123808–123808. 1 indexed citations
3.
Wang, Hui, Ting Yao, Yitao Zhang, et al.. (2024). Multi-Omics Exploration of Obesity Biomarkers in Sedentary and Weight Loss Cohorts. PubMed. 5(2). 137–153. 1 indexed citations
4.
Cui, Na, et al.. (2024). Protective effect of alirocumab, a PCSK9 inhibitor, on the sciatic nerve of rats with diabetic peripheral neuropathy. Endocrine Journal. 71(3). 233–244. 3 indexed citations
5.
Zhang, Shuang, Hongmei Yan, Ruwen Wang, et al.. (2023). Skeletal muscle‐specific DJ‐1 ablation‐induced atrogenes expression and mitochondrial dysfunction contributing to muscular atrophy. Journal of Cachexia Sarcopenia and Muscle. 14(5). 2126–2142. 12 indexed citations
6.
Feng, Yonghao, Zhicheng Cui, Xiaodan Lü, et al.. (2023). Transcriptomics Dissection of Calorie Restriction and Exercise Training in Brown Adipose Tissue and Skeletal Muscle. Nutrients. 15(4). 1047–1047. 5 indexed citations
7.
Guo, Shanshan, Yonghao Feng, Xiaopeng Zhu, et al.. (2023). Metabolic crosstalk between skeletal muscle cells and liver through IRF4-FSTL1 in nonalcoholic steatohepatitis. Nature Communications. 14(1). 6047–6047. 18 indexed citations
8.
Guo, Shanshan, Qiongyue Zhang, Yonghao Feng, et al.. (2023). Muscle PARP1 inhibition extends lifespan through AMPKα PARylation and activation in Drosophila. Proceedings of the National Academy of Sciences. 120(13). e2213857120–e2213857120. 29 indexed citations
9.
10.
Zhang, Qiongyue, Qing Miao, Yehong Yang, et al.. (2021). Neuropeptide Y Plays an Important Role in the Relationship Between Brain Glucose Metabolism and Brown Adipose Tissue Activity in Healthy Adults: A PET/CT Study. Frontiers in Endocrinology. 12. 694162–694162. 4 indexed citations
11.
Feng, Yonghao, Ying Ge, Men Wu, et al.. (2020). <p>Long Non-Coding RNAs Regulate Inflammation in Diabetic Peripheral Neuropathy by Acting as ceRNAs Targeting miR-146a-5p</p>. Diabetes Metabolic Syndrome and Obesity. Volume 13. 413–422. 20 indexed citations
12.
Wu, Men, Yonghao Feng, & Xiaohong Shi. (2020). <p>Advances with Long Non-Coding RNAs in Diabetic Peripheral Neuropathy</p>. Diabetes Metabolic Syndrome and Obesity. Volume 13. 1429–1434. 10 indexed citations
13.
Deng, Xiaolin, Ming Wang, Sihui Hu, et al.. (2019). The Neuroprotective Effect of Astaxanthin on Pilocarpine-Induced Status Epilepticus in Rats. Frontiers in Cellular Neuroscience. 13. 123–123. 54 indexed citations
14.
Luo, Qiong, Yonghao Feng, Yangmei Xie, et al.. (2019). Nanoparticle–microRNA-146a-5p polyplexes ameliorate diabetic peripheral neuropathy by modulating inflammation and apoptosis. Nanomedicine Nanotechnology Biology and Medicine. 17. 188–197. 56 indexed citations
15.
Deng, Xiaolin, Yiye Shao, Yangmei Xie, et al.. (2019). MicroRNA-146a-5p Downregulates the Expression of P-Glycoprotein in Rats with Lithium–Pilocarpine-Induced Status Epilepticus. Biological and Pharmaceutical Bulletin. 42(5). 744–750. 28 indexed citations
16.
Feng, Yonghao, Long Chen, Qiong Luo, et al.. (2018). Involvement of microRNA-146a in diabetic peripheral neuropathy through the regulation of inflammation. Drug Design Development and Therapy. Volume 12. 171–177. 93 indexed citations
17.
Xie, Yangmei, Yonghao Feng, Long Chen, et al.. (2018). MicroRNA-146a: A Comprehensive Indicator of Inflammation and Oxidative Stress Status Induced in the Brain of Chronic T2DM Rats. Frontiers in Pharmacology. 9. 478–478. 67 indexed citations
18.
19.
Luo, Qiong, Zhen Ren, Linlin Zhu, et al.. (2017). Involvement of microRNA-146a in the Inflammatory Response of S tatus Epilepticus Rats. CNS & Neurological Disorders - Drug Targets. 16(6). 686–693. 10 indexed citations
20.
Shao, Yiye, Yonghao Feng, Yangmei Xie, et al.. (2016). Protective Effects of Thymoquinone Against Convulsant Activity Induced by Lithium-Pilocarpine in a model of Status Epilepticus. Neurochemical Research. 41(12). 3399–3406. 22 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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