Danying Yang

531 total citations
9 papers, 356 citations indexed

About

Danying Yang is a scholar working on Molecular Biology, Neurology and Developmental Neuroscience. According to data from OpenAlex, Danying Yang has authored 9 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Neurology and 3 papers in Developmental Neuroscience. Recurrent topics in Danying Yang's work include Autophagy in Disease and Therapy (2 papers), Mitochondrial Function and Pathology (2 papers) and Anesthesia and Neurotoxicity Research (2 papers). Danying Yang is often cited by papers focused on Autophagy in Disease and Therapy (2 papers), Mitochondrial Function and Pathology (2 papers) and Anesthesia and Neurotoxicity Research (2 papers). Danying Yang collaborates with scholars based in China and United States. Danying Yang's co-authors include Fuzhou Hua, Jun Ying, Fang Yang, Wen Yu, Qingcui Zheng, Lieliang Zhang, Xing Liu, Xifeng Wang, Tiancheng Zhao and Shoulin Chen and has published in prestigious journals such as Frontiers in Immunology, Frontiers in Neuroscience and Journal of Translational Medicine.

In The Last Decade

Danying Yang

9 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danying Yang China 8 170 88 68 66 49 9 356
Yutong Song China 10 206 1.2× 49 0.6× 67 1.0× 42 0.6× 19 0.4× 22 413
Kenneth T. Farabaugh United States 6 159 0.9× 68 0.8× 254 3.7× 49 0.7× 16 0.3× 6 475
Francisco J. Ortega Spain 10 152 0.9× 99 1.1× 167 2.5× 71 1.1× 13 0.3× 14 451
Juan Zhao China 13 182 1.1× 87 1.0× 77 1.1× 71 1.1× 50 1.0× 48 503
Mónica S. Chianelli Argentina 16 271 1.6× 47 0.5× 75 1.1× 31 0.5× 13 0.3× 32 608
Bolati Kuerban Japan 11 177 1.0× 183 2.1× 69 1.0× 30 0.5× 9 0.2× 17 405
Tyrell Simkins United States 7 93 0.5× 55 0.6× 52 0.8× 83 1.3× 35 0.7× 19 320
Wanlong Lei China 13 127 0.7× 49 0.6× 79 1.2× 42 0.6× 15 0.3× 18 398
Ramin Siushansian Canada 8 276 1.6× 63 0.7× 103 1.5× 108 1.6× 23 0.5× 8 573
Emmanuel Villanueva United States 3 105 0.6× 85 1.0× 290 4.3× 44 0.7× 21 0.4× 3 477

Countries citing papers authored by Danying Yang

Since Specialization
Citations

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

Fields of papers citing papers by Danying Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danying Yang

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

All Works

9 of 9 papers shown
1.
Sheng, Hongguang, Jun Xiong, & Danying Yang. (2023). Protective Effect of Sevoflurane Preconditioning on Cardiomyocytes Against Hypoxia/Reoxygenation Injury by Modulating Iron Homeostasis and Ferroptosis. Cardiovascular Toxicology. 23(2). 86–92. 7 indexed citations
2.
Yang, Danying, Xifeng Wang, Lieliang Zhang, et al.. (2022). Lipid metabolism and storage in neuroglia: role in brain development and neurodegenerative diseases. Cell & Bioscience. 12(1). 106–106. 90 indexed citations
3.
Liu, Xing, Fuzhou Hua, Danying Yang, et al.. (2022). Roles of neuroligins in central nervous system development: focus on glial neuroligins and neuron neuroligins. Journal of Translational Medicine. 20(1). 418–418. 23 indexed citations
4.
Zhang, Lieliang, Xifeng Wang, Wen Yu, et al.. (2022). CB2R Activation Regulates TFEB-Mediated Autophagy and Affects Lipid Metabolism and Inflammation of Astrocytes in POCD. Frontiers in Immunology. 13. 836494–836494. 37 indexed citations
5.
Yu, Wai Haung, Jun Ying, Xifeng Wang, et al.. (2021). The Involvement of Lactosylceramide in Central Nervous System Inflammation Related to Neurodegenerative Disease. Frontiers in Aging Neuroscience. 13. 691230–691230. 18 indexed citations
6.
Ying, Jun, Danying Yang, Fang Pu, et al.. (2021). The Mechanisms of Sevoflurane-Induced Neuroinflammation. Frontiers in Aging Neuroscience. 13. 717745–717745. 35 indexed citations
7.
Liu, Xing, Jun Ying, Xifeng Wang, et al.. (2021). Astrocytes in Neural Circuits: Key Factors in Synaptic Regulation and Potential Targets for Neurodevelopmental Disorders. Frontiers in Molecular Neuroscience. 14. 729273–729273. 37 indexed citations
8.
Yang, Fang, Xifeng Wang, Danying Yang, et al.. (2021). Relieving Cellular Energy Stress in Aging, Neurodegenerative, and Metabolic Diseases, SIRT1 as a Therapeutic and Promising Node. Frontiers in Aging Neuroscience. 13. 738686–738686. 38 indexed citations
9.
Yang, Danying, Jun Ying, Tiancheng Zhao, et al.. (2021). Mitochondrial Dynamics: A Key Role in Neurodegeneration and a Potential Target for Neurodegenerative Disease. Frontiers in Neuroscience. 15. 654785–654785. 71 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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