Ling‐Yan Su

3.9k total citations · 1 hit paper
30 papers, 905 citations indexed

About

Ling‐Yan Su is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Ling‐Yan Su has authored 30 papers receiving a total of 905 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Epidemiology and 6 papers in Physiology. Recurrent topics in Ling‐Yan Su's work include Autophagy in Disease and Therapy (5 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Gut microbiota and health (3 papers). Ling‐Yan Su is often cited by papers focused on Autophagy in Disease and Therapy (5 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Gut microbiota and health (3 papers). Ling‐Yan Su collaborates with scholars based in China, Hong Kong and Canada. Ling‐Yan Su's co-authors include Yong‐Gang Yao, Rongcan Luo, Qianjin Liu, Hejiang Zhou, Lu-Xiu Yang, Lin Xu, Min Xu, Yu Fan, Li Lv and Yuemei Feng and has published in prestigious journals such as Nano Letters, PLoS ONE and Free Radical Biology and Medicine.

In The Last Decade

Ling‐Yan Su

26 papers receiving 898 citations

Hit Papers

Activation of PPARA-mediated autophagy reduces Alzheimer ... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ling‐Yan Su China 14 378 207 200 113 99 30 905
Zhong Li China 18 491 1.3× 219 1.1× 138 0.7× 84 0.7× 123 1.2× 60 1.3k
Sebastian Boland United States 17 458 1.2× 256 1.2× 142 0.7× 88 0.8× 53 0.5× 18 1.0k
Penélope Aguilera Mexico 19 342 0.9× 145 0.7× 141 0.7× 201 1.8× 168 1.7× 43 1.1k
Fan Bu China 19 524 1.4× 133 0.6× 75 0.4× 107 0.9× 72 0.7× 55 956
Toshio Inui Japan 19 495 1.3× 215 1.0× 75 0.4× 61 0.5× 132 1.3× 59 1.1k
Emily Sun Australia 18 827 2.2× 474 2.3× 83 0.4× 126 1.1× 85 0.9× 28 1.6k
Myoung-Hwa Lee South Korea 14 379 1.0× 149 0.7× 55 0.3× 157 1.4× 85 0.9× 16 975
Kai Zhong China 23 673 1.8× 297 1.4× 110 0.6× 129 1.1× 283 2.9× 61 1.5k
Chunling Ma China 21 628 1.7× 181 0.9× 97 0.5× 133 1.2× 306 3.1× 92 1.4k
Jason York United States 15 158 0.4× 226 1.1× 83 0.4× 87 0.8× 66 0.7× 34 672

Countries citing papers authored by Ling‐Yan Su

Since Specialization
Citations

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

Fields of papers citing papers by Ling‐Yan Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling‐Yan Su

This figure shows the co-authorship network connecting the top 25 collaborators of Ling‐Yan Su. A scholar is included among the top collaborators of Ling‐Yan Su 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‐Yan Su. Ling‐Yan Su 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
2.
Shi, Chengyong, Ling‐Yan Su, Yu Cao, et al.. (2025). Smartphone-Manipulated Mild-Temperature Photothermal Control of the TfR-LYTAC Platform for Tumor Treatment. Nano Letters. 25(17). 6864–6871. 1 indexed citations
4.
Zhou, Hejiang, Quanming Zhao, Ning Xu, et al.. (2025). Molecular Mechanism of NLRP3 Inflammasome in Inflammatory Diseases and Tumors. Immunity Inflammation and Disease. 13(7). e70213–e70213. 2 indexed citations
5.
Liu, Xiaoxue, Hejiang Zhou, Na Yang, et al.. (2025). Parishin from Gastrodia elata ameliorates DSS induced colitis and anxiety-like behavior in mice by regulating intestinal barrier function and microviota-gut-brain axis. Phytomedicine. 145. 157019–157019. 1 indexed citations
6.
Wang, Shaomeng, et al.. (2024). Integrated multi-omics profiling highlights the diet-gut-brain axis in low-calorie diets promoted novelty-seeking behavior. Current Research in Food Science. 9. 100897–100897. 1 indexed citations
7.
Su, Ling‐Yan, Yang Tian, Yu Cao, et al.. (2024). Anti-tumor immunotherapy using engineered bacterial outer membrane vesicles fused to lysosome-targeting chimeras mediated by transferrin receptor. Cell chemical biology. 31(6). 1219–1230.e5. 29 indexed citations
8.
Liu, Qianjin, et al.. (2024). GSNOR negatively regulates the NLRP3 inflammasome via S-nitrosation of MAPK14. Cellular and Molecular Immunology. 21(6). 561–574. 4 indexed citations
10.
Su, Ling‐Yan, Qianjin Liu, Xinhua Qiao, et al.. (2024). S-nitrosoglutathione reductase alleviates morphine analgesic tolerance by restricting PKCα S-nitrosation. Redox Biology. 75. 103239–103239. 3 indexed citations
11.
Wu, Qi, Hejiang Zhou, Jun Sheng, Ling‐Yan Su, & Yang Tian. (2023). Extraction, structural properties, and bioactivities of Moringa (Moringa oleifera Lam.) isothiocyanates: A review. Food Bioscience. 57. 103447–103447. 7 indexed citations
12.
Yang, Min, et al.. (2023). Moringa oleifera Lam. leaves as new raw food material: A review of its nutritional composition, functional properties, and comprehensive application. Trends in Food Science & Technology. 138. 399–416. 36 indexed citations
13.
Su, Ling‐Yan, Qianjin Liu, Rongcan Luo, et al.. (2022). GSNOR deficiency attenuates MPTP-induced neurotoxicity and autophagy by facilitating CDK5 S-nitrosation in a mouse model of Parkinson's disease. Free Radical Biology and Medicine. 189. 111–121. 9 indexed citations
14.
Su, Ling‐Yan, et al.. (2021). Molecular Mechanism of Neuroprotective Effect of Melatonin on Morphine Addiction and Analgesic Tolerance: an Update. Molecular Neurobiology. 58(9). 4628–4638. 16 indexed citations
15.
Liu, Qianjin, Ling‐Yan Su, Ying Miao, et al.. (2020). Melatonin alleviates morphine analgesic tolerance in mice by decreasing NLRP3 inflammasome activation. Redox Biology. 34. 101560–101560. 52 indexed citations
16.
Zeng, Lin, Ming Chen, Yàn Li, et al.. (2017). Rapid Evolution of Genes Involved in Learning and Energy Metabolism for Domestication of the Laboratory Rat. Molecular Biology and Evolution. 34(12). 3148–3153. 10 indexed citations
17.
Wang, Mingshan, Yongxia Huo, Yán Li, et al.. (2016). Comparative population genomics reveals genetic basis underlying body size of domestic chickens. Journal of Molecular Cell Biology. 8(6). 542–552. 25 indexed citations
18.
Su, Ling‐Yan, Xuelian Li, Li Shen, et al.. (2014). Polymorphisms of TERT and CLPTM1L and the Risk of Hepatocellular Carcinoma in Chinese Males. Asian Pacific Journal of Cancer Prevention. 15(19). 8197–8201. 12 indexed citations
19.
Feng, Yuemei, Yun‐Fang Jia, Ling‐Yan Su, et al.. (2013). Decreased mitochondrial DNA copy number in the hippocampus and peripheral blood during opiate addiction is mediated by autophagy and can be salvaged by melatonin. Autophagy. 9(9). 1395–1406. 106 indexed citations
20.
Wang, Dong, Ling‐Yan Su, A‐Mei Zhang, et al.. (2012). Mitochondrial DNA Copy Number, but Not Haplogroup, Confers a Genetic Susceptibility to Leprosy in Han Chinese from Southwest China. PLoS ONE. 7(6). e38848–e38848. 31 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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