Ling‐Yan Su
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
Papers in
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- Gut microbiota and health 3
- Metabolomics and Mass Spectrometry Studies 3
- Inflammasome and immune disorders 3
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- Autophagy in Disease and Therapy 6
- Co-authors
- Yong‐Gang Yao (15 shared papers)Rongcan Luo (6 shared papers)Qianjin Liu (9 shared papers)Hejiang Zhou (10 shared papers)Lu-Xiu Yang (6 shared papers)Lin Xu (3 shared papers)Min Xu (2 shared papers)Yu Fan (2 shared papers)
In The Last Decade
Ling‐Yan Su
30 papers receiving 976 citations
Ling‐Yan Su's Hit Papers
Peers
Comparison fields: 5 of 98
- Biological Psychiatry 67
- Endocrine and Autonomic Systems 77
- Neurology 96
- Aging 15
- Physiology 197
Countries citing papers authored by Ling‐Yan Su
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
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-authors
The 25 scholars most cited alongside Ling‐Yan Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Activation of PPARA-mediated autophagy reduces Alzheimer disease-like pathology and cognitive decline in a murine model Hit paper breakdown → | 2019 | 292 |
| 2 | 2015 | 114 | |
| 3 | 2013 | 110 | |
| 4 | 2017 | 62 | |
| 5 | 2020 | 58 | |
| 6 | 2016 | 49 | |
| 7 | 2024 | 41 | |
| 8 | 2023 | 38 | |
| 9 | 2018 | 32 | |
| 10 | 2012 | 31 | |
| 11 | 2016 | 25 | |
| 12 | 2021 | 22 | |
| 13 | 2014 | 16 | |
| 14 | 2021 | 16 | |
| 15 | 2014 | 12 | |
| 16 | 2024 | 12 | |
| 17 | 2017 | 10 | |
| 18 | 2022 | 9 | |
| 19 | 2023 | 7 | |
| 20 | 2024 | 5 |
About Ling‐Yan Su
Ling‐Yan Su is a scholar working on Molecular Biology, Epidemiology, Physiology, Pharmacology and Cognitive Neuroscience, having authored 33 papers that have together received 985 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (6 papers), Gut microbiota and health (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Sleep and Wakefulness Research (3 papers), Inflammasome and immune disorders (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Cannabis and Cannabinoid Research (2 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). The work is most often cited by research in Biological Psychiatry (67 citations), Endocrine and Autonomic Systems (77 citations), Neurology (96 citations), Aging (15 citations) and Physiology (197 citations). Ling‐Yan Su has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Yong‐Gang Yao, Rongcan Luo, Qianjin Liu, Hejiang Zhou, Lu-Xiu Yang, Lin Xu, Min Xu, Yu Fan, Dengfeng Zhang and Guiyu Li. Their work appears in journals such as Autophagy, Redox Biology, Foods, Cellular and Molecular Immunology and Molecular Neurobiology.
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.