Yanling Yin
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms 7
- Intracranial Aneurysms: Treatment and Complications 4
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms 7
- Intracranial Aneurysms: Treatment and Complications 4
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms 4
- Cognitive Neuroscience top 10%
- Geriatrics and Gerontology top 10%
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- Neuroscience and Neuropharmacology Research 10
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- Mitochondrial Function and Pathology 7
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- Alzheimer's disease research and treatments 4
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- Autophagy in Disease and Therapy 4
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- Respiratory Support and Mechanisms 3
- Co-authors
- Geng ZhouMing SuMing‐Hua LiWeijia FengPeipei WangAndrew C. N. ChenWei WangJiahui Fan
- Cited by
- NeurologyDevelopmental Neuroscience
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yanling Yin
39 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 120
- Neurology 166
- Neurology 252
- Developmental Neuroscience 52
- Cognitive Neuroscience 211
- Geriatrics and Gerontology 36
Countries citing papers authored by Yanling Yin
This map shows the geographic impact of Yanling Yin'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 Yanling Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanling Yin more than expected).
Fields of papers citing papers by Yanling Yin
This network shows the impact of papers produced by Yanling Yin. 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 Yanling Yin. The network helps show where Yanling Yin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yanling Yin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 8 | |
| 6 | 2021 | 6 | |
| 7 | 2020 | 35 | |
| 8 | 2019 | 8 | |
| 9 | 2018 | 3 | |
| 10 | 2017 | 140 | |
| 11 | 2017 | 84 | |
| 12 | 2016 | 37 | |
| 13 | 2016 | 14 | |
| 14 | 2016 | 16 | |
| 15 | 2015 | 9 | |
| 16 | 2014 | 24 | |
| 17 | 2013 | 64 | |
| 18 | 2013 | 9 | |
| 19 | 2008 | 204 | |
| 20 | 2006 | 15 |
About Yanling Yin
Yanling Yin is a scholar working on Developmental Neuroscience, Neurology and Critical Care and Intensive Care Medicine, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), Mitochondrial Function and Pathology (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Intracranial Aneurysms: Treatment and Complications (4 papers), Alzheimer's disease research and treatments (4 papers), Autophagy in Disease and Therapy (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Respiratory Support and Mechanisms (3 papers). The work is most often cited by research in Neurology (166 citations), Neurology (252 citations) and Developmental Neuroscience (52 citations). Yanling Yin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Geng Zhou, Ming Su, Ming‐Hua Li, Weijia Feng, Peipei Wang, Andrew C. N. Chen, Wei Wang, Jiahui Fan, Weijie Yan and Xia Zhang. Their work appears in journals such as NeuroImage, Scientific Reports and Brain Research.
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.