Ai‐Ling Lin
Impact in
Papers in
- Physiology 29
- Alzheimer's disease research and treatments 24
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- Dementia and Cognitive Impairment Research 19
- Co-authors
- Peter T. Fox (11 shared papers)Jared D. Hoffman (11 shared papers)Verónica Galván (6 shared papers)Ishita J. Parikh (10 shared papers)Arlan G Richardson (5 shared papers)Timothy Q. Duong (5 shared papers)Jia‐Hong Gao (4 shared papers)Stefan J. Green (11 shared papers)
- Journals
- Journal of Cerebral Blood Flow & Metabolism (9 papers)Alzheimer s & Dementia (6 papers)Frontiers in Aging Neuroscience (4 papers)The FASEB Journal (3 papers)Frontiers in Neuroscience (3 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Ai‐Ling Lin
82 papers receiving 3k citations
Peers
Comparison fields: 5 of 116
- Aging 263
- Neurology 345
- Physiology 818
- Psychiatry and Mental health 342
- Radiology, Nuclear Medicine and Imaging 328
Countries citing papers authored by Ai‐Ling Lin
This map shows the geographic impact of Ai‐Ling Lin'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 Ai‐Ling Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ai‐Ling Lin more than expected).
Fields of papers citing papers by Ai‐Ling Lin
This network shows the impact of papers produced by Ai‐Ling Lin. 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 Ai‐Ling Lin. The network helps show where Ai‐Ling Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ai‐Ling Lin, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 265 | |
| 2 | 2013 | 186 | |
| 3 | 2010 | 180 | |
| 4 | 2015 | 138 | |
| 5 | 2019 | 115 | |
| 6 | 2017 | 113 | |
| 7 | 2014 | 102 | |
| 8 | 2014 | 96 | |
| 9 | 2020 | 91 | |
| 10 | 2013 | 88 | |
| 11 | 2016 | 83 | |
| 12 | 2015 | 77 | |
| 13 | 2008 | 75 | |
| 14 | 2016 | 69 | |
| 15 | 2019 | 68 | |
| 16 | 2012 | 62 | |
| 17 | 2015 | 53 | |
| 18 | 2011 | 50 | |
| 19 | 2013 | 50 | |
| 20 | 2008 | 49 |
About Ai‐Ling Lin
Ai‐Ling Lin is a scholar working on Physiology, Psychiatry and Mental health, Neurology, Aging and Radiology, Nuclear Medicine and Imaging, having authored 86 papers that have together received 3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (24 papers), Dementia and Cognitive Impairment Research (19 papers), Advanced MRI Techniques and Applications (13 papers), Gut microbiota and health (12 papers), Barrier Structure and Function Studies (8 papers), Genetics, Aging, and Longevity in Model Organisms (8 papers), Mitochondrial Function and Pathology (5 papers) and Neurological Disease Mechanisms and Treatments (4 papers). The work is most often cited by research in Aging (263 citations), Neurology (345 citations), Physiology (818 citations), Psychiatry and Mental health (342 citations) and Radiology, Nuclear Medicine and Imaging (328 citations). Ai‐Ling Lin has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Peter T. Fox, Jared D. Hoffman, Verónica Galván, Ishita J. Parikh, Arlan G Richardson, Timothy Q. Duong, Jia‐Hong Gao, Stefan J. Green, George Edward Chlipala and Anika M. S. Hartz. Their work appears in journals such as Journal of Cerebral Blood Flow & Metabolism, Alzheimer s & Dementia, Frontiers in Aging Neuroscience, The FASEB Journal and Frontiers in Neuroscience.
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.