Ai-Ling Lin
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
Papers in
-
- Mitochondrial Function and Pathology 8
- Physiology 14
- Diet and metabolism studies 6
- Alzheimer's disease research and treatments 5
- Adipose Tissue and Metabolism 3
- Co-authors
- Peter T. Fox (7 shared papers)Verónica Galván (5 shared papers)Timothy Q. Duong (5 shared papers)Arlan Richardson (4 shared papers)Anika M. S. Hartz (3 shared papers)Jared D. Hoffman (3 shared papers)Ishita Parikh (3 shared papers)Jia‐Hong Gao (2 shared papers)
- Journals
- Journal of Cerebral Blood Flow & Metabolism (7 papers)Frontiers in Aging Neuroscience (2 papers)Journal of Materials Chemistry B (2 papers)Magnetic Resonance Materials in Physics Biology and Medicine (1 paper)NeuroImage Clinical (1 paper)
- Partner nations
- United StatesItalyBelgium
In The Last Decade
Ai-Ling Lin
29 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 117
- Aging 168
- Biological Psychiatry 153
- Physiology 808
- Neurology 259
- Endocrine and Autonomic Systems 86
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 258 | |
| 2 | 2010 | 176 | |
| 3 | 2013 | 174 | |
| 4 | 2015 | 128 | |
| 5 | 2017 | 112 | |
| 6 | 2014 | 100 | |
| 7 | 2014 | 93 | |
| 8 | 2013 | 88 | |
| 9 | 2016 | 77 | |
| 10 | 2015 | 71 | |
| 11 | 2016 | 66 | |
| 12 | 2012 | 63 | |
| 13 | 2013 | 50 | |
| 14 | 2015 | 50 | |
| 15 | 2014 | 49 | |
| 16 | 2011 | 48 | |
| 17 | 2014 | 38 | |
| 18 | 2017 | 36 | |
| 19 | 2016 | 34 | |
| 20 | 2014 | 32 |
About Ai-Ling Lin
Ai-Ling Lin is a scholar working on Molecular Biology, Physiology, Radiology, Nuclear Medicine and Imaging, Neurology and Cellular and Molecular Neuroscience, having authored 30 papers that have together received 1.9k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (8 papers), Advanced MRI Techniques and Applications (6 papers), Diet and metabolism studies (6 papers), Alzheimer's disease research and treatments (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Neurological Disease Mechanisms and Treatments (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Aging (168 citations), Biological Psychiatry (153 citations), Physiology (808 citations), Neurology (259 citations) and Endocrine and Autonomic Systems (86 citations). Ai-Ling Lin has collaborated with scholars based in United States, Italy and Belgium. Frequent co-authors include Peter T. Fox, Verónica Galván, Timothy Q. Duong, Arlan Richardson, Anika M. S. Hartz, Jared D. Hoffman, Ishita Parikh, Jia‐Hong Gao, George E. Chlipala and Stefan J. Green. Their work appears in journals such as Journal of Cerebral Blood Flow & Metabolism, Frontiers in Aging Neuroscience, Journal of Materials Chemistry B, Magnetic Resonance Materials in Physics Biology and Medicine and NeuroImage Clinical.
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.