Ai‐Ling Lin

1.2k total citations
62 papers, 924 citations indexed

About

Ai‐Ling Lin is a scholar working on Physiology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ai‐Ling Lin has authored 62 papers receiving a total of 924 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Physiology, 22 papers in Molecular Biology and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ai‐Ling Lin's work include Diet and metabolism studies (14 papers), Alzheimer's disease research and treatments (14 papers) and Gut microbiota and health (10 papers). Ai‐Ling Lin is often cited by papers focused on Diet and metabolism studies (14 papers), Alzheimer's disease research and treatments (14 papers) and Gut microbiota and health (10 papers). Ai‐Ling Lin collaborates with scholars based in United States, China and South Korea. Ai‐Ling Lin's co-authors include Tyler C. Hammond, Lucille M. Yanckello, Xin Xing, Nathan Jacobs, Gongbo Liang, Jared D. Hoffman, Ishita Parikh, Hanzhang Lu, Peter T. Fox and Scott McCulloch and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ai‐Ling Lin

58 papers receiving 914 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ai‐Ling Lin United States 17 332 332 149 139 93 62 924
Hyon Lee South Korea 20 369 1.1× 314 0.9× 115 0.8× 81 0.6× 49 0.5× 52 1.3k
Cristina Festari Italy 14 319 1.0× 345 1.0× 137 0.9× 101 0.7× 77 0.8× 36 848
Binyin Li China 15 502 1.5× 403 1.2× 131 0.9× 128 0.9× 125 1.3× 41 999
Francesco Garaci Italy 17 285 0.9× 595 1.8× 76 0.5× 162 1.2× 94 1.0× 25 1.1k
Margaret E. Flanagan United States 16 255 0.8× 268 0.8× 37 0.2× 151 1.1× 125 1.3× 60 935
Seong A. Shin South Korea 18 203 0.6× 182 0.5× 148 1.0× 52 0.4× 117 1.3× 41 985
Qiaofeng Wu China 22 430 1.3× 236 0.7× 30 0.2× 190 1.4× 66 0.7× 101 1.3k
Priya Rajagopalan United States 17 131 0.4× 223 0.7× 186 1.2× 85 0.6× 192 2.1× 43 880
Chun-Hung Chang Taiwan 16 245 0.7× 195 0.6× 25 0.2× 159 1.1× 118 1.3× 47 876
Ioannis Mavroudis United Kingdom 20 293 0.9× 403 1.2× 56 0.4× 217 1.6× 145 1.6× 93 1.2k

Countries citing papers authored by Ai‐Ling Lin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ai‐Ling Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Ai‐Ling Lin. A scholar is included among the top collaborators of Ai‐Ling Lin 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 Ai‐Ling Lin. Ai‐Ling Lin 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
1.
Chang, Ya‐Hsuan, Xin Xing, Anna Chen, et al.. (2025). Ketogenic Diet Modulates Gut Microbiota–Brain Metabolite Axis in a Sex‐ and Genotype‐Specific Manner in  APOE4 Mice. Journal of Neurochemistry. 169(9). e70216–e70216.
2.
Chao, Guanqun, Ai‐Ling Lin, & Bao Yang. (2024). A study of the association of vitamin D receptor (VDR) as a predictive biomarker for immune checkpoint inhibitor therapy with immune invasion in colon adenocarcinoma. Journal of Pharmaceutical and Biomedical Analysis. 252. 116510–116510.
3.
Xing, Xin, Stefan J. Green, David Q. Beversdorf, et al.. (2024). Short‐term Sirolimus Treatment Restores Hippocampus and Caudate Volumes and Global Cerebral Blood Flow in Asymptomatic APOE4 Carriers Compared with Non‐carriers. Alzheimer s & Dementia. 20(S9). 1 indexed citations
4.
Zhou, Jian, Guangbin Zhang, Jun Yuan, et al.. (2023). The impact of preloaded intraocular lens implantation system (TECNIS iTec®) in routine cataract surgery in China: a time-motion analysis. BMC Ophthalmology. 23(1). 126–126. 1 indexed citations
5.
6.
Hammond, Tyler C., Stefan J. Green, George E. Chlipala, et al.. (2023). Gut microbiome association with brain imaging markers, APOE genotype, calcium and vegetable intakes, and obesity in healthy aging adults. Frontiers in Aging Neuroscience. 15. 1227203–1227203. 10 indexed citations
7.
Chang, Ya‐Hsuan, Lucille M. Yanckello, George E. Chlipala, et al.. (2023). Prebiotic inulin enhances gut microbial metabolism and anti-inflammation in apolipoprotein E4 mice with sex-specific implications. Scientific Reports. 13(1). 15116–15116. 10 indexed citations
8.
Lin, Ai‐Ling, Ting Wang, Chenxi Li, et al.. (2023). Association of Sarcopenia with Cognitive Function and Dementia Risk Score: A National Prospective Cohort Study. Metabolites. 13(2). 245–245. 12 indexed citations
9.
Xing, Xin, et al.. (2023). Self-Supervised Learning Application on COVID-19 Chest X-ray Image Classification Using Masked AutoEncoder. Bioengineering. 10(8). 901–901. 10 indexed citations
10.
Xing, Xin, et al.. (2022). Advit: Vision Transformer On Multi-Modality Pet Images For Alzheimer Disease Diagnosis. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). 1–4. 30 indexed citations
11.
Yanckello, Lucille M., Ya‐Hsuan Chang, George E. Chlipala, et al.. (2022). Inulin supplementation prior to mild traumatic brain injury mitigates gut dysbiosis, and brain vascular and white matter deficits in mice. PubMed. 1. 8 indexed citations
12.
Frank, Jacqueline A., Christopher J. McLouth, Tyler C. Hammond, et al.. (2021). Extended Middle Cerebral Artery Occlusion (MCAO) Model to Mirror Stroke Patients Undergoing Thrombectomy. Translational Stroke Research. 13(4). 604–615. 11 indexed citations
13.
Chen, Jin, et al.. (2021). Alzheimer’s Disease Classification Using Genetic Data. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2245–2252. 5 indexed citations
14.
Hammond, Tyler C., Xin Xing, Chris Wang, et al.. (2020). β-amyloid and tau drive early Alzheimer’s disease decline while glucose hypometabolism drives late decline. UKnowledge (University of Kentucky). 2 indexed citations
15.
Lin, Ai‐Ling, et al.. (2020). Preventable Deaths in Multiple Trauma Patients: The Importance of Auditing and Continuous Quality Improvement. World Journal of Surgery. 44(6). 1835–1843. 6 indexed citations
16.
Hoffman, Jared D., Lucille M. Yanckello, George E. Chlipala, et al.. (2019). Dietary inulin alters the gut microbiome, enhances systemic metabolism and reduces neuroinflammation in an APOE4 mouse model. PLoS ONE. 14(8). e0221828–e0221828. 105 indexed citations
17.
Lyons, Danielle N., Hemendra J. Vekaria, Teresa Macheda, et al.. (2018). A Mild Traumatic Brain Injury in Mice Produces Lasting Deficits in Brain Metabolism. Journal of Neurotrauma. 35(20). 2435–2447. 39 indexed citations
18.
Macheda, Teresa, Kelly N. Roberts, Danielle N. Lyons, et al.. (2018). Chronic Intermittent Hypoxia Induces Robust Astrogliosis in an Alzheimer’s Disease-Relevant Mouse Model. Neuroscience. 398. 55–63. 26 indexed citations
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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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