Ai‐Ling Lin

1.3k citations
64 papers · 982 · h-index 18

Impact in

Papers in

    • Alzheimer's disease research and treatments 14
    • Diet and metabolism studies 11
    • Gut microbiota and health 10
    • Metabolomics and Mass Spectrometry Studies 5
    • Mitochondrial Function and Pathology 5

Ai‐Ling Lin

59 papers receiving 971 citations

Peers

Ai‐Ling Lin
Comparison fields: 5 of 104
  • Biological Psychiatry 72
  • Neurology 129
  • Aging 27
  • Physiology 267
  • Radiology, Nuclear Medicine and Imaging 148
Replace Theresa Köbe with:
Theresa Köbe Germany
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Luis O. Soto-Rojas Mexico
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Shiyong Li China
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Ai‐Ling Lin relative to Theresa Köbe Germany Theresa Köbe's profile →
Citations per field
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Citations per year

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-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.

Border = papers with Ai‐Ling Lin Line = papers co-authored together Ai‐Ling Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019110
2 202087
3 200874
4 201964
5 202051
6 201841
7 202234
8 202033
9 201731
10 201830
11 202122
12 201921
13 202318
14 202318
15 202118
16 202118
17 202317
18 201017
19 201817
20 202216

About Ai‐Ling Lin

Ai‐Ling Lin is a scholar working on Physiology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health and Neurology, having authored 64 papers that have together received 982 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (14 papers), Diet and metabolism studies (11 papers), Gut microbiota and health (10 papers), Advanced MRI Techniques and Applications (9 papers), Dementia and Cognitive Impairment Research (8 papers), Advanced Neuroimaging Techniques and Applications (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Mitochondrial Function and Pathology (5 papers). The work is most often cited by research in Biological Psychiatry (72 citations), Neurology (129 citations), Aging (27 citations), Physiology (267 citations) and Radiology, Nuclear Medicine and Imaging (148 citations). Ai‐Ling Lin has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Tyler C. Hammond, Lucille M. Yanckello, Xin Xing, Nathan Jacobs, Gongbo Liang, Jared D. Hoffman, Ishita Parikh, George E. Chlipala, Scott McCulloch and Hanzhang Lu. Their work appears in journals such as Alzheimer s & Dementia, The FASEB Journal, Current Developments in Nutrition, Frontiers in Neuroscience and Frontiers in Aging 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.

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