Gail Li
Impact in
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- Genetics, Aging, and Longevity in Model Organisms
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- Alzheimer's disease research and treatments
- Diet and metabolism studies
- Adipose Tissue and Metabolism
Papers in
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- Alzheimer's disease research and treatments 4
- Diet and metabolism studies 1
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- Gene expression and cancer classification 1
- Co-authors
- Debby W. Tsuang (3 shared papers)James B. Leverenz (3 shared papers)Joseph F. Quinn (4 shared papers)Elaine R. Peskind (6 shared papers)Thomas J. Montine (2 shared papers)Lynn M. Bekris (2 shared papers)Martin R. Farlow (2 shared papers)Jeffrey Kaye (2 shared papers)
- Journals
- Alzheimer s & Dementia (2 papers)American Journal of Medical Genetics Part B Neuropsychiatric Genetics (1 paper)The Journals of Gerontology Series A (1 paper)Alzheimer Disease & Associated Disorders (1 paper)Neurobiology of Aging (1 paper)
- Partner nations
- United StatesPolandSwitzerland
In The Last Decade
Gail Li
10 papers receiving 110 citations
Peers
Comparison fields: 5 of 47
- Aging 6
- Physiology 53
- Psychiatry and Mental health 16
- Neurology 8
- Neurology 14
Countries citing papers authored by Gail Li
This map shows the geographic impact of Gail Li'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 Gail Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gail Li more than expected).
Fields of papers citing papers by Gail Li
This network shows the impact of papers produced by Gail Li. 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 Gail Li. The network helps show where Gail Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Gail Li, 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 | 2021 | 30 | |
| 2 | 2005 | 28 | |
| 3 | 2012 | 25 | |
| 4 | 2012 | 14 | |
| 5 | 2019 | 6 | |
| 6 | 2023 | 5 | |
| 7 | 2024 | 1 | |
| 8 | 2009 | 1 | |
| 9 | 2008 | 1 | |
| 10 | 2015 | 1 |
About Gail Li
Gail Li is a scholar working on Physiology, Molecular Biology, Psychiatry and Mental health, Surgery and Pharmacology, having authored 10 papers that have together received 112 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (4 papers), Dementia and Cognitive Impairment Research (3 papers), Diet and metabolism studies (1 paper), Traumatic Brain Injury and Neurovascular Disturbances (1 paper), Gene expression and cancer classification (1 paper), Cholinesterase and Neurodegenerative Diseases (1 paper), Insurance, Mortality, Demography, Risk Management (1 paper) and Balance, Gait, and Falls Prevention (1 paper). The work is most often cited by research in Aging (6 citations), Physiology (53 citations), Psychiatry and Mental health (16 citations), Neurology (8 citations) and Neurology (14 citations). Gail Li has collaborated with scholars based in United States, Poland and Switzerland. Frequent co-authors include Debby W. Tsuang, James B. Leverenz, Joseph F. Quinn, Elaine R. Peskind, Thomas J. Montine, Lynn M. Bekris, Martin R. Farlow, Jeffrey Kaye, Kathryn A. Chung and Lisa Bettcher. Their work appears in journals such as Alzheimer s & Dementia, American Journal of Medical Genetics Part B Neuropsychiatric Genetics, The Journals of Gerontology Series A, Alzheimer Disease & Associated Disorders and Neurobiology of Aging.
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.