Kaida Ning
Impact in
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- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
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- Dementia and Cognitive Impairment Research
Papers in
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- Functional Brain Connectivity Studies 5
- Genetics 5
- Genetic Associations and Epidemiology 3
- Inflammatory Bowel Disease 2
- Co-authors
- Lu Zhao (7 shared papers)Arthur W. Toga (7 shared papers)William Matloff (7 shared papers)Fengzhu Sun (4 shared papers)Judy H. Cho (3 shared papers)Matija Hedl (1 shared paper)Amit Lahiri (1 shared paper)Ming Chen (1 shared paper)
- Journals
- Neurobiology of Aging (2 papers)Scientific Reports (2 papers)Bioinformatics (1 paper)Inflammatory Bowel Diseases (1 paper)Human Molecular Genetics (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Kaida Ning
14 papers receiving 563 citations
Peers
Comparison fields: 5 of 107
- Immunology 100
- Psychiatry and Mental health 49
- Genetics 97
- Cognitive Neuroscience 68
- Neurology 20
Countries citing papers authored by Kaida Ning
This map shows the geographic impact of Kaida Ning'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 Kaida Ning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaida Ning more than expected).
Fields of papers citing papers by Kaida Ning
This network shows the impact of papers produced by Kaida Ning. 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 Kaida Ning. The network helps show where Kaida Ning may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaida Ning, 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 | 2020 | 113 | |
| 2 | 2014 | 63 | |
| 3 | 2013 | 61 | |
| 4 | 2010 | 58 | |
| 5 | 2018 | 53 | |
| 6 | 2018 | 50 | |
| 7 | 2020 | 49 | |
| 8 | 2006 | 39 | |
| 9 | 2013 | 32 | |
| 10 | 2021 | 21 | |
| 11 | 2015 | 14 | |
| 12 | 2019 | 10 | |
| 13 | Identification of Dysregulated Genes for Late-Onset Alzheimer's Disease Using Gene Expression Data in Brain. | 2020 | 4 |
| 14 | 2024 | 2 | |
| 15 | 2025 | 0 |
About Kaida Ning
Kaida Ning is a scholar working on Cognitive Neuroscience, Genetics, Immunology, Psychiatry and Mental health and Molecular Biology, having authored 15 papers that have together received 569 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (5 papers), Dementia and Cognitive Impairment Research (3 papers), Genetic Associations and Epidemiology (3 papers), Health, Environment, Cognitive Aging (2 papers), Inflammatory Bowel Disease (2 papers), Folate and B Vitamins Research (1 paper), Alzheimer's disease research and treatments (1 paper) and Cognitive Functions and Memory (1 paper). The work is most often cited by research in Immunology (100 citations), Psychiatry and Mental health (49 citations), Genetics (97 citations), Cognitive Neuroscience (68 citations) and Neurology (20 citations). Kaida Ning has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Lu Zhao, Arthur W. Toga, William Matloff, Fengzhu Sun, Judy H. Cho, Matija Hedl, Amit Lahiri, Ming Chen, Clara Abraham and Meredith Franklin. Their work appears in journals such as Neurobiology of Aging, Scientific Reports, Bioinformatics, Inflammatory Bowel Diseases and Human Molecular Genetics.
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.