Kaida Ning

6.0k total citations
14 papers, 544 citations indexed

About

Kaida Ning is a scholar working on Cognitive Neuroscience, Genetics and Molecular Biology. According to data from OpenAlex, Kaida Ning has authored 14 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 5 papers in Genetics and 4 papers in Molecular Biology. Recurrent topics in Kaida Ning's work include Functional Brain Connectivity Studies (5 papers), Genetic Associations and Epidemiology (3 papers) and Dementia and Cognitive Impairment Research (3 papers). Kaida Ning is often cited by papers focused on Functional Brain Connectivity Studies (5 papers), Genetic Associations and Epidemiology (3 papers) and Dementia and Cognitive Impairment Research (3 papers). Kaida Ning collaborates with scholars based in United States, China and Canada. Kaida Ning's co-authors include William Matloff, Arthur W. Toga, Lu Zhao, Fengzhu Sun, Judy H. Cho, Xiaohong Chen, Ming Chen, Clara Abraham, Amit Lahiri and Matija Hedl and has published in prestigious journals such as Immunity, Bioinformatics and Scientific Reports.

In The Last Decade

Kaida Ning

14 papers receiving 539 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaida Ning United States 11 172 108 104 77 56 14 544
Qiushi Zhang China 16 217 1.3× 57 0.5× 49 0.5× 44 0.6× 48 0.9× 82 636
Tayard Desudchit Thailand 13 146 0.8× 58 0.5× 154 1.5× 72 0.9× 60 1.1× 37 965
Murray H. Brilliant United States 17 398 2.3× 82 0.8× 302 2.9× 60 0.8× 68 1.2× 38 987
Iain Stewart United Kingdom 14 206 1.2× 51 0.5× 40 0.4× 27 0.4× 49 0.9× 63 876
Yoko Hara Japan 15 201 1.2× 37 0.3× 56 0.5× 54 0.7× 111 2.0× 30 763
Daniel Kofink Netherlands 12 117 0.7× 33 0.3× 69 0.7× 38 0.5× 42 0.8× 15 388
Sara Abdulla Qatar 12 127 0.7× 89 0.8× 77 0.7× 106 1.4× 57 1.0× 52 467
Chiara Di Resta Italy 19 495 2.9× 30 0.3× 162 1.6× 35 0.5× 48 0.9× 63 1.1k
Georges Khazen Lebanon 14 95 0.6× 28 0.3× 115 1.1× 118 1.5× 29 0.5× 36 572
Ying Cui China 17 557 3.2× 40 0.4× 52 0.5× 31 0.4× 53 0.9× 58 995

Countries citing papers authored by Kaida Ning

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Kaida Ning

This figure shows the co-authorship network connecting the top 25 collaborators of Kaida Ning. A scholar is included among the top collaborators of Kaida Ning 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 Kaida Ning. Kaida Ning is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
2.
Ning, Kaida, Ben A. Duffy, Meredith Franklin, et al.. (2021). Improving brain age estimates with deep learning leads to identification of novel genetic factors associated with brain aging. Neurobiology of Aging. 105. 199–204. 19 indexed citations
3.
Ning, Kaida, Lu Zhao, Meredith Franklin, et al.. (2020). Parity is associated with cognitive function and brain age in both females and males. Scientific Reports. 10(1). 6100–6100. 47 indexed citations
4.
Ning, Kaida, Lu Zhao, William Matloff, Fengzhu Sun, & Arthur W. Toga. (2020). Association of relative brain age with tobacco smoking, alcohol consumption, and genetic variants. Scientific Reports. 10(1). 10–10. 108 indexed citations
5.
Matloff, William, et al.. (2020). Identification of Dysregulated Genes for Late-Onset Alzheimer's Disease Using Gene Expression Data in Brain.. PubMed. 10(6). 4 indexed citations
6.
Matloff, William, Lu Zhao, Kaida Ning, David V. Conti, & Arthur W. Toga. (2019). Interaction effect of alcohol consumption and Alzheimer disease polygenic risk score on the brain cortical thickness of cognitively normal subjects. Alcohol. 85. 1–12. 9 indexed citations
7.
Zhao, Lu, William Matloff, Kaida Ning, et al.. (2018). Age-Related Differences in Brain Morphology and the Modifiers in Middle-Aged and Older Adults. Cerebral Cortex. 29(10). 4169–4193. 48 indexed citations
8.
Ning, Kaida, Bo Chen, Fengzhu Sun, et al.. (2018). Classifying Alzheimer's disease with brain imaging and genetic data using a neural network framework. Neurobiology of Aging. 68. 151–158. 51 indexed citations
9.
Ning, Kaida, Kyle Gettler, Wei Zhang, et al.. (2015). Improved integrative framework combining association data with gene expression features to prioritize Crohn's disease genes. Human Molecular Genetics. 24(14). 4147–4157. 13 indexed citations
10.
Hedl, Matija, Amit Lahiri, Kaida Ning, Judy H. Cho, & Clara Abraham. (2014). Pattern Recognition Receptor Signaling in Human Dendritic Cells is Enhanced by ICOS Ligand and Modulated by the Crohn’s Disease ICOSLG Risk Allele. Immunity. 40(5). 734–746. 59 indexed citations
11.
Gathungu, Grace, Mi‐Ok Kim, John Ferguson, et al.. (2013). Granulocyte–Macrophage Colony-Stimulating Factor Autoantibodies. Inflammatory Bowel Diseases. 19(8). 1671–1680. 59 indexed citations
12.
Liu, Jun, Bin Wu, Shihong Zhang, et al.. (2013). Conserved epitopes dominate cross‐CD8+T‐cell responses against influenza A H1N1 virus among Asian populations. European Journal of Immunology. 43(8). 2055–2069. 32 indexed citations
13.
Zhang, Xuekui, Gordon Robertson, Martin Krzywinski, et al.. (2010). PICS: Probabilistic Inference for ChIP-seq. Biometrics. 67(1). 151–163. 56 indexed citations
14.
Chen, Xiaohong, Ming Chen, & Kaida Ning. (2006). BNArray: an R package for constructing gene regulatory networks from microarray data by using Bayesian network. Bioinformatics. 22(23). 2952–2954. 38 indexed citations

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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