Kaixiong Ye

2.7k total citations
49 papers, 1.3k citations indexed

About

Kaixiong Ye is a scholar working on Molecular Biology, Nutrition and Dietetics and Genetics. According to data from OpenAlex, Kaixiong Ye has authored 49 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 13 papers in Nutrition and Dietetics and 11 papers in Genetics. Recurrent topics in Kaixiong Ye's work include Fatty Acid Research and Health (9 papers), Genetic Associations and Epidemiology (6 papers) and Mitochondrial Function and Pathology (5 papers). Kaixiong Ye is often cited by papers focused on Fatty Acid Research and Health (9 papers), Genetic Associations and Epidemiology (6 papers) and Mitochondrial Function and Pathology (5 papers). Kaixiong Ye collaborates with scholars based in United States, China and U.S. Virgin Islands. Kaixiong Ye's co-authors include Zhenglong Gu, Yitang Sun, Alon Keinan, Jingqi Zhou, Jian Lü, Fei Ma, Yiqin Wang, Martin Picard, Ruoyu Zhang and J. Thomas Brenna and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Kaixiong Ye

43 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaixiong Ye United States 24 665 229 150 138 128 49 1.3k
Alessia Leone Italy 19 335 0.5× 139 0.6× 94 0.6× 89 0.6× 136 1.1× 41 1.1k
Theodorus B. M. Hakvoort Netherlands 24 791 1.2× 160 0.7× 73 0.5× 133 1.0× 275 2.1× 60 1.6k
Akira Yabuki Japan 20 416 0.6× 163 0.7× 76 0.5× 50 0.4× 286 2.2× 143 1.3k
Weiliang Huang United States 23 698 1.0× 164 0.7× 54 0.4× 134 1.0× 83 0.6× 69 1.3k
Laura L. Mitic United States 13 1.4k 2.0× 109 0.5× 134 0.9× 212 1.5× 360 2.8× 17 2.7k
Peng Zhou China 24 638 1.0× 93 0.4× 58 0.4× 84 0.6× 125 1.0× 86 1.4k
Xiaoming Ma China 20 706 1.1× 217 0.9× 50 0.3× 207 1.5× 86 0.7× 84 1.4k
Timothy E. Shutt Canada 26 1.8k 2.7× 161 0.7× 60 0.4× 139 1.0× 254 2.0× 59 2.3k
Linda Wu Australia 21 538 0.8× 277 1.2× 59 0.4× 45 0.3× 164 1.3× 46 1.9k
Shuo Han China 14 1.7k 2.5× 273 1.2× 129 0.9× 103 0.7× 525 4.1× 25 2.4k

Countries citing papers authored by Kaixiong Ye

Since Specialization
Citations

This map shows the geographic impact of Kaixiong Ye'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 Kaixiong Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaixiong Ye more than expected).

Fields of papers citing papers by Kaixiong Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kaixiong Ye. 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 Kaixiong Ye. The network helps show where Kaixiong Ye may publish in the future.

Co-authorship network of co-authors of Kaixiong Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Kaixiong Ye. A scholar is included among the top collaborators of Kaixiong Ye 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 Kaixiong Ye. Kaixiong Ye 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.
Sun, Yitang, Suhang Song, Nikhil K. Khankari, et al.. (2024). Associations of plasma omega‐6 and omega‐3 fatty acids with overall and 19 site‐specific cancers: A population‐based cohort study in UK Biobank. International Journal of Cancer. 156(6). 1154–1172. 5 indexed citations
2.
3.
Kong, Qing, Shiyu Xia, Xingxin Pan, et al.. (2023). Alternative splicing of GSDMB modulates killer lymphocyte–triggered pyroptosis. Science Immunology. 8(82). eadg3196–eadg3196. 57 indexed citations
4.
5.
Lei, Man‐Kit, Steven R. H. Beach, Ronald L. Simons, & Kaixiong Ye. (2021). The Impact of Harsh Parenting on the Development of Obesity in Adulthood: An Examination of Epigenetic/Gene Expression Mediators Among African American Youth. Frontiers in Cardiovascular Medicine. 8. 755458–755458. 1 indexed citations
6.
Li, Changwei, Yitang Sun, Jingqi Zhou, et al.. (2021). Genome-wide association study of fish oil supplementation on lipid traits in 81,246 individuals reveals new gene-diet interaction loci. PLoS Genetics. 17(3). e1009431–e1009431. 16 indexed citations
7.
Zhou, Jingqi, Yitang Sun, Weishan Huang, & Kaixiong Ye. (2021). Altered Blood Cell Traits Underlie a Major Genetic Locus of Severe COVID-19. The Journals of Gerontology Series A. 76(8). e147–e154. 10 indexed citations
8.
Wang, Yiqin, Xiaoxian Guo, Kaixiong Ye, Michael Orth, & Zhenglong Gu. (2021). Accelerated expansion of pathogenic mitochondrial DNA heteroplasmies in Huntington’s disease. Proceedings of the National Academy of Sciences. 118(30). 30 indexed citations
9.
Li, Changwei, Adrianna Westbrook, Ruiyuan Zhang, et al.. (2021). Abstract MP08: Whole Exome Sequencing Study Identified A Novel Variant For Kidney Function And Progression Of Chronic Kidney Disease. Circulation. 143(Suppl_1).
10.
Zhou, Jingqi, Chang Liu, Yitang Sun, et al.. (2020). The Causal Effects of Blood Iron and Copper on Lipid Metabolism Diseases: Evidence from Phenome-Wide Mendelian Randomization Study. Nutrients. 12(10). 3174–3174. 29 indexed citations
11.
Sun, Yitang, Jingqi Zhou, & Kaixiong Ye. (2020). White Blood Cells and Severe COVID-19: A Mendelian Randomization Study. SSRN Electronic Journal. 2 indexed citations
12.
Beach, Steven R. H., Man‐Kit Lei, Eric T. Klopack, et al.. (2020). Childhood adversity is linked to adult health among African Americans via adolescent weight gain and effects are genetically moderated. Development and Psychopathology. 33(3). 803–820. 7 indexed citations
13.
Zhou, Jingqi, Chang Liu, Yitang Sun, Weishan Huang, & Kaixiong Ye. (2020). Cognitive disorders associated with hospitalization of COVID-19: Results from an observational cohort study. Brain Behavior and Immunity. 91. 383–392. 41 indexed citations
14.
Meng, Yuan, Xiaobing Chen, Yitang Sun, et al.. (2020). ZDHHC12-mediated claudin-3 S-palmitoylation determines ovarian cancer progression. Acta Pharmaceutica Sinica B. 10(8). 1426–1439. 51 indexed citations
15.
Fragoza, Robert, Jishnu Das, Shayne D. Wierbowski, et al.. (2019). Extensive disruption of protein interactions by genetic variants across the allele frequency spectrum in human populations. Nature Communications. 10(1). 4141–4141. 45 indexed citations
16.
Xu, Lin, Lin Xu, Kaixiong Ye, et al.. (2019). Comparative Genomic Insights into Secondary Metabolism Biosynthetic Gene Cluster Distributions of Marine Streptomyces. Marine Drugs. 17(9). 498–498. 33 indexed citations
17.
Billing-Ross, Paul, Arnaud Germain, Kaixiong Ye, et al.. (2016). Mitochondrial DNA variants correlate with symptoms in myalgic encephalomyelitis/chronic fatigue syndrome. Journal of Translational Medicine. 14(1). 19–19. 45 indexed citations
18.
Hanson, Maureen R., Zhenglong Gu, Alon Keinan, et al.. (2016). Association of mitochondrial DNA variants with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) symptoms. Journal of Translational Medicine. 14(1). 342–342. 4 indexed citations
19.
Ye, Kaixiong, Jian Lü, Fei Ma, Alon Keinan, & Zhenglong Gu. (2014). Extensive pathogenicity of mitochondrial heteroplasmy in healthy human individuals. Proceedings of the National Academy of Sciences. 111(29). 10654–10659. 192 indexed citations
20.
Ye, Kaixiong, et al.. (2014). Diminishing returns in next-generation sequencing (NGS) transcriptome data. Gene. 557(1). 82–87. 26 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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