Kenny Ye

20.9k total citations · 2 hit papers
129 papers, 6.7k citations indexed

About

Kenny Ye is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Kenny Ye has authored 129 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 30 papers in Genetics and 14 papers in Oncology. Recurrent topics in Kenny Ye's work include Genomic variations and chromosomal abnormalities (15 papers), Optimal Experimental Design Methods (14 papers) and Genetic Associations and Epidemiology (13 papers). Kenny Ye is often cited by papers focused on Genomic variations and chromosomal abnormalities (15 papers), Optimal Experimental Design Methods (14 papers) and Genetic Associations and Epidemiology (13 papers). Kenny Ye collaborates with scholars based in United States, Canada and Israel. Kenny Ye's co-authors include Jonathan Sebat, Michael Wigler, William Li, Jennifer Troge, Seungtai Yoon, B. Lakshmi, Agus Sudjianto, Joan Alexander, Andrew H. Reiner and John Healy and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Kenny Ye

122 papers receiving 6.5k citations

Hit Papers

Large-Scale Copy Number P... 2004 2026 2011 2018 2004 2011 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Large-Scale Copy Number Polymorphism in the Human Genome
    2004 1.8k citations Jonathan Sebat, Kenny Ye et al. profile →
  2. Rare De Novo and Transmitted Copy-Number Variation in Autistic Spectrum Disorders
    2011 484 citations Anthony Leotta, Kenny Ye et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kenny Ye 3.0k 2.8k 847 703 686 129 6.7k
Hilary K. Finucane 5.9k 1.9× 3.4k 1.2× 240 0.3× 512 0.7× 528 0.8× 45 11.4k
Oliver Stegle 2.7k 0.9× 10.4k 3.7× 1.8k 2.1× 118 0.2× 2.0k 2.9× 126 14.7k
Daniel L. Koller 949 0.3× 1.5k 0.5× 80 0.1× 239 0.3× 81 0.1× 75 6.5k
Paola Sebastiani 1.1k 0.4× 2.9k 1.0× 81 0.1× 67 0.1× 523 0.8× 229 8.6k
Sharon R. Grossman 1.1k 0.4× 2.4k 0.9× 311 0.4× 117 0.2× 524 0.8× 19 5.8k
Debashis Ghosh 1.1k 0.4× 6.3k 2.2× 118 0.1× 186 0.3× 1.9k 2.7× 244 11.2k
Sündüz Keleş 1.1k 0.4× 3.6k 1.3× 315 0.4× 198 0.3× 463 0.7× 135 6.0k
Tom Heskes 1.1k 0.4× 1.2k 0.4× 66 0.1× 867 1.2× 119 0.2× 230 5.9k
Jesper Tegnér 758 0.2× 3.8k 1.3× 105 0.1× 1.5k 2.1× 717 1.0× 173 7.9k
Peter N. Robinson 5.5k 1.8× 7.3k 2.6× 392 0.5× 109 0.2× 1.6k 2.4× 326 13.4k

Countries citing papers authored by Kenny Ye

Since Specialization
Citations

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

Fields of papers citing papers by Kenny Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenny Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Kenny Ye. A scholar is included among the top collaborators of Kenny 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 Kenny Ye. Kenny 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
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Khulan, Batbayar, Kenny Ye, Miao Shi, et al.. (2025). Normal bronchial field basal cells show persistent methylome-wide impact of tobacco smoking, including in known cancer genes. Epigenetics. 20(1). 2466382–2466382. 1 indexed citations
3.
Fleysher, Roman, Erica Weiss, Noa Tal, et al.. (2024). Hypothalamic MRI-derived microstructure is associated with neurocognitive aging in humans. Neurobiology of Aging. 141. 102–112. 1 indexed citations
4.
Ben‐Dov, Iddo Z., Kenny Ye, Christina Liu, et al.. (2024). Exhaled breath condensate contains extracellular vesicles (EVs) that carry miRNA cargos of lung tissue origin that can be selectively purified and analyzed. Journal of Extracellular Vesicles. 13(4). e12440–e12440. 13 indexed citations
5.
Choi, Jiahn, Michele Houston, Ruixuan Wang, et al.. (2023). Intestinal stem cell aging at single‐cell resolution: Transcriptional perturbations alter cell developmental trajectory reversed by gerotherapeutics. Aging Cell. 22(5). e13802–e13802. 16 indexed citations
6.
Chen, Duan, et al.. (2023). Coronary Calcium Predicts All-Cause Mortality in Suspected Acute Aortic Syndrome. Radiology Cardiothoracic Imaging. 5(3). e220188–e220188. 1 indexed citations
7.
Choi, Jiahn, et al.. (2023). Dynamic Intestinal Stem Cell Plasticity and Lineage Remodeling by a Nutritional Environment Relevant to Human Risk for Tumorigenesis. Molecular Cancer Research. 21(8). 808–824. 11 indexed citations
8.
Huang, Zhenqiu, Shixiang Sun, Moonsook Lee, et al.. (2022). Single-cell analysis of somatic mutations in human bronchial epithelial cells in relation to aging and smoking. Nature Genetics. 54(4). 492–498. 74 indexed citations
9.
Shuter, Jonathan, H. Dean Hosgood, Ryung S. Kim, et al.. (2021). Behavioral and Genetic Factors Associated with Successful Long-Term Cessation in Persons with HIV Who Smoke Cigarettes. The Journal of Smoking Cessation. 2021. 1894160–1894160. 1 indexed citations
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Gressel, Gregory M., et al.. (2020). Low molecular weight serum cell-free DNA concentration is associated with clinicopathologic indices of poor prognosis in women with uterine cancer. Journal of Translational Medicine. 18(1). 4 indexed citations
12.
Goldman, Inessa, Kenny Ye, & Meir H. Scheinfeld. (2020). Lower-extremity Arterial Thrombosis Associated with COVID-19 Is Characterized by Greater Thrombus Burden and Increased Rate of Amputation and Death. Radiology. 297(2). E263–E269. 86 indexed citations
13.
Cleven, Krystal L., Kenny Ye, Rachel Zeig‐Owens, et al.. (2019). Genetic Variants Associated with FDNY WTC-Related Sarcoidosis. International Journal of Environmental Research and Public Health. 16(10). 1830–1830. 22 indexed citations
14.
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Nomaru, Hiroko, Kenny Ye, Akira Nishi, et al.. (2015). Molecular Histochemistry Identifies Peptidomic Organization and Reorganization Along Striatal Projection Units. Biological Psychiatry. 79(5). 415–420. 6 indexed citations
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Zhao, Xiaoyue, Anthony Leotta, Vlad Kustanovich, et al.. (2007). A unified genetic theory for sporadic and inherited autism. Proceedings of the National Academy of Sciences. 104(31). 12831–12836. 223 indexed citations
18.
Ye, Kenny, et al.. (2006). A Complete Catalog of Geometrically Non-Isomorphic 18-run Orthogonal Arrays. 1 indexed citations
19.
Ye, Kenny. (2004). A NOTE ON REGULAR FRACTIONAL FACTORIAL DESIGNS. Statistica Sinica. 14(4). 1069–1074. 16 indexed citations
20.
Ye, Kenny. (1998). Orthogonal Column Latin Hypercubes and Their Application in Computer Experiments. Journal of the American Statistical Association. 93(444). 1430–1439. 310 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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