Kevin Yao

1.2k total citations · 1 hit paper
17 papers, 634 citations indexed

About

Kevin Yao is a scholar working on Oncology, Cancer Research and Materials Chemistry. According to data from OpenAlex, Kevin Yao has authored 17 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Cancer Research and 5 papers in Materials Chemistry. Recurrent topics in Kevin Yao's work include Cancer Genomics and Diagnostics (4 papers), Graphene research and applications (3 papers) and 2D Materials and Applications (3 papers). Kevin Yao is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), Graphene research and applications (3 papers) and 2D Materials and Applications (3 papers). Kevin Yao collaborates with scholars based in United States, Switzerland and United Arab Emirates. Kevin Yao's co-authors include Olga G. Troyanskaya, Aaron K. Wong, Jian Zhou, Chandra L. Theesfeld, Kathleen Chen, John J. Fak, Christopher Y. Park, Chao Cheng, Robert B. Darnell and Claudia Scheckel and has published in prestigious journals such as Nature Genetics, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Kevin Yao

17 papers receiving 625 citations

Hit Papers

align trajectories

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.

Deep learning sequence-based ab initio prediction of variant effects on expression and disease risk

2018 332 citations Jian Zhou, Chandra L. Theesfeld et al. Nature Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kevin Yao United States	8	397	187	81	71	51	17	634
Markéta Tomková United Kingdom	11	533 1.3×	99 0.5×	173 2.1×	95 1.3×	10 0.2×	24	823
Valentin Dinu United States	14	249 0.6×	136 0.7×	40 0.5×	53 0.7×	17 0.3×	32	550
Gülşah Altun United States	8	623 1.6×	101 0.5×	27 0.3×	37 0.5×	13 0.3×	22	746
Andrée Delahaye‐Duriez France	14	330 0.8×	199 1.1×	24 0.3×	24 0.3×	15 0.3×	25	592
Felipe Giuste United States	11	225 0.6×	44 0.2×	34 0.4×	94 1.3×	15 0.3×	36	519
Adam Scott United States	10	185 0.5×	103 0.6×	105 1.3×	21 0.3×	119 2.3×	16	465
Sunit Maity India	6	681 1.7×	206 1.1×	59 0.7×	40 0.6×	11 0.2×	10	817
Laksshman Sundaram United States	5	400 1.0×	207 1.1×	65 0.8×	34 0.5×	19 0.4×	5	549
Yongbin Chen China	11	233 0.6×	45 0.2×	94 1.2×	18 0.3×	53 1.0×	35	457

Countries citing papers authored by Kevin Yao

Since Specialization

Citations

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

Fields of papers citing papers by Kevin Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Yao

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

All Works

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17 of 17 papers shown

Yao, Kevin, et al.. (2022). Immune checkpoint gene VSIR predicts patient prognosis in acute myeloid leukemia and myelodysplastic syndromes. Cancer Medicine. 12(5). 5590–5602. 5 indexed citations

Yao, Kevin, Evelien Schaafsma, Baoyi Zhang, & Chao Cheng. (2022). Tumor cell intrinsic and extrinsic features predict prognosis in estrogen receptor positive breast cancer. PLoS Computational Biology. 18(3). e1009495–e1009495. 1 indexed citations

Zhao, Yanding, Yadong Dong, Hong Wei, et al.. (2022). Computational modeling of chromatin accessibility identified important epigenomic regulators. BMC Genomics. 23(1). 19–19. 1 indexed citations

Zhang, Baoyi, Kevin Yao, & Chao Cheng. (2022). Immune infiltration difference between tumour and adjacent normal regions is prognostic for gastric cancer patients. SHILAP Revista de lepidopterología. 2(1). 2 indexed citations

Yao, Kevin, et al.. (2022). A framework to predict the applicability of Oncotype DX, MammaPrint, and E2F4 gene signatures for improving breast cancer prognostic prediction. Scientific Reports. 12(1). 2211–2211. 10 indexed citations

Yao, Kevin, et al.. (2022). A B‐Raf V600E gene signature for melanoma predicts prognosis and reveals sensitivity to targeted therapies. Cancer Medicine. 11(4). 1232–1243. 4 indexed citations

Yao, Kevin, Yan Jiang, Arup Neogi, et al.. (2021). Structural Stability of Bilayer MoS₂ in Ambient Air. Advanced Materials Interfaces. 8(19). 10 indexed citations

Zhang, Baoyi, Kevin Yao, Min Xu, Jia Wu, & Chao Cheng. (2021). Deep Learning Predicts EBV Status in Gastric Cancer Based on Spatial Patterns of Lymphocyte Infiltration. Cancers. 13(23). 6002–6002. 10 indexed citations

Zhang, Baoyi, et al.. (2021). Chr20q Amplification Defines a Distinct Molecular Subtype of Microsatellite Stable Colorectal Cancer. Cancer Research. 81(8). 1977–1987. 22 indexed citations

10.

Yao, Kevin, Kelvin Wong, Xiaohui Yu, John Volpi, & Stephen T.C. Wong. (2021). An Intelligent Augmented Lifelike Avatar App for Virtual Physical Examination of Suspected Strokes. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. 1727–1730. 4 indexed citations

11.

Yao, Kevin, Yan Jiang, Arup Neogi, et al.. (2020). Growth of Monolayer MoS2 on Hydrophobic Substrates as a Novel and Feasible Method to Prevent the Ambient Degradation of Monolayer MoS2. MRS Advances. 5(52-53). 2707–2715. 1 indexed citations

12.

Yao, Kevin, Yan Jiang, Usha Philipose, et al.. (2019). Rapid ambient degradation of monolayer MoS ₂ after heating in air. 2D Materials. 7(1). 15024–15024. 17 indexed citations

13.

Zhou, Jian, Christopher Y. Park, Chandra L. Theesfeld, et al.. (2019). Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk. Nature Genetics. 51(6). 973–980. 170 indexed citations

14.

Yao, Kevin, et al.. (2019). Mechanism for etching of exfoliated graphene on substrates by low-energy electron irradiation from helium plasma electron sources. Journal of Vacuum Science & Technology A Vacuum Surfaces and Films. 37(2). 1 indexed citations

15.

Zhou, Jian, Chandra L. Theesfeld, Kevin Yao, et al.. (2018). Deep learning sequence-based ab initio prediction of variant effects on expression and disease risk. Nature Genetics. 50(8). 1171–1179. 332 indexed citations breakdown →

16.

Yao, Kevin, et al.. (2018). Effects of high-dosage focused electron-beam irradiation at energies ≤ 30 keV on graphene on SiO2. Applied Surface Science. 469. 325–330. 3 indexed citations

17.

Yao, Kevin, et al.. (2013). Evaluation of header metadata extraction approaches and tools for scientific PDF documents. KOPS (University of Konstanz). 385–386. 41 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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