Kai Yu

2.6k total citations · 1 hit paper
56 papers, 1.3k citations indexed

About

Kai Yu is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kai Yu has authored 56 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 11 papers in Cancer Research and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kai Yu's work include Ferroptosis and cancer prognosis (7 papers), Machine Learning in Bioinformatics (6 papers) and Software Testing and Debugging Techniques (6 papers). Kai Yu is often cited by papers focused on Ferroptosis and cancer prognosis (7 papers), Machine Learning in Bioinformatics (6 papers) and Software Testing and Debugging Techniques (6 papers). Kai Yu collaborates with scholars based in China, United States and Hong Kong. Kai Yu's co-authors include Zexian Liu, Rui‐Hua Xu, Huai‐Qiang Ju, Qi Zhao, Zekun Liu, Han Cheng, Jin‐Fei Lin, Xiao-Long Zhang, Junzhong Lin and Qi‐Nian Wu and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of the American Statistical Association.

In The Last Decade

Kai Yu

51 papers receiving 1.3k citations

Hit Papers

Phosphorylated NFS1 weakens oxaliplatin-based chemosensit... 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Yu China 20 868 377 293 137 122 56 1.3k
Fathi Elloumi United States 16 603 0.7× 312 0.8× 116 0.4× 403 2.9× 89 0.7× 29 1.1k
Xinyi Zhang China 19 434 0.5× 128 0.3× 109 0.4× 276 2.0× 194 1.6× 110 1.4k
Shuguang Huang United States 19 655 0.8× 205 0.5× 77 0.3× 221 1.6× 71 0.6× 66 1.2k
Heng Li China 25 1.2k 1.4× 936 2.5× 315 1.1× 185 1.4× 87 0.7× 91 2.0k
Shulin Zhou China 23 470 0.5× 347 0.9× 88 0.3× 86 0.6× 71 0.6× 105 1.7k
Fan Xia China 24 614 0.7× 144 0.4× 281 1.0× 540 3.9× 233 1.9× 115 1.9k
Sarika Jain India 13 252 0.3× 181 0.5× 123 0.4× 196 1.4× 46 0.4× 66 778
Stephen Piccolo United States 20 757 0.9× 282 0.7× 152 0.5× 182 1.3× 58 0.5× 67 1.2k
Sven Laur Estonia 11 509 0.6× 246 0.7× 144 0.5× 72 0.5× 76 0.6× 27 1.1k
Éva Latulippe Canada 11 1.7k 1.9× 553 1.5× 618 2.1× 380 2.8× 91 0.7× 21 2.5k

Countries citing papers authored by Kai Yu

Since Specialization
Citations

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

Fields of papers citing papers by Kai Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Yu. A scholar is included among the top collaborators of Kai Yu 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 Kai Yu. Kai Yu 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.
Yu, Kai, Yu Cao, Xiaodong Zeng, et al.. (2025). Deep Learning Enhanced Near Infrared-II Imaging and Image-Guided Small Interfering Ribonucleic Acid Therapy of Ischemic Stroke. ACS Nano. 19(10). 10323–10336. 9 indexed citations
2.
Zheng, Yongqiang, Kai Yu, Jin‐Fei Lin, et al.. (2025). Deep learning prioritizes cancer mutations that alter protein nucleocytoplasmic shuttling to drive tumorigenesis. Nature Communications. 16(1). 2511–2511. 1 indexed citations
4.
Ye, Yingze, Kai Yu, Wei Hu, et al.. (2024). Ratiometric two-photon fluorescent probe for imaging hydrogen peroxide during stroke-induced ferroptosis. Sensors and Actuators B Chemical. 417. 136064–136064. 7 indexed citations
5.
Yu, Kai, Xiaodong Zeng, Xiaoxing Xiong, et al.. (2024). Near-Infrared II Fluorescence Imaging and Image-Guided siRNA Therapy of Atherosclerosis. Journal of Medicinal Chemistry. 67(14). 12428–12438. 18 indexed citations
6.
Wu, Qi‐Nian, Ze-Kun Liu, Xiaojing Luo, et al.. (2024). HIPK3 maintains sensitivity to platinum drugs and prevents disease progression in gastric cancer. Cancer Letters. 584. 216643–216643. 7 indexed citations
7.
Yu, Xue, et al.. (2023). Integrated Analysis Identifies Upregulated SAMD9L as a Potential Biomarker Correlating with the Severity of Primary Sjögren’s Syndrome. Journal of Inflammation Research. Volume 16. 3725–3738. 3 indexed citations
8.
Wang, Xia, Bo Liu, Haijun Liu, et al.. (2023). Potential roles of IFI44 genes in high resistance to Vibrio in hybrids of Argopecten scallops. Fish & Shellfish Immunology. 135. 108702–108702. 1 indexed citations
9.
Zheng, Yongqiang, Jiayuan Chen, Kai Yu, et al.. (2022). Endoscopic excision as a viable alternative to major resection for early duodenal cancers: A population-based cohort study. International Journal of Surgery. 101. 106644–106644. 6 indexed citations
10.
Zheng, Yongqiang, Jiayuan Chen, Zhihao Wei, et al.. (2022). Prevalence and outcomes of transurethral resection versus radical cystectomy for muscle-infiltrating bladder cancer in the United States: A population-based cohort study. International Journal of Surgery. 103. 106693–106693. 6 indexed citations
11.
Yu, Kai, Yulong Ji, Min Liu, et al.. (2022). High Expression of CKS2 Predicts Adverse Outcomes: A Potential Therapeutic Target for Glioma. Frontiers in Immunology. 13. 881453–881453. 12 indexed citations
12.
Yu, Kai, Guandi Wu, Jian Zheng, et al.. (2021). pCysMod: Prediction of Multiple Cysteine Modifications Based on Deep Learning Framework. Frontiers in Cell and Developmental Biology. 9. 617366–617366. 38 indexed citations
13.
Ruan, Dan‐Yun, Ting Li, Yingnan Wang, et al.. (2021). FTO downregulation mediated by hypoxia facilitates colorectal cancer metastasis. Oncogene. 40(33). 5168–5181. 116 indexed citations
14.
Yu, Kai, Yuanshan Liu, Fengqing Song, et al.. (2021). Sodium–Glucose Co-Transporter 2 Inhibition With Empagliflozin Improves Cardiac Function After Cardiac Arrest in Rats by Enhancing Mitochondrial Energy Metabolism. Frontiers in Pharmacology. 12. 758080–758080. 24 indexed citations
15.
Liu, Zekun, Qi Zhao, Zhixiang Zuo, et al.. (2020). Systematic Analysis of the Aberrances and Functional Implications of Ferroptosis in Cancer. iScience. 23(7). 101302–101302. 163 indexed citations
16.
Zheng, Shaoquan, Yutian Zou, Xinhua Xie, et al.. (2020). Development and validation of a stromal immune phenotype classifier for predicting immune activity and prognosis in triple‐negative breast cancer. International Journal of Cancer. 147(2). 542–553. 43 indexed citations
17.
Zhang, Qingbin, et al.. (2018). Prediction of prkC-mediated protein serine/threonine phosphorylation sites for bacteria. PLoS ONE. 13(10). e0203840–e0203840. 7 indexed citations
18.
Liang, Faming, Qifan Song, & Kai Yu. (2013). Bayesian Subset Modeling for High-Dimensional Generalized Linear Models. Journal of the American Statistical Association. 108(502). 589–606. 46 indexed citations
19.
Zhang, Xiangyu, Mengxiang Lin, & Kai Yu. (2012). An integrated bug processing framework. International Conference on Software Engineering. 1469–1470.
20.
Wang, Yan, et al.. (2007). Correcting SINS gyro drift in winged missile by star sensor. Journal of Chinese Inertial Technology. 550–554. 1 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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