Kai Yang

2.8k total citations
127 papers, 2.1k citations indexed

About

Kai Yang is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kai Yang has authored 127 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 26 papers in Cancer Research and 20 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kai Yang's work include Metabolomics and Mass Spectrometry Studies (13 papers), RNA modifications and cancer (12 papers) and Cancer-related molecular mechanisms research (10 papers). Kai Yang is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (13 papers), RNA modifications and cancer (12 papers) and Cancer-related molecular mechanisms research (10 papers). Kai Yang collaborates with scholars based in China, United States and Canada. Kai Yang's co-authors include Liping Xie, Qiqi Mao, Xiangyi Zheng, Kang Li, Yan Hou, Jie Qin, Yiwei Lin, Yu Bai, Huafeng Shen and Chaofu Ke and has published in prestigious journals such as Circulation, PLoS ONE and Analytical Chemistry.

In The Last Decade

Kai Yang

119 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Yang China 26 1.0k 593 265 263 206 127 2.1k
Yuqing Yang China 32 1.5k 1.4× 331 0.6× 320 1.2× 220 0.8× 288 1.4× 121 2.7k
Wenjie Li China 27 1.2k 1.1× 799 1.3× 398 1.5× 503 1.9× 233 1.1× 192 2.8k
Kai Cui China 27 969 0.9× 681 1.1× 342 1.3× 293 1.1× 218 1.1× 142 2.3k
Jian Shen China 27 940 0.9× 433 0.7× 336 1.3× 222 0.8× 228 1.1× 110 2.1k
Chris Watson United Kingdom 31 1.1k 1.1× 415 0.7× 271 1.0× 412 1.6× 284 1.4× 138 3.8k
Hui Huang China 28 870 0.9× 271 0.5× 316 1.2× 274 1.0× 307 1.5× 187 2.7k
Jing Xu China 29 1.4k 1.4× 295 0.5× 179 0.7× 139 0.5× 187 0.9× 116 2.9k
Na Wang China 22 776 0.8× 524 0.9× 173 0.7× 331 1.3× 149 0.7× 151 2.1k

Countries citing papers authored by Kai Yang

Since Specialization
Citations

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

Fields of papers citing papers by Kai Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Yang. A scholar is included among the top collaborators of Kai Yang 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 Yang. Kai Yang 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.
Chen, Xing, Qiyong Lou, Wei Hu, et al.. (2025). WATER TEMPERATURE ON GROWTH AND LIPID METABOLISM IN CHINESE MANDARIN FISH. Acta Hydrobiologica Sinica. 49(10). 102512–122.
2.
Gong, Hao, et al.. (2024). Early peripheral perfusion index predicts 28-day outcome in patients with septic shock. World Journal of Emergency Medicine. 15(5). 372–372. 2 indexed citations
3.
Mei, Jie, Yun Cai, Ying Jiang, et al.. (2024). High B7-H3 expression with low PD-L1 expression identifies armored-cold tumors in triple-negative breast cancer. npj Breast Cancer. 10(1). 11–11. 25 indexed citations
4.
Yang, Kai, et al.. (2024). Construction and validation of a necroptosis-related prognostic signature in acute myeloid leukemia. Medicine. 103(22). e38432–e38432. 1 indexed citations
5.
Guo, Qingyuan, Cheng Ding, Q.W. Meng, et al.. (2024). Abundance, characteristics and ecological risks of microplastics from South Yellow Sea Mudflat. The Science of The Total Environment. 950. 175374–175374. 5 indexed citations
6.
7.
Jiang, Lingxiang, Matthew W. Boudreau, Jiangwei Wang, et al.. (2023). Isopentyl-Deoxynboquinone Induces Mitochondrial Dysfunction and G2/M Phase Cell Cycle Arrest to Selectively Kill NQO1 -Positive Pancreatic Cancer Cells. Antioxidants and Redox Signaling. 41(1-3). 74–92. 4 indexed citations
8.
Yang, Kai, Yuqiong Yang, Yan Kang, et al.. (2022). The value of radiomic features in chronic obstructive pulmonary disease assessment: a prospective study. Clinical Radiology. 77(6). e466–e472. 11 indexed citations
9.
Wang, Fengyan, Zhenyu Liang, Jinling Wang, et al.. (2022). Correlations of Computed Tomography Measurement of Distal Pulmonary Vascular Pruning with Airflow Limitation and Emphysema in COPD Patients. International Journal of COPD. Volume 17. 2241–2252. 2 indexed citations
10.
Chen, Shuyu, Li Yu, Kai Yang, et al.. (2022). Early IL-17A Prevention Rather Than Late IL-17A Neutralization Attenuates Toluene Diisocyanate-Induced Mixed Granulocytic Asthma. Allergy Asthma and Immunology Research. 14(5). 528–528. 2 indexed citations
11.
Allen, Brandon R., Robert H. Christenson, Richard M. Nowak, et al.. (2021). Diagnostic Performance of High-Sensitivity Cardiac Troponin T Strategies and Clinical Variables in a Multisite US Cohort. Circulation. 143(17). 1659–1672. 41 indexed citations
12.
Xu, Xinghua, Jiashu Zhang, Kai Yang, et al.. (2021). Prognostic prediction of hypertensive intracerebral hemorrhage using CT radiomics and machine learning. Brain and Behavior. 11(5). e02085–e02085. 47 indexed citations
13.
Cao, Xinhui, Kai Yang, Ming‐Xing Liang, et al.. (2021). Variation of Long Non-Coding RNA And mRNA Profiles in Breast Cancer Cells With Influences of Adipocytes. Frontiers in Oncology. 11. 631551–631551. 3 indexed citations
14.
Zhang, Fan, Yuanyuan Zhang, Chaofu Ke, et al.. (2018). Predicting ovarian cancer recurrence by plasma metabolic profiles before and after surgery. Metabolomics. 14(5). 65–65. 21 indexed citations
15.
Yang, Kai, Fan Zhang, Peng Han, et al.. (2018). Metabolomics approach for predicting response to neoadjuvant chemotherapy for colorectal cancer. Metabolomics. 14(9). 110–110. 24 indexed citations
16.
Peng, Guoping, Kai Yang, Huiping Chen, et al.. (2015). [Recent HIV infection among men who have sex with men in Hubei, 2010-2013].. PubMed. 36(2). 162–6. 2 indexed citations
17.
Zhu, Gongjian, Lan Wang, Hongyun Guo, et al.. (2015). DNA Repair Genes XRCC1 and ERCC1 Polymorphisms and the Risk of Sporadic Breast Cancer in Han Women in the Gansu Province of China. Genetic Testing and Molecular Biomarkers. 19(7). 387–393. 9 indexed citations
18.
Zhang, Haiyu, Tingting Ge, Xiaoming Cui, et al.. (2014). Prediction of advanced ovarian cancer recurrence by plasma metabolic profiling. Molecular BioSystems. 11(2). 516–521. 21 indexed citations
19.
Yang, Kai, Chang Lu, Liang Cao, et al.. (2013). A comparative study on the pharmacokinetics of a traditional Chinese herbal preparation with the single herb extracts in rats by LC–MS/MS method. Journal of Pharmaceutical and Biomedical Analysis. 81-82. 34–43. 42 indexed citations
20.
Bai, Yu, Qiqi Mao, Jie Qin, et al.. (2009). Resveratrol induces apoptosis and cell cycle arrest of human T24 bladder cancer cells in vitro and inhibits tumor growth in vivo. Cancer Science. 101(2). 488–493. 162 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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