Kai Kang

518 total citations
33 papers, 323 citations indexed

About

Kai Kang is a scholar working on Surgery, Molecular Biology and Immunology. According to data from OpenAlex, Kai Kang has authored 33 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 10 papers in Molecular Biology and 8 papers in Immunology. Recurrent topics in Kai Kang's work include Tissue Engineering and Regenerative Medicine (6 papers), Electrospun Nanofibers in Biomedical Applications (4 papers) and Cardiac Structural Anomalies and Repair (3 papers). Kai Kang is often cited by papers focused on Tissue Engineering and Regenerative Medicine (6 papers), Electrospun Nanofibers in Biomedical Applications (4 papers) and Cardiac Structural Anomalies and Repair (3 papers). Kai Kang collaborates with scholars based in China, United States and Canada. Kai Kang's co-authors include Shulin Jiang, Xie Baodong, Haifeng Zhao, Jianzhong Li, Yonggang Cao, Hua Wu, Xun Wang, Xueying Sun, Feng Zhang and Liquan Tong and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Biomaterials.

In The Last Decade

Kai Kang

28 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kai Kang China	12	124	104	52	44	39	33	323
Hirotoki Ohkubo Japan	12	81 0.7×	122 1.2×	65 1.3×	29 0.7×	20 0.5×	14	415
Shin-ichiro Okizaki Japan	8	76 0.6×	53 0.5×	38 0.7×	29 0.7×	19 0.5×	10	347
Andrezza V. Belo Brazil	12	110 0.9×	41 0.4×	61 1.2×	14 0.3×	17 0.4×	17	325
Hyuck Chan Kwon South Korea	8	82 0.7×	80 0.8×	56 1.1×	11 0.3×	52 1.3×	15	421
Agnieszka Malińska Poland	12	83 0.7×	107 1.0×	22 0.4×	6 0.1×	17 0.4×	45	334
Chengshu Tu China	4	192 1.5×	83 0.8×	45 0.9×	15 0.3×	130 3.3×	6	351
Xiongtao Liu China	12	165 1.3×	112 1.1×	128 2.5×	56 1.3×	17 0.4×	28	524
Yuming Mu China	14	80 0.6×	73 0.7×	8 0.2×	37 0.8×	25 0.6×	49	433

Countries citing papers authored by Kai Kang

Since Specialization

Citations

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

Fields of papers citing papers by Kai Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Kang

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

All Works

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20 of 20 papers shown

Zhang, Yu, et al.. (2025). High-rate LiFe0.75Mn0.25PO4/C cathode material for lithium-ion battery was prepared by oriented growth of precursor crystal plane. Journal of Colloid and Interface Science. 691. 137436–137436. 1 indexed citations

Kang, Kai, et al.. (2025). C1QBP Drives M2 Macrophage Polarization Via TRAF2-CCL2 to Promote Oral Squamous Cell Carcinoma Progression. International Dental Journal. 75(6). 103938–103938.

Zheng, Yue, Pengfei Zhou, Hui Wang, et al.. (2025). Stimulator of Interferon Genes Agonist Synergistically Amplifies Programmed Cell Death Protein-1 Blockade and Radiation-Induced Systemic Antitumor Responses via Tumor Microenvironment Enrichment. International Journal of Radiation Oncology*Biology*Physics. 123(2). 536–549. 1 indexed citations

Chen, Jiahui, Kai Kang, Xinyue Wang, et al.. (2025). Development of Radiomics-Based Risk Prediction Models for Stages of Hashimoto’s Thyroiditis Using Ultrasound, Clinical, and Laboratory Factors. Ultrasound in Medicine & Biology. 51(9). 1529–1536.

Zhang, Hailin, Qiong Su, Xiaoyan Lin, et al.. (2025). Caffeine Intake Attenuates the Association of Cadmium Exposure with Cardiovascular Disease: National Health and Nutrition Examination Survey (NHANES) 2003–2016. Cardiovascular Toxicology. 25(10). 1506–1522.

Xuan, Lina, Jun Chen, Hua Yang, et al.. (2025). CircRNA CDR1AS promotes cardiac ischemia–reperfusion injury in mice by triggering cardiomyocyte autosis. Journal of Molecular Medicine. 103(2). 219–237. 2 indexed citations

Su, Jingjing, et al.. (2022). Identification of Key Genes Associated with Endothelial Cell Dysfunction in Atherosclerosis Using Multiple Bioinformatics Tools. BioMed Research International. 2022(1). 5544276–5544276. 3 indexed citations

Xu, Xiufeng, Shuai Mao, Jie Hao, et al.. (2021). Identification of tRNA-derived Fragments and Their Potential Roles in Atherosclerosis. Current Medical Science. 41(4). 712–721. 19 indexed citations

Jiao, Min, Jingtian Li, Quan Zhang, et al.. (2020). Identification of Four Potential Biomarkers Associated With Coronary Artery Disease in Non-diabetic Patients by Gene Co-expression Network Analysis. Frontiers in Genetics. 11. 542–542. 16 indexed citations

10.

Kang, Kai, Jingtian Li, Ruidong Li, et al.. (2019). Potentially Critical Roles of NDUFB5 , TIMMDC1 , and VDAC3 in the Progression of Septic Cardiomyopathy Through Integrated Bioinformatics Analysis. DNA and Cell Biology. 39(1). 105–117. 9 indexed citations

11.

Kang, Kai, Xie Baodong, Jianzhong Li, et al.. (2019). Mesenchymal Stromal Cells from Patients with Cyanotic Congenital Heart Disease are Optimal Candidate for Cardiac Tissue Engineering. Biomaterials. 230. 119574–119574. 16 indexed citations

12.

Qü, Hui, Xie Baodong, Jian Wu, et al.. (2018). Improved Left Ventricular Aneurysm Repair with Cell- and Cytokine-Seeded Collagen Patches. Stem Cells International. 2018. 1–16. 7 indexed citations

13.

Wu, Hua, Jianzhong Li, Xie Baodong, et al.. (2018). Lower Senescence of Adipose-Derived Stem Cells than Donor-Matched Bone Marrow Stem Cells for Surgical Ventricular Restoration. Stem Cells and Development. 27(9). 612–623. 16 indexed citations

14.

Liu, Xianglan, Yong Sun, Yang Zheng, et al.. (2018). Administration of Interleukin-35-Conditioned Autologous Tolerogenic Dendritic Cells Prolong Allograft Survival After Heart Transplantation. Cellular Physiology and Biochemistry. 49(3). 1221–1237. 6 indexed citations

15.

Gao, Yang, Kaijiang Yu, Kai Kang, et al.. (2017). Procalcitionin as a diagnostic marker to distinguish upper and lower gastrointestinal perforation. World Journal of Gastroenterology. 23(24). 4422–4422. 4 indexed citations

16.

Sun, Yong, Kai Kang, Maomao Zhang, et al.. (2016). Cadaveric cardiosphere-derived cells can maintain regenerative capacity and improve the heart function of cardiomyopathy. Cell Cycle. 15(9). 1248–1256. 7 indexed citations

17.

Zhang, Mingming, Hongbo Mu, Zhenwei Shang, et al.. (2016). Genome-wide pathway-based association analysis identifies risk pathways associated with Parkinson’s disease. Neuroscience. 340. 398–410. 18 indexed citations

18.

Kang, Kai, Xun Wang, Yonggang Cao, et al.. (2014). Carvacrol Alleviates Ischemia Reperfusion Injury by Regulating the PI3K-Akt Pathway in Rats. PLoS ONE. 9(8). e104043–e104043. 40 indexed citations

19.

Wang, Chunxiao, et al.. (2011). Biosynthesis of a novel recombinant peptide derived from hPTH(1–34). Protein Expression and Purification. 79(1). 156–163. 5 indexed citations

20.

Huang, Xueyong, Guohua Liu, Haomin Chen, et al.. (2010). Seroepidemiological study of enterovirus 71 in Henan Province.. Journal of Pathogen Biology. 5(8). 617–639. 2 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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