Kan Zhai

3.3k total citations
60 papers, 1.3k citations indexed

About

Kan Zhai is a scholar working on Pulmonary and Respiratory Medicine, Immunology and Oncology. According to data from OpenAlex, Kan Zhai has authored 60 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Pulmonary and Respiratory Medicine, 17 papers in Immunology and 16 papers in Oncology. Recurrent topics in Kan Zhai's work include Pleural and Pulmonary Diseases (25 papers), Occupational and environmental lung diseases (11 papers) and Pneumocystis jirovecii pneumonia detection and treatment (9 papers). Kan Zhai is often cited by papers focused on Pleural and Pulmonary Diseases (25 papers), Occupational and environmental lung diseases (11 papers) and Pneumocystis jirovecii pneumonia detection and treatment (9 papers). Kan Zhai collaborates with scholars based in China and United States. Kan Zhai's co-authors include Huan‐Zhong Shi, Zhaohui Tong, Jie Ding, Yong Lu, Jiang Chang, Chen Wu, Dianke Yu, Wen Tan, Dongxin Lin and Qiong Zhou and has published in prestigious journals such as Nature Communications, Nature Genetics and The Journal of Immunology.

In The Last Decade

Kan Zhai

58 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kan Zhai China 21 404 389 269 240 238 60 1.3k
Anna Napoli Italy 16 299 0.7× 373 1.0× 207 0.8× 138 0.6× 202 0.8× 44 1.0k
Solange Romagnoli Italy 18 185 0.5× 239 0.6× 293 1.1× 240 1.0× 111 0.5× 35 1.0k
Anna E. Kossakowska Canada 13 184 0.5× 276 0.7× 384 1.4× 138 0.6× 237 1.0× 22 1.1k
Angela Shih United States 16 380 0.9× 195 0.5× 169 0.6× 203 0.8× 72 0.3× 48 917
Sabino Russi Italy 19 226 0.6× 254 0.7× 135 0.5× 288 1.2× 125 0.5× 45 1.3k
Hock-Liew Eng Taiwan 20 226 0.6× 274 0.7× 268 1.0× 159 0.7× 142 0.6× 49 1.1k
María Ortiz Spain 19 120 0.3× 648 1.7× 335 1.2× 201 0.8× 75 0.3× 59 1.2k
Deborah Belchis United States 20 341 0.8× 270 0.7× 195 0.7× 223 0.9× 87 0.4× 44 1.1k
Roshini Pradeep United States 10 494 1.2× 189 0.5× 148 0.6× 196 0.8× 54 0.2× 26 948

Countries citing papers authored by Kan Zhai

Since Specialization
Citations

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

Fields of papers citing papers by Kan Zhai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kan Zhai

This figure shows the co-authorship network connecting the top 25 collaborators of Kan Zhai. A scholar is included among the top collaborators of Kan Zhai 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 Kan Zhai. Kan Zhai 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, Yuxi, Ting Li, Chao Zhang, et al.. (2025). T‐cell subsets in Pneumocystis pneumonia. Clinical & Translational Immunology. 14(10). e70055–e70055.
2.
Wang, Feng, et al.. (2023). Macrophage-derived exosome promotes regulatory T cell differentiation in malignant pleural effusion. Frontiers in Immunology. 14. 1161375–1161375. 20 indexed citations
3.
Shao, Mingming, Kan Zhai, Yalan Liu, et al.. (2023). Characterization of the alternative splicing landscape in lung adenocarcinoma reveals novel prognosis signature associated with B cells. PLoS ONE. 18(7). e0279018–e0279018. 3 indexed citations
4.
Peng, Peng, et al.. (2022). T Cell Receptor Repertoire Analysis Reveals Signatures of T Cell Responses to Human Mycobacterium tuberculosis. Frontiers in Microbiology. 13. 829694–829694. 11 indexed citations
5.
Zhang, Jianchu, Juan Du, Qiong Zhou, et al.. (2021). Single-cell analysis of diverse immune phenotypes in malignant pleural effusion. Nature Communications. 12(1). 6690–6690. 40 indexed citations
6.
Wang, Yishan, et al.. (2021). Single-Cell TCR Sequencing Reveals the Dynamics of T Cell Repertoire Profiling During Pneumocystis Infection. Frontiers in Microbiology. 12. 637500–637500. 11 indexed citations
7.
Zhang, Chao, et al.. (2020). PD-1 Deficiency Promotes Macrophage Activation and T-Helper Cell Type 1/T-Helper Cell Type 17 Response in Pneumocystis Pneumonia. American Journal of Respiratory Cell and Molecular Biology. 62(6). 767–782. 23 indexed citations
8.
Zhang, Xin, Kan Zhai, Xinyu Shi, et al.. (2020). TSAd Plays a Major Role in Myo9b-Mediated Suppression of Malignant Pleural Effusion by Regulating TH1/TH17 Cell Response. The Journal of Immunology. 205(10). 2926–2935. 11 indexed citations
9.
Zhai, Kan, et al.. (2020). Helper T cells in malignant pleural effusion. Cancer Letters. 500. 21–28. 17 indexed citations
10.
Chang, Jiang, Jianbo Tian, Yang Yang, et al.. (2018). A Rare Missense Variant in TCF7L2 Associates with Colorectal Cancer Risk by Interacting with a GWAS-Identified Regulatory Variant in the MYC Enhancer. Cancer Research. 78(17). 5164–5172. 52 indexed citations
11.
Zhai, Kan, Jiang Chang, Jinlong Hu, Chen Wu, & Dongxin Lin. (2017). Germline variation in the 3′‐untranslated region of the POU2AF1 gene is associated with susceptibility to lymphoma. Molecular Carcinogenesis. 56(8). 1945–1952. 8 indexed citations
12.
Hu, Yang, Dong Wang, Kan Zhai, & Zhaohui Tong. (2016). Transcriptomic Analysis Reveals Significant B Lymphocyte Suppression in Corticosteroid-Treated Hosts with Pneumocystis Pneumonia. American Journal of Respiratory Cell and Molecular Biology. 56(3). 322–331. 24 indexed citations
13.
Zhou, Qiong, Hua Lin, Kan Zhai, et al.. (2016). Immune Regulation of Toll-Like Receptor 2 Engagement on CD4+ T Cells in Murine Models of Malignant Pleural Effusion. American Journal of Respiratory Cell and Molecular Biology. 56(3). 342–352. 9 indexed citations
14.
Liu, Yalan, et al.. (2015). Body Fluid Interferon-γ Release Assay for Diagnosis of Extrapulmonary Tuberculosis in Adults: A Systematic Review and Meta-Analysis. Scientific Reports. 5(1). 15284–15284. 20 indexed citations
15.
Cui, Ai, et al.. (2014). Diagnostic values of soluble mesothelin-related peptides for malignant pleural mesothelioma: updated meta-analysis. BMJ Open. 4(2). e004145–e004145. 57 indexed citations
16.
Zhai, Kan, et al.. (2014). HPV and lung cancer risk: A meta-analysis. Journal of Clinical Virology. 63. 84–90. 49 indexed citations
17.
Han, Wei, Yuling Zhou, Rong Zhong, et al.. (2013). Functional Polymorphisms in FAS/FASL System Increase the Risk of Neuroblastoma in Chinese Population. PLoS ONE. 8(8). e71656–e71656. 27 indexed citations
18.
Zhai, Kan, Xiaobo Tian, Chen Wu, et al.. (2012). Cytokine BAFF Gene Variation Is Associated with Survival of Patients with T-cell Lymphomas. Clinical Cancer Research. 18(8). 2250–2256. 10 indexed citations
19.
Xiong, Fang, Chen Wu, Jiang Chang, et al.. (2011). Genetic Variation in an miRNA-1827 Binding Site in MYCL1 Alters Susceptibility to Small-Cell Lung Cancer. Cancer Research. 71(15). 5175–5181. 60 indexed citations
20.
Zhai, Kan, Lihong Chang, Qingming Zhang, Benrong Liu, & Yuping Wu. (2011). Mitochondrial C150T polymorphism increases the risk of cervical cancer and HPV infection. Mitochondrion. 11(4). 559–563. 32 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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