Kai Yan

1.9k total citations
47 papers, 1.1k citations indexed

About

Kai Yan is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Kai Yan has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 10 papers in Immunology and 5 papers in Epidemiology. Recurrent topics in Kai Yan's work include Genomics and Chromatin Dynamics (7 papers), Epigenetics and DNA Methylation (7 papers) and Immune Cell Function and Interaction (4 papers). Kai Yan is often cited by papers focused on Genomics and Chromatin Dynamics (7 papers), Epigenetics and DNA Methylation (7 papers) and Immune Cell Function and Interaction (4 papers). Kai Yan collaborates with scholars based in China, United States and Canada. Kai Yan's co-authors include Alexandros Tzatsos, Jaclyn Andricovich, Weiqun Peng, Jiang Hu, Ji Lei, Reginald M. Gorczynski, Reginald M. Gorczynski, Guo‐Cheng Yuan, Stuart H. Orkin and Adlen Foudi and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Nature Genetics.

In The Last Decade

Kai Yan

45 papers receiving 1.1k 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 Yan China 20 607 187 176 126 104 47 1.1k
Cláudia Silva Portugal 14 386 0.6× 259 1.4× 219 1.2× 124 1.0× 84 0.8× 41 1.1k
Vivian Gama United States 22 892 1.5× 135 0.7× 202 1.1× 106 0.8× 145 1.4× 51 1.3k
Hemn Mohammadpour United States 19 335 0.6× 328 1.8× 316 1.8× 87 0.7× 47 0.5× 62 1.2k
Jung Jae Ko South Korea 21 937 1.5× 236 1.3× 73 0.4× 200 1.6× 81 0.8× 68 2.3k
Thomas Carroll United States 15 655 1.1× 346 1.9× 107 0.6× 172 1.4× 65 0.6× 22 1.1k
Alberto Termanini Italy 12 1.1k 1.7× 690 3.7× 137 0.8× 169 1.3× 88 0.8× 16 1.6k
Robert Nechanitzky Canada 10 452 0.7× 282 1.5× 87 0.5× 75 0.6× 34 0.3× 13 858
Patrick T. Reilly United States 18 820 1.4× 133 0.7× 126 0.7× 128 1.0× 86 0.8× 34 1.1k
Erika Ortolan Italy 18 483 0.8× 470 2.5× 353 2.0× 57 0.5× 145 1.4× 31 1.6k
Meng Lin China 20 596 1.0× 407 2.2× 140 0.8× 137 1.1× 131 1.3× 33 1.1k

Countries citing papers authored by Kai Yan

Since Specialization
Citations

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

Fields of papers citing papers by Kai Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Yan. A scholar is included among the top collaborators of Kai Yan 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 Yan. Kai Yan 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.
Yan, Kai & Zhongdang Xiao. (2025). Enhancing the antitumor activity of CD19/BCMA CAR-T cells in vitro with a PD1IL7R chimeric switch receptor. Cellular Immunology. 415-416. 105001–105001. 1 indexed citations
2.
Yan, Kai, et al.. (2024). Exploration of Diagnostic Deubiquitinating Enzymes in Endometriosis and Its Immune Infiltration. Biochemical Genetics. 62(6). 4359–4379.
3.
Yu, Lijia, Chunmin Zhang, Qicai Liu, et al.. (2023). Analysis of serum metabolome of laborers exposure to welding fume. International Archives of Occupational and Environmental Health. 96(7). 1029–1037. 2 indexed citations
4.
Yan, Kai, Nan Liu, Stuart H. Orkin, & Guo‐Cheng Yuan. (2023). Identifying quantitatively differential chromosomal compartmentalization changes and their biological significance from Hi-C data using DARIC. BMC Genomics. 24(1). 614–614. 1 indexed citations
5.
Yan, Kai, et al.. (2023). Characterization and phylogenetic analyses of ten complete plastomes of Spiraea species. BMC Genomics. 24(1). 137–137. 5 indexed citations
6.
Xiao, Feifan, Meiling Tang, Kai Yan, & Wenhao Zhou. (2022). Clinical features of infants with SARS-CoV-2 infection: a systematic review and meta-analysis. Annals of Palliative Medicine. 11(11). 3394–3408. 4 indexed citations
7.
Zhu, Han, et al.. (2022). Immobilization for Lipase: Enhanced Activity and Stability by Flexible Combination and Solid Support. Applied Biochemistry and Biotechnology. 194(12). 5963–5976. 6 indexed citations
8.
Liu, Nan, Shuqian Xu, Qiuming Yao, et al.. (2021). Transcription factor competition at the γ-globin promoters controls hemoglobin switching. Nature Genetics. 53(4). 511–520. 57 indexed citations
9.
Ji, Hye Young, Kai Yan, Qian Zhu, et al.. (2021). Inner nuclear protein Matrin-3 coordinates cell differentiation by stabilizing chromatin architecture. Nature Communications. 12(1). 6241–6241. 26 indexed citations
10.
Liu, Nan, Shuqian Xu, Qiuming Yao, et al.. (2021). Author Correction: Transcription factor competition at the γ-globin promoters controls hemoglobin switching. Nature Genetics. 53(4). 586–586. 2 indexed citations
11.
Yan, Kai, et al.. (2019). CO 2 海洋封存系统管道腐蚀特性研究进展. Corrosion Science and Protetion Technology. 31(6). 672–680. 1 indexed citations
12.
Zhang, Ya, Xuefeng Wu, Kai Yan, et al.. (2019). Secretome profiling identifies neuron-derived neurotrophic factor as a tumor-suppressive factor in lung cancer. JCI Insight. 4(24). 20 indexed citations
13.
Xiang, Ying, Kai Yan, Qian Zheng, et al.. (2018). Histone Demethylase KDM4B Promotes DNA Damage by Activating Long Interspersed Nuclear Element-1. Cancer Research. 79(1). 86–98. 29 indexed citations
14.
Jiang, Wei, et al.. (2018). Protein interactions of flowering inhibitors AGL18 and HDA9 with integrator factors in Brassica oleracea var. italica.. Acta Horticulturae Sinica. 45(12). 2383–2394. 1 indexed citations
15.
Wang, Xin, Meimei Zhang, Kai Yan, et al.. (2018). The full-length microRNA cluster in the intron of large latency transcript is associated with the virulence of pseudorabies virus. Virology. 520. 59–66. 11 indexed citations
16.
Andricovich, Jaclyn, et al.. (2018). Loss of KDM6A Activates Super-Enhancers to Induce Gender-Specific Squamous-like Pancreatic Cancer and Confers Sensitivity to BET Inhibitors. Cancer Cell. 33(3). 512–526.e8. 222 indexed citations
17.
Yan, Kai, Jaclyn Andricovich, Zhouhao Zeng, et al.. (2018). Predicting CTCF-mediated chromatin interactions by integrating genomic and epigenomic features. Nature Communications. 9(1). 4221–4221. 40 indexed citations
18.
Andricovich, Jaclyn, Kai Yan, & Alexandros Tzatsos. (2016). Lysine-specific histone demethylases in normal and malignant hematopoiesis. Experimental Hematology. 44(9). 778–782. 13 indexed citations
19.
Gorczynski, Reginald M., David A. Clark, Jiang Hu, et al.. (2001). Expression of murine MD-1 regulates T-Cell activation/cytokine production. Transplantation Proceedings. 33(1-2). 1585–1585. 1 indexed citations
20.
Yan, Kai, et al.. (1990). Chemical constituents contributing to the color of western red cedar heartwood.. Journal of the Japan Wood Research Society. 36(3). 218–224. 7 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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