Kun Tan

1.8k total citations
44 papers, 1.2k citations indexed

About

Kun Tan is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Kun Tan has authored 44 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 8 papers in Pediatrics, Perinatology and Child Health and 8 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Kun Tan's work include Reproductive Biology and Fertility (8 papers), Pluripotent Stem Cells Research (6 papers) and Birth, Development, and Health (6 papers). Kun Tan is often cited by papers focused on Reproductive Biology and Fertility (8 papers), Pluripotent Stem Cells Research (6 papers) and Birth, Development, and Health (6 papers). Kun Tan collaborates with scholars based in China, United States and India. Kun Tan's co-authors include Miles Wilkinson, H. C. Song, Jianhui Tian, Lei An, Kai Miao, Dwayne G. Stupack, Abhishek Sohni, Dana Burow, Hye-Won Song and Dirk G. de Rooij and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Kun Tan

42 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
Kun Tan China 22 698 331 307 234 145 44 1.2k
Ruizhi Feng China 14 407 0.6× 423 1.3× 307 1.0× 111 0.5× 162 1.1× 43 1.0k
Lei An China 22 493 0.7× 386 1.2× 221 0.7× 202 0.9× 188 1.3× 65 1.1k
Priscila Ramos‐Ibeas Spain 20 488 0.7× 543 1.6× 304 1.0× 187 0.8× 200 1.4× 51 1.1k
Nathalie Daniel France 22 893 1.3× 217 0.7× 183 0.6× 577 2.5× 257 1.8× 67 1.9k
Janet E. Holt Australia 19 710 1.0× 540 1.6× 378 1.2× 166 0.7× 135 0.9× 34 1.2k
Yongjie Wan China 20 641 0.9× 284 0.9× 127 0.4× 364 1.6× 75 0.5× 66 1.1k
Ya Ni China 16 324 0.5× 335 1.0× 475 1.5× 158 0.7× 100 0.7× 45 1.0k
Felipe Perecin Brazil 27 1.1k 1.5× 856 2.6× 416 1.4× 405 1.7× 229 1.6× 101 1.9k
Ryan Evanoff United States 13 639 0.9× 409 1.2× 586 1.9× 394 1.7× 21 0.1× 16 1.2k
Kaisu Luiro Finland 12 649 0.9× 763 2.3× 272 0.9× 428 1.8× 75 0.5× 27 1.5k

Countries citing papers authored by Kun Tan

Since Specialization
Citations

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

Fields of papers citing papers by Kun Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Tan. A scholar is included among the top collaborators of Kun Tan 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 Kun Tan. Kun Tan 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.
Tan, Kun & Miles Wilkinson. (2025). Biological roles of nonsense-mediated RNA decay: insights from the nervous system. Current Opinion in Genetics & Development. 93. 102356–102356. 1 indexed citations
2.
Tan, Kun, et al.. (2025). An ancient enhancer rapidly evolving in the human lineage promotes neural development and cognitive flexibility. Science Advances. 11(33). eadt0534–eadt0534.
3.
Tan, Kun, et al.. (2025). Efficacy of Short-term Effective Measures for the Blackspot Improvement in a Peri-urban Area. Transportation research procedia. 82. 3414–3425.
4.
5.
Chousal, Jennifer N., Abhishek Sohni, Kristoffer Vitting‐Seerup, et al.. (2022). Progression of the pluripotent epiblast depends upon the NMD factor UPF2. Development. 149(21). 8 indexed citations
6.
Tan, Kun, Dwayne G. Stupack, & Miles Wilkinson. (2022). Nonsense-mediated RNA decay: an emerging modulator of malignancy. Nature reviews. Cancer. 22(8). 437–451. 74 indexed citations
7.
Gong, Yanhong, Hui Li, Heping Yang, et al.. (2021). Evaluation of the Quality of Antibiotic Prescribing in Primary Care: A Multicenter Longitudinal Study From Shenzhen, China. Frontiers in Pharmacology. 11. 617260–617260. 5 indexed citations
8.
Hua, Deping, Jingxuan Shi, Zheng Tan, et al.. (2020). Porcine Immunoglobulin Fc Fused P30/P54 Protein of African Swine Fever Virus Displaying on Surface of S. cerevisiae Elicit Strong Antibody Production in Swine. Virologica Sinica. 36(2). 207–219. 20 indexed citations
9.
Tan, Kun, Blue B. Lake, Jennifer N. Chousal, et al.. (2020). The role of the NMD factor UPF3B in olfactory sensory neurons. eLife. 9. 26 indexed citations
10.
Tan, Kun & Miles Wilkinson. (2020). A single-cell view of spermatogonial stem cells. Current Opinion in Cell Biology. 67. 71–78. 41 indexed citations
11.
Wang, Xiong, Na Shen, Yanjun Lu, & Kun Tan. (2019). Vitamin D receptor polymorphisms and the susceptibility of Parkinson’s disease. Neuroscience Letters. 699. 206–211. 14 indexed citations
12.
Sohni, Abhishek, Kun Tan, Hye-Won Song, et al.. (2019). The Neonatal and Adult Human Testis Defined at the Single-Cell Level. Cell Reports. 26(6). 1501–1517.e4. 223 indexed citations
13.
Ramaiah, Madhuvanthi, Kun Tan, H. C. Song, et al.. (2018). A micro RNA cluster in the Fragile‐X region expressed during spermatogenesis targets FMR 1. EMBO Reports. 20(2). 25 indexed citations
14.
An, Lei, Kun Tan, Jiaxin Zhang, et al.. (2017). Natriuretic peptide receptor 2 (NPR2) localized in bovine oocyte underlies a unique mechanism for C-type natriuretic peptide (CNP)-induced meiotic arrest. Theriogenology. 106. 198–209. 39 indexed citations
15.
Wang, Zhuqing, Lei An, Zhennan Zhang, et al.. (2015). Dynamic comparisons of high-resolution expression profiles highlighting mitochondria-related genes betweenin vivoandin vitrofertilized early mouse embryos. Human Reproduction. 30(12). dev228–dev228. 35 indexed citations
16.
Zheng, Caihong, Gang Chang, Wenqiang Liu, et al.. (2015). Unique features of mutations revealed by sequentially reprogrammed induced pluripotent stem cells. Nature Communications. 6(1). 6318–6318. 25 indexed citations
17.
Tan, Kun, et al.. (2015). High level of IFN-γ released from whole blood of human tuberculosis infections following stimulation with Rv2073c of Mycobacterium tuberculosis. Journal of Microbiological Methods. 114. 57–61. 5 indexed citations
18.
Tan, Kun, Lei An, Shumin Wang, et al.. (2015). Actin Disorganization Plays a Vital Role in Impaired Embryonic Development of In Vitro-Produced Mouse Preimplantation Embryos. PLoS ONE. 10(6). e0130382–e0130382. 24 indexed citations
19.
Sui, Linlin, Lei An, Kun Tan, et al.. (2014). Dynamic Proteomic Profiles of In Vivo- and In Vitro-Produced Mouse Postimplantation Extraembryonic Tissues and Placentas1. Biology of Reproduction. 91(6). 155–155. 27 indexed citations
20.
Tan, Kun, Xiaochun Wang, Xiaochun Wang, et al.. (2013). Comparison of BCG prime-DNA booster and rBCG regimens for protection against tuberculosis. Human Vaccines & Immunotherapeutics. 10(2). 391–398. 9 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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