Yun Tan

3.3k total citations
52 papers, 986 citations indexed

About

Yun Tan is a scholar working on Molecular Biology, Immunology and Hematology. According to data from OpenAlex, Yun Tan has authored 52 papers receiving a total of 986 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 15 papers in Immunology and 14 papers in Hematology. Recurrent topics in Yun Tan's work include Acute Myeloid Leukemia Research (14 papers), Retinoids in leukemia and cellular processes (10 papers) and Protein Degradation and Inhibitors (6 papers). Yun Tan is often cited by papers focused on Acute Myeloid Leukemia Research (14 papers), Retinoids in leukemia and cellular processes (10 papers) and Protein Degradation and Inhibitors (6 papers). Yun Tan collaborates with scholars based in China, United States and United Kingdom. Yun Tan's co-authors include Kankan Wang, Jiajie Zhu, Yongju Luo, Sai‐Juan Chen, Hesheng Jiang, Gan Xi, Chao Li, Wen Jin, Hai Fang and Xiaoling Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Yun Tan

50 papers receiving 980 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yun Tan China 19 519 311 183 158 111 52 986
Mairi McGrath Germany 13 290 0.6× 507 1.6× 89 0.5× 169 1.1× 79 0.7× 20 1.1k
Xiaoling Liu China 19 615 1.2× 322 1.0× 286 1.6× 305 1.9× 44 0.4× 56 1.2k
Rowena S. Lewis Australia 14 565 1.1× 395 1.3× 91 0.5× 268 1.7× 91 0.8× 18 1.1k
Naomichi Arima Japan 23 305 0.6× 859 2.8× 100 0.5× 190 1.2× 99 0.9× 96 1.5k
Yi Hu China 26 779 1.5× 615 2.0× 603 3.3× 154 1.0× 26 0.2× 61 1.6k
Jianhong Yao China 12 381 0.7× 676 2.2× 233 1.3× 123 0.8× 26 0.2× 28 1.1k
Ewa D. Micewicz United States 15 304 0.6× 168 0.5× 76 0.4× 118 0.7× 36 0.3× 31 797
Jooho Chung United States 14 322 0.6× 299 1.0× 58 0.3× 124 0.8× 66 0.6× 23 857
Gady Cojocaru United States 10 725 1.4× 412 1.3× 175 1.0× 161 1.0× 27 0.2× 22 1.3k
Christoph P. Berg Germany 16 441 0.8× 265 0.9× 93 0.5× 124 0.8× 22 0.2× 47 1.4k

Countries citing papers authored by Yun Tan

Since Specialization
Citations

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

Fields of papers citing papers by Yun Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Tan. A scholar is included among the top collaborators of Yun 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 Yun Tan. Yun 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.
Zou, Liang, Yang Huang, Yun Tan, et al.. (2025). Anisotropy study of the microstructure, phase composition and properties of 321 stainless steel additively manufactured by laser powder bed fusion. Journal of Manufacturing Processes. 141. 1135–1150. 2 indexed citations
2.
Zhao, Luyao, Yun Tan, Xufeng Cen, et al.. (2025). Oncogenic role of RARG rearrangements in acute myeloid leukemia resembling acute promyelocytic leukemia. Nature Communications. 16(1). 617–617.
4.
Tan, Yun, et al.. (2025). Development of KASP markers, SNP fingerprinting and population genetic analysis of Cymbidium ensifolium (L.) Sw. germplasm resources in China. Frontiers in Plant Science. 15. 1460603–1460603. 1 indexed citations
5.
Zhang, Yi, Peng Jin, Yun Tan, et al.. (2024). Phase separation of PML/RARα and BRD4 coassembled microspeckles governs transcriptional dysregulation in acute promyelocytic leukemia. Proceedings of the National Academy of Sciences. 121(34). e2406519121–e2406519121. 5 indexed citations
6.
Guo, Mingquan, Guojun Wu, Yun Tan, et al.. (2023). Guild-Level Microbiome Signature Associated with COVID-19 Severity and Prognosis. mBio. 14(1). e0351922–e0351922. 11 indexed citations
7.
Wang, Junyu, Yin Tong, Yuting Dai, et al.. (2023). Metabolomic Insights into the Pathogenesis and Prognostic Potential of Adult Acute Lymphoblastic Leukemia. Blood. 142(Supplement 1). 2971–2971. 1 indexed citations
8.
Zhou, Zhuochao, Jialin Teng, Fan Wang, et al.. (2020). Anti‐Tyro3 IgG Associates with Disease Activity and Reduces Efferocytosis of Macrophages in New‐Onset Systemic Lupus Erythematosus. Journal of Immunology Research. 2020(1). 2180708–2180708. 9 indexed citations
9.
Huang, Yao‐Hui, et al.. (2020). Single‐Cell RNA Sequencing in Hematological Diseases. PROTEOMICS. 20(13). e1900228–e1900228. 23 indexed citations
10.
Tan, Yun, Feng Liu, Xiaoguang Xu, et al.. (2020). Durability of neutralizing antibodies and T-cell response post SARS-CoV-2 infection. Frontiers of Medicine. 14(6). 746–751. 47 indexed citations
11.
Wu, Jiale, Ying Liang, Yun Tan, et al.. (2019). CDK9 inhibitors reactivate p53 by downregulating iASPP. Cellular Signalling. 67. 109508–109508. 23 indexed citations
12.
Xi, Gan, et al.. (2018). Pathological research of GIFT tilapia infected by Streptococcus agalactiae.. Nanfang nongye xuebao. 49(2). 375–382. 1 indexed citations
13.
Li, Shufen, Yun Tan, Bing Chen, et al.. (2018). Profiling and functional analysis of circular RNAs in acute promyelocytic leukemia and their dynamic regulation during all-trans retinoic acid treatment. Cell Death and Disease. 9(6). 651–651. 56 indexed citations
14.
Dai, Qin, Jian Liu, Ying Ji, et al.. (2016). Histone deacetylase inhibitors attenuate P-aIgA1-induced cell proliferation and extracellular matrix synthesis in human renal mesangial cells in vitro. Acta Pharmacologica Sinica. 37(2). 228–234. 16 indexed citations
15.
Zou, Li, Tingting Sun, Danlei Li, et al.. (2015). De novo transcriptome analysis of Inonotus baumii by RNA-seq. Journal of Bioscience and Bioengineering. 121(4). 380–384. 15 indexed citations
16.
Zhu, Jiajie, Chao Li, Yun Tan, et al.. (2015). Trancriptomic profiling revealed the signatures of acute immune response in tilapia (Oreochromis niloticus) following Streptococcus iniae challenge. Fish & Shellfish Immunology. 46(2). 346–353. 75 indexed citations
17.
Yang, Xian‐Wen, Yun Tan, Ping Wang, et al.. (2011). Regulation of the hematopoietic cell kinase (HCK) by PML/RARα and PU.1 in acute promyelocytic leukemia. Leukemia Research. 36(2). 219–223. 10 indexed citations
18.
Yang, Hongyu, Xuehua Zheng, Yun Tan, et al.. (2011). Cysteinyl leukotrienes synthesis is involved in aristolochic acid I-induced apoptosis in renal proximal tubular epithelial cells. Toxicology. 287(1-3). 38–45. 31 indexed citations
19.
Li, Hui, Xiaoling Li, Yun Wei, et al.. (2009). HSV-2 induces TLRs and NF-κB-dependent cytokines in cervical epithelial cells. Biochemical and Biophysical Research Communications. 379(3). 686–690. 20 indexed citations
20.
Tan, Yun. (2004). Regulation of Human VEGF by Expression Latent Membrane Protein 1 Encoded by EB Virus Via STAT3 in Nasopharyngeal Carcinoma Cell Line. PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS. 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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