Junyu Tan

498 total citations
11 papers, 348 citations indexed

About

Junyu Tan is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Junyu Tan has authored 11 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Junyu Tan's work include Epigenetics and DNA Methylation (6 papers), Cancer-related gene regulation (4 papers) and RNA modifications and cancer (3 papers). Junyu Tan is often cited by papers focused on Epigenetics and DNA Methylation (6 papers), Cancer-related gene regulation (4 papers) and RNA modifications and cancer (3 papers). Junyu Tan collaborates with scholars based in China, Hong Kong and United States. Junyu Tan's co-authors include Yuxian Guo, Yaochen Li, Qian Tao, Gopesh Srivastava, Hongyan Li, Anthony T.�C. Chan, Wenjun Xiao, Xiong Liu, Yichao Fan and Jianming Ying and has published in prestigious journals such as Oncogene, Experimental Cell Research and Frontiers in Pharmacology.

In The Last Decade

Junyu Tan

10 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junyu Tan China 8 269 102 95 39 28 11 348
Alexander E. Kudinov United States 5 235 0.9× 94 0.9× 70 0.7× 25 0.6× 34 1.2× 6 314
Sonja E. Volker United States 4 308 1.1× 107 1.0× 101 1.1× 58 1.5× 30 1.1× 5 408
Xian-Zi Yang China 8 225 0.8× 95 0.9× 95 1.0× 30 0.8× 23 0.8× 8 320
Martin Hellriegel Germany 8 227 0.8× 62 0.6× 104 1.1× 39 1.0× 30 1.1× 15 372
Kathleen Watt Canada 9 166 0.6× 88 0.9× 108 1.1× 42 1.1× 18 0.6× 16 267
Esmeralda Casas-Silva United States 3 238 0.9× 104 1.0× 182 1.9× 34 0.9× 41 1.5× 6 339
Tressa M. Allington United States 4 220 0.8× 81 0.8× 163 1.7× 23 0.6× 49 1.8× 4 345
Ewa Aładowicz United Kingdom 8 196 0.7× 66 0.6× 71 0.7× 37 0.9× 41 1.5× 11 256
Qinghua Xi China 10 221 0.8× 77 0.8× 94 1.0× 38 1.0× 31 1.1× 17 289
Nanhang Lu China 7 263 1.0× 151 1.5× 86 0.9× 30 0.8× 48 1.7× 16 357

Countries citing papers authored by Junyu Tan

Since Specialization
Citations

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

Fields of papers citing papers by Junyu Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junyu Tan

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

All Works

11 of 11 papers shown
1.
Tan, Junyu, et al.. (2024). APOE gene polymorphism in ischemic stroke patients from Huizhou and its correlation with blood lipids and homocysteine. Journal of Stroke and Cerebrovascular Diseases. 33(11). 107990–107990.
2.
Ma, Lingdi, et al.. (2022). Matrine, a potential c-Myc inhibitor, suppresses ribosome biogenesis and nucleotide metabolism in myeloid leukemia. Frontiers in Pharmacology. 13. 1027441–1027441. 4 indexed citations
3.
Xiong, Wei, Junyu Tan, Yuxian Guo, et al.. (2020). Notch3 Knockout Suppresses Mouse Mammary Gland Development and Inhibits the Proliferation of 4T1 Murine Mammary Carcinoma Cells via CCL2/CCR4 Axis. Frontiers in Cell and Developmental Biology. 8. 594372–594372. 9 indexed citations
4.
5.
Xiao, Wenjun, Xiong Liu, Chun Li, et al.. (2019). The frequency of CpG and non-CpG methylation of Notch3 gene promoter determines its expression levels in breast cancer cells. Experimental Cell Research. 386(2). 111743–111743. 9 indexed citations
6.
Guo, Yuxian, Junyu Tan, Wei Xiong, et al.. (2019). Notch3 promotes 3T3‐L1 pre‐adipocytes differentiation by up‐regulating the expression of LARS to activate the mTOR pathway. Journal of Cellular and Molecular Medicine. 24(1). 1116–1127. 13 indexed citations
7.
Tan, Junyu, Wenjun Xiao, Xiong Liu, et al.. (2019). N3ICD with the transmembrane domain can effectively inhibit EMT by correcting the position of tight/adherens junctions. Cell Adhesion & Migration. 13(1). 203–218. 6 indexed citations
8.
Liu, Xiong, Chun Li, Wenjun Xiao, et al.. (2018). The EZH2- H3K27me3-DNMT1 complex orchestrates epigenetic silencing of the wwc1 gene, a Hippo/YAP pathway upstream effector, in breast cancer epithelial cells. Cellular Signalling. 51. 243–256. 58 indexed citations
9.
Tan, Junyu, Émilie Buache, Fabien Alpy, et al.. (2013). Stromal matrix metalloproteinase-11 is involved in the mammary gland postnatal development. Oncogene. 33(31). 4050–4059. 33 indexed citations
10.
Li, Lili, Jianming Ying, Hongyan Li, et al.. (2011). The human cadherin 11 is a pro-apoptotic tumor suppressor modulating cell stemness through Wnt/β-catenin signaling and silenced in common carcinomas. Oncogene. 31(34). 3901–3912. 80 indexed citations
11.

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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2026