Jun Qin

15.9k total citations · 2 hit papers
226 papers, 10.7k citations indexed

About

Jun Qin is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jun Qin has authored 226 papers receiving a total of 10.7k indexed citations (citations by other indexed papers that have themselves been cited), including 127 papers in Molecular Biology, 52 papers in Cancer Research and 35 papers in Oncology. Recurrent topics in Jun Qin's work include Cancer-related molecular mechanisms research (23 papers), Epigenetics and DNA Methylation (22 papers) and RNA modifications and cancer (18 papers). Jun Qin is often cited by papers focused on Cancer-related molecular mechanisms research (23 papers), Epigenetics and DNA Methylation (22 papers) and RNA modifications and cancer (18 papers). Jun Qin collaborates with scholars based in China, United States and France. Jun Qin's co-authors include Sung Yun Jung, Sophia Y. Tsai, Ming‐Jer Tsai, Huda Y. Zoghbi, Maria H. Chahrour, Xiaobo Zhou, Chad A. Shaw, Stephen T.C. Wong, Jiemin Wong and Bert W. O’Malley and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Jun Qin

219 papers receiving 10.7k citations

Hit Papers

MeCP2, a Key Contributor to Neurological Disease, Activat... 2008 2026 2014 2020 2008 2023 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Qin China 53 7.0k 2.0k 1.9k 1.8k 1.6k 226 10.7k
Esteban Ballestar Spain 55 9.1k 1.3× 1.8k 0.9× 1.6k 0.9× 1.9k 1.1× 1.3k 0.8× 147 12.6k
Alberto Gulino Italy 60 7.3k 1.1× 2.5k 1.2× 1.7k 0.9× 1.8k 1.0× 2.4k 1.5× 258 11.7k
Nathanael J. Spann United States 19 8.4k 1.2× 1.6k 0.8× 1.2k 0.6× 2.9k 1.6× 957 0.6× 28 11.8k
Ratna K. Vadlamudi United States 64 7.0k 1.0× 1.6k 0.8× 2.7k 1.4× 1.1k 0.6× 3.4k 2.2× 227 11.8k
Min Wang China 66 7.8k 1.1× 2.3k 1.1× 808 0.4× 2.0k 1.1× 2.4k 1.5× 417 14.0k
Kay‐Uwe Wagner United States 55 5.5k 0.8× 1.8k 0.9× 1.9k 1.0× 1.5k 0.8× 5.1k 3.2× 161 10.8k
Issei Imoto Japan 56 7.3k 1.1× 3.2k 1.6× 1.6k 0.8× 738 0.4× 2.1k 1.3× 251 10.7k
Xiwei Wu United States 53 7.1k 1.0× 2.7k 1.3× 1.3k 0.7× 1.1k 0.6× 1.7k 1.0× 211 9.9k
Raúl Urrutia United States 60 7.1k 1.0× 1.3k 0.6× 1.5k 0.8× 1.2k 0.7× 2.0k 1.2× 277 11.3k
Senji Shirasawa Japan 48 5.8k 0.8× 2.0k 1.0× 802 0.4× 920 0.5× 2.7k 1.7× 191 9.3k

Countries citing papers authored by Jun Qin

Since Specialization
Citations

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

Fields of papers citing papers by Jun Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Qin. A scholar is included among the top collaborators of Jun Qin 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 Jun Qin. Jun Qin 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, Weiwei, Yang Liu, Jiahui Chen, et al.. (2024). PRMT5-mediated FUBP1 methylation accelerates prostate cancer progression. Journal of Clinical Investigation. 134(18). 5 indexed citations
2.
Wang, Ze, Peng Song, Jian Chen, et al.. (2024). Histone demethylase PHF8 promotes prostate cancer metastasis via the E2F1SNAI1 axis. The Journal of Pathology. 264(1). 68–79. 2 indexed citations
3.
Lee, Hui-Ju, et al.. (2024). GATA2 promotes castration-resistant prostate cancer development by suppressing IFN-β axis-mediated antitumor immunity. Oncogene. 43(34). 2595–2610. 3 indexed citations
4.
Han, Ying, Huairui Yuan, Qiuli Liu, et al.. (2024). Zinc ions activate AKT and promote prostate cancer cell proliferation via disrupting AKT intramolecular interaction. Oncogene. 44(1). 8–18. 2 indexed citations
5.
Lan, Weihua, Luofu Wang, Dianzheng Zhang, et al.. (2023). PHF8-GLUL axis in lipid deposition and tumor growth of clear cell renal cell carcinoma. Science Advances. 9(31). eadf3566–eadf3566. 17 indexed citations
6.
Chen, Yanhao, Xiaoshan Wu, Yongxu Zhao, et al.. (2023). Acute liver steatosis translationally controls the epigenetic regulator MIER1 to promote liver regeneration in a study with male mice. Nature Communications. 14(1). 1521–1521. 25 indexed citations
7.
Yuan, Jia, Qingchen Zhu, Xingli Zhang, et al.. (2022). Ezh2 competes with p53 to license lncRNA Neat1 transcription for inflammasome activation. Cell Death and Differentiation. 29(10). 2009–2023. 27 indexed citations
8.
Tang, Peng, Tang Tang, Yapeng Wang, et al.. (2022). Genetic profiling of hormone-sensitive and castration-resistant prostate cancers and identification of genetic mutations prone to castration-resistant prostate cancer. Prostate Cancer and Prostatic Diseases. 26(1). 180–187. 9 indexed citations
10.
Qin, Jun, Mafei Xu, Jingjing Shi, et al.. (2020). Small-molecule inhibitor targeting orphan nuclear receptor COUP-TFII for prostate cancer treatment. Science Advances. 6(18). eaaz8031–eaaz8031. 23 indexed citations
11.
Li, Long, Ran Chen, Yuxue Zhang, et al.. (2019). SCFFBXW7/GSK3β-Mediated GFI1 Degradation Suppresses Proliferation of Gastric Cancer Cells. Cancer Research. 79(17). 4387–4398. 24 indexed citations
12.
Zhang, Yan, Pan Jia, Xuelei Wang, et al.. (2019). Pathogenic CARD11 mutations affect B cell development and differentiation through a noncanonical pathway. Science Immunology. 4(41). 16 indexed citations
13.
Xu, Mafei, Jun Qin, Dan Liu, et al.. (2019). Nuclear receptors regulate alternative lengthening of telomeres through a novel noncanonical FANCD2 pathway. Science Advances. 5(10). eaax6366–eaax6366. 22 indexed citations
14.
Chen, Chao, Sulan Zhai, Le Zhang, et al.. (2018). Uhrf1 regulates germinal center B cell expansion and affinity maturation to control viral infection. The Journal of Experimental Medicine. 215(5). 1437–1448. 30 indexed citations
15.
Ding, Yufeng, Ni Li, Baijun Dong, et al.. (2018). Chromatin remodeling ATPase BRG1 and PTEN are synthetic lethal in prostate cancer. Journal of Clinical Investigation. 129(2). 759–773. 61 indexed citations
16.
Hong, Jun Ki, Jian Zhou, Junjiang Fu, et al.. (2011). Phosphorylation of Serine 68 of Twist1 by MAPKs Stabilizes Twist1 Protein and Promotes Breast Cancer Cell Invasiveness. Cancer Research. 71(11). 3980–3990. 202 indexed citations
17.
Chen, Delin, Jing Shan, Wei‐Guo Zhu, Jun Qin, & Wei Gu. (2010). Transcription-independent ARF regulation in oncogenic stress-mediated p53 responses. Nature. 464(7288). 624–627. 127 indexed citations
19.
Malovannaya, Anna, Yehua Li, Yaroslava Bulynko, et al.. (2010). Streamlined analysis schema for high-throughput identification of endogenous protein complexes. Proceedings of the National Academy of Sciences. 107(6). 2431–2436. 99 indexed citations
20.
Chahrour, Maria H., Sung Yun Jung, Chad A. Shaw, et al.. (2008). MeCP2, a Key Contributor to Neurological Disease, Activates and Represses Transcription. Science. 320(5880). 1224–1229. 1372 indexed citations breakdown →

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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