Yu Gan

7.2k total citations
176 papers, 5.2k citations indexed

About

Yu Gan is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Yu Gan has authored 176 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Molecular Biology, 43 papers in Cancer Research and 33 papers in Oncology. Recurrent topics in Yu Gan's work include MicroRNA in disease regulation (22 papers), RNA modifications and cancer (20 papers) and Hepatitis B Virus Studies (19 papers). Yu Gan is often cited by papers focused on MicroRNA in disease regulation (22 papers), RNA modifications and cancer (20 papers) and Hepatitis B Virus Studies (19 papers). Yu Gan collaborates with scholars based in China, United States and Macao. Yu Gan's co-authors include Jun Chen, Yanqin Gao, Peiying Li, Hua Xu, Zhangqun Ye, R. Anne Stetler, Xiaoming Hu, Weimin Yao, Heng Li and Wei Xiao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Yu Gan

170 papers receiving 5.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Gan China 42 2.7k 1.4k 784 713 711 176 5.2k
Yoshiyuki Rikitake Japan 40 3.3k 1.2× 697 0.5× 577 0.7× 916 1.3× 510 0.7× 111 6.2k
Susumu Ishida Japan 52 3.2k 1.2× 530 0.4× 444 0.6× 881 1.2× 355 0.5× 402 9.6k
Payaningal R. Somanath United States 39 2.3k 0.8× 806 0.6× 620 0.8× 390 0.5× 616 0.9× 124 4.3k
Wei‐Chien Huang Taiwan 44 3.2k 1.2× 1.2k 0.8× 1.3k 1.7× 644 0.9× 481 0.7× 123 5.8k
Hyun Kook South Korea 41 3.7k 1.4× 808 0.6× 903 1.2× 592 0.8× 384 0.5× 119 5.4k
Claudio Mauro United Kingdom 35 2.1k 0.8× 1.3k 0.9× 660 0.8× 1.8k 2.6× 295 0.4× 74 5.0k
Juan Liu China 33 2.5k 0.9× 1.5k 1.1× 610 0.8× 837 1.2× 305 0.4× 185 4.7k
Wei Cui China 43 3.8k 1.4× 702 0.5× 779 1.0× 584 0.8× 335 0.5× 120 6.4k
Daniel Martı́n United States 38 3.2k 1.2× 1.0k 0.7× 1.3k 1.7× 916 1.3× 416 0.6× 86 5.8k
Sarah Y. Yuan United States 44 2.0k 0.7× 445 0.3× 427 0.5× 1.0k 1.5× 425 0.6× 101 4.4k

Countries citing papers authored by Yu Gan

Since Specialization
Citations

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

Fields of papers citing papers by Yu Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Gan. A scholar is included among the top collaborators of Yu Gan 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 Yu Gan. Yu Gan 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.
Hao, Qian, Yu Gan, Jing Tong, et al.. (2025). p53 transcriptionally activates DCP1B to suppress tumor progression and enhance tumor sensitivity to PI3K blockade in non-small cell lung cancer. Cell Death and Differentiation. 32(9). 1722–1733. 1 indexed citations
2.
Zhao, Tianyi, Xiaojun Chen, Jinchang Wu, et al.. (2025). YY1-induced USP43 drives ferroptosis suppression by FASN stabilization and subsequent activation of SLC7A11 in ovarian cancer. Cell Death and Disease. 16(1). 589–589.
3.
Xiang, Qing, et al.. (2023). Gastrodin destabilizes survivin and overcomes pemetrexed resistance. Cellular Signalling. 110. 110851–110851. 6 indexed citations
4.
Liang, Yiyi, Jian Gao, Peiying Li, et al.. (2023). Environmental eustress promotes liver regeneration through the sympathetic regulation of type 1 innate lymphoid cells to increase IL-22 in mice. Hepatology. 78(1). 136–149. 19 indexed citations
5.
Wang, Ruike, Shuangze Han, Yu Gan, et al.. (2022). Molecular imaging of tumor-associated macrophages in cancer immunotherapy. Therapeutic Advances in Medical Oncology. 14. 4287488226–4287488226. 18 indexed citations
6.
Li, Ming, Feng Gao, Yu Gan, et al.. (2022). Stabilization of MCL-1 by E3 ligase TRAF4 confers radioresistance. Cell Death and Disease. 13(12). 1053–1053. 14 indexed citations
7.
Chen, Xinpei, Juan Du, Fei Kuang, et al.. (2022). Immunogenicity of COVID ‐19 vaccines in chronic liver disease patients and liver transplant recipients: A systematic review and meta‐analysis. Liver International. 43(1). 34–48. 15 indexed citations
8.
Zhang, Xueqin, H. Wu, Yu Gan, et al.. (2021). ROS-ERK Pathway as Dual Mediators of Cellular Injury and Autophagy-Associated Adaptive Response in Urinary Protein-Irritated Renal Tubular Epithelial Cells. Journal of Diabetes Research. 2021. 1–8. 21 indexed citations
9.
Chen, Ke, Jin Zeng, Yi Eve Sun, et al.. (2021). Junction plakoglobin regulates and destabilizes HIF2α to inhibit tumorigenesis of renal cell carcinoma. Cancer Communications. 41(4). 316–332. 11 indexed citations
10.
X, Yin, Yanfang Wang, Yingli He, et al.. (2020). CircRNA-PTN Sponges miR-326 to Promote Proliferation in Hepatocellular Carcinoma. SHILAP Revista de lepidopterología. 3 indexed citations
11.
Gan, Yu, Dan Yang, Siyu Yang, et al.. (2019). Di‐2‐ethylhexyl phthalate (DEHP) induces apoptosis and autophagy of mouse GC‐1 spg cells. Environmental Toxicology. 35(2). 292–299. 40 indexed citations
12.
Yang, Siyu, Dan Yang, Lin Zeng, et al.. (2019). Tea polyphenols alleviate tri‐ortho‐cresyl phosphate‐induced autophagy of mouse ovarian granulosa cells. Environmental Toxicology. 35(4). 478–486. 26 indexed citations
13.
Wang, Long, Yuxi Zhou, Yu Gan, et al.. (2018). Cancer Exacerbates Ischemic Brain Injury Via Nrp1 (Neuropilin 1)-Mediated Accumulation of Regulatory T Cells Within the Tumor. Stroke. 49(11). 2733–2742. 18 indexed citations
14.
Chen, Taoyang, Gengsun Qian, Chunsun Fan, et al.. (2018). Qidong hepatitis B virus infection cohort: a 25-year prospective study in high risk area of primary liver cancer. Hepatoma Research. 4(1). 4–4. 14 indexed citations
15.
Song, Yanfang, Yu Gan, Qīng Wáng, et al.. (2017). Enriching the Housing Environment for Mice Enhances Their NK Cell Antitumor Immunity via Sympathetic Nerve–Dependent Regulation of NKG2D and CCR5. Cancer Research. 77(7). 1611–1622. 71 indexed citations
16.
Chen, Ke, Haibing Xiao, Jin Zeng, et al.. (2016). Alternative Splicing of EZH2 pre-mRNA by SF3B3 Contributes to the Tumorigenic Potential of Renal Cancer. Clinical Cancer Research. 23(13). 3428–3441. 81 indexed citations
17.
Gan, Yu, Weimin Yao, Kiranmai Gumireddy, et al.. (2014). Pseudogene PTENP1 Functions as a Competing Endogenous RNA to Suppress Clear-Cell Renal Cell Carcinoma Progression. Molecular Cancer Therapeutics. 13(12). 3086–3097. 166 indexed citations
18.
Gan, Yu, Weimin Yao, Wei Xiao, et al.. (2014). MicroRNA-34a functions as an anti-metastatic microRNA and suppresses angiogenesis in bladder cancer by directly targeting CD44. Journal of Experimental & Clinical Cancer Research. 33(1). 779–779. 92 indexed citations
19.
Cai, Xu‐Wei, Yu Gan, Jianxin Hu, et al.. (2013). The adiponectin gene single-nucleotide polymorphism rs1501299 is associated with hepatocellular carcinoma risk. Clinical & Translational Oncology. 16(2). 166–172. 6 indexed citations
20.
Gan, Yu. (2008). The sphere formation and tumorigenesis of lung cancer stem cells. Tumori. 1 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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