Han Ge

1.2k total citations
45 papers, 812 citations indexed

About

Han Ge is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Han Ge has authored 45 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 17 papers in Oncology and 12 papers in Cancer Research. Recurrent topics in Han Ge's work include RNA modifications and cancer (13 papers), Cancer-related molecular mechanisms research (10 papers) and Cancer-related gene regulation (6 papers). Han Ge is often cited by papers focused on RNA modifications and cancer (13 papers), Cancer-related molecular mechanisms research (10 papers) and Cancer-related gene regulation (6 papers). Han Ge collaborates with scholars based in China, United States and Australia. Han Ge's co-authors include Yanling Wang, Jie Cheng, Dongmiao Wang, Shui Wang, Yangyang Cui, Mingjie Zheng, Yaping Wu, Pengfei Diao, Yue Huang and Yiqin Xia and has published in prestigious journals such as Journal of Clinical Oncology, Oncogene and Frontiers in Immunology.

In The Last Decade

Han Ge

41 papers receiving 810 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Han Ge China 19 551 364 172 88 73 45 812
Pen‐Yuan Chu Taiwan 13 411 0.7× 232 0.6× 162 0.9× 88 1.0× 47 0.6× 19 606
Paulina Antosik Poland 11 183 0.3× 114 0.3× 179 1.0× 88 1.0× 52 0.7× 45 452
Tiffany Sanford United States 12 358 0.6× 297 0.8× 105 0.6× 114 1.3× 20 0.3× 12 711
Ondřej Kalita Czechia 12 347 0.6× 215 0.6× 123 0.7× 101 1.1× 36 0.5× 31 595
Angela Queisser Germany 15 240 0.4× 96 0.3× 180 1.0× 114 1.3× 47 0.6× 18 603
Ryoji Kitamura Japan 10 207 0.4× 114 0.3× 167 1.0× 69 0.8× 52 0.7× 27 482
Agadha Wickremesekera New Zealand 16 329 0.6× 152 0.4× 189 1.1× 113 1.3× 41 0.6× 42 795
Yabing Mu Sweden 9 562 1.0× 158 0.4× 213 1.2× 68 0.8× 79 1.1× 16 776
Erna Raja Japan 13 476 0.9× 111 0.3× 154 0.9× 65 0.7× 35 0.5× 17 628
Yang‐Seok Chae South Korea 16 228 0.4× 93 0.3× 238 1.4× 186 2.1× 57 0.8× 42 693

Countries citing papers authored by Han Ge

Since Specialization
Citations

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

Fields of papers citing papers by Han Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Han Ge. A scholar is included among the top collaborators of Han Ge 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 Han Ge. Han Ge 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.
Huang, Shansong, et al.. (2025). PLAGL2-STAU1-NCOA4 axis enhances gastric cancer peritoneal metastasis by resisting ferroptosis via ferritinophagy. APOPTOSIS. 30(3-4). 1058–1075. 1 indexed citations
2.
Ge, Han, et al.. (2025). Physical Activity and Depression in Breast Cancer Patients: Mechanisms and Therapeutic Potential. Current Oncology. 32(2). 77–77. 3 indexed citations
3.
Lew, Jie‐Bin, Qingwei Luo, Joachim Worthington, et al.. (2025). Recalibrating an Established Microsimulation Model to Capture Trends and Projections of Colorectal Cancer Incidence and Mortality. Medical Decision Making. 45(3). 257–275. 2 indexed citations
5.
Yao, Senbang, et al.. (2024). Perceived social support mediates cancer and living meaningfully intervention effects on quality of life after breast cancer surgery. Future Oncology. 20(23). 1675–1687. 1 indexed citations
6.
Xu, Peng, Shansong Huang, Jialun Lv, et al.. (2024). N6-methyladenosine-modified MIB1 promotes stemness properties and peritoneal metastasis of gastric cancer cells by ubiquitinating DDX3X. Gastric Cancer. 27(2). 275–291. 4 indexed citations
7.
Ge, Han, et al.. (2023). A Predictive Model for the Early Death of Breast Cancer With Synchronous Liver Metastases: A Population-Based Study. Cancer Control. 30. 2915620899–2915620899. 2 indexed citations
8.
Li, Anlong, et al.. (2023). Music therapy, quality of life and efficacy of immunotherapy for NSCLC. BMJ Supportive & Palliative Care. 16(1). 140–149. 6 indexed citations
9.
Xu, Hao, Weizhi Wang, Zhongyuan He, et al.. (2023). Evaluation of neoadjuvant immunotherapy plus chemotherapy in Chinese surgically resectable gastric cancer: a pilot study by meta-analysis. Frontiers in Immunology. 14. 1193614–1193614. 14 indexed citations
10.
Xu, Peng, Jialun Lv, Han Ge, et al.. (2023). Peritoneal high-fat environment promotes peritoneal metastasis of gastric cancer cells through activation of NSUN2-mediated ORAI2 m5C modification. Oncogene. 42(24). 1980–1993. 42 indexed citations
11.
Wang, Yanling, et al.. (2022). Comprehensive characterization of epidemiological and 3D radiographic features of non-third molar impacted teeth in a Chinese dental population. Clinical Oral Investigations. 26(8). 5143–5154. 4 indexed citations
12.
Ge, Han, et al.. (2021). Pharmacological inhibition of CDK7 by THZ1 impairs tumor growth in p53‐mutated HNSCC. Oral Diseases. 28(3). 611–620. 4 indexed citations
13.
14.
Wang, Zhenghui, Yangyang Cui, Mingjie Zheng, et al.. (2020). Comparison of indocyanine green fluorescence and methylene blue dye in the detection of sentinel lymph nodes in breast cancer. Gland Surgery. 9(5). 1495–1501. 25 indexed citations
15.
Wu, Xiang, et al.. (2020). Identification of a Transcriptional Prognostic Signature From Five Metabolic Pathways in Oral Squamous Cell Carcinoma. Frontiers in Oncology. 10. 572919–572919. 9 indexed citations
16.
Pan, Hong, Han Ge, Li Li, et al.. (2019). Subsequent cooling-circulation after radiofrequency and microwave ablation avoids secondary indirect damage induced by residual thermal energy. Diagnostic and Interventional Radiology. 25(4). 291–297. 8 indexed citations
17.
Zhang, Wei, Jin Li, Yaping Wu, et al.. (2018). TEAD4 overexpression promotes epithelial-mesenchymal transition and associates with aggressiveness and adverse prognosis in head neck squamous cell carcinoma. Cancer Cell International. 18(1). 178–178. 41 indexed citations
18.
Kong, Peng, Hong Pan, Muxin Yu, et al.. (2017). Insufficient microwave ablation-induced promotion of distant metastasis is suppressed by β-catenin pathway inhibition in breast cancer. Oncotarget. 8(70). 115089–115101. 8 indexed citations
19.
Sheng, Yuanjian, Jie Gao, Wenlong Hu, et al.. (2010). Follow-up study identifies two novel susceptibility loci PRKCB and 8p11.21 for systemic lupus erythematosus. Lara D. Veeken. 50(4). 682–688. 51 indexed citations
20.
Guo, Renhua, et al.. (2009). Expression of livin in gastric cancer and induction of apoptosis in SGC-7901 cells by shRNA-mediated silencing of livin gene. Biomedicine & Pharmacotherapy. 64(5). 333–338. 21 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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