Hui Han

2.2k total citations
61 papers, 1.5k citations indexed

About

Hui Han is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Hui Han has authored 61 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 10 papers in Immunology and 10 papers in Cancer Research. Recurrent topics in Hui Han's work include RNA modifications and cancer (17 papers), Cancer-related gene regulation (16 papers) and Cancer-related molecular mechanisms research (6 papers). Hui Han is often cited by papers focused on RNA modifications and cancer (17 papers), Cancer-related gene regulation (16 papers) and Cancer-related molecular mechanisms research (6 papers). Hui Han collaborates with scholars based in China, South Korea and United States. Hui Han's co-authors include Shuibin Lin, Siyi Zheng, Jieyi Ma, Chunlong Yang, Lu Wang, Siyao Guo, Ying Huang, Sui Peng, Ming Kuang and Yi-Zhou Jiang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Hui Han

57 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hui Han China 21 1.0k 480 214 136 122 61 1.5k
Zhixing Li China 17 633 0.6× 385 0.8× 84 0.4× 70 0.5× 80 0.7× 58 1.1k
Donglin Wang China 20 599 0.6× 259 0.5× 209 1.0× 77 0.6× 149 1.2× 76 1.3k
Yang Su China 26 1.3k 1.3× 889 1.9× 100 0.5× 134 1.0× 54 0.4× 68 1.8k
Tingting Zheng China 18 580 0.6× 333 0.7× 98 0.5× 183 1.3× 104 0.9× 44 1.0k
Mingfang Ao United States 15 470 0.5× 203 0.4× 498 2.3× 193 1.4× 165 1.4× 27 1.3k
Wenrong Gong China 18 678 0.7× 248 0.5× 296 1.4× 189 1.4× 70 0.6× 24 1.3k
Addolorata Maria Luce Coluccia Italy 21 784 0.8× 128 0.3× 412 1.9× 125 0.9× 136 1.1× 45 1.7k
Xiaofei Zhang China 22 850 0.8× 212 0.4× 71 0.3× 151 1.1× 91 0.7× 59 1.4k

Countries citing papers authored by Hui Han

Since Specialization
Citations

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

Fields of papers citing papers by Hui Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Han

This figure shows the co-authorship network connecting the top 25 collaborators of Hui Han. A scholar is included among the top collaborators of Hui Han 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 Hui Han. Hui Han 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.
Deng, Chuangzhong, Jingya Liu, Jing Li, et al.. (2025). Spatial Transcriptional Dynamics of CD74⁺ B Cells in Tertiary Lymphoid Structures Drive Immune Evolution in Penile Squamous Cell Carcinoma. Advanced Science. 12(44). e09742–e09742.
2.
Yang, Wen‐Yi, Haohua Yao, Ning Ma, et al.. (2025). Differentiating between adrenocortical carcinoma and pheochromocytoma by a CT-based radiomics model: a multicenter retrospective study. BMC Medical Imaging. 25(1). 310–310.
3.
Zhang, Siqi, Mo Ma, Jingkang Li, et al.. (2024). Neutrophil elastase specific fluorescent probe for early diagnosis of thyroiditis via serum sample testing and fluorescence imaging. Sensors and Actuators B Chemical. 423. 136736–136736. 2 indexed citations
4.
Wang, Shuyi, Hui Han, Binfeng Chen, et al.. (2024). Aberrant METTL1-mediated tRNA m7G modification alters B-cell responses in systemic autoimmunity in humans and mice. Nature Communications. 15(1). 10599–10599. 4 indexed citations
5.
Han, Hui, Wei Wei, Zixin Huang, et al.. (2024). RNA modification-related genes illuminate prognostic signature and mechanism in esophageal squamous cell carcinoma. iScience. 27(3). 109327–109327. 6 indexed citations
6.
Zhang, Siqi, Mo Ma, Jingkang Li, et al.. (2024). A Pyroglutamate Aminopeptidase 1 Responsive Fluorescence Imaging Probe for Real-Time Rapid Differentiation between Thyroiditis and Thyroid Cancer. Analytical Chemistry. 96(15). 5897–5905. 4 indexed citations
7.
Wang, Zhaoyu, Peng Yu, Yutong Zou, et al.. (2023). METTL1/WDR4-mediated tRNA m7G modification and mRNA translation control promote oncogenesis and doxorubicin resistance. Oncogene. 42(23). 1900–1912. 33 indexed citations
9.
Han, Hui, Chunlong Yang, Jieyi Ma, et al.. (2022). N7-methylguanosine tRNA modification promotes esophageal squamous cell carcinoma tumorigenesis via the RPTOR/ULK1/autophagy axis. Nature Communications. 13(1). 1478–1478. 125 indexed citations
10.
Peng, Hao, Binbin Chen, Wei Wei, et al.. (2022). N6-methyladenosine (m6A) in 18S rRNA promotes fatty acid metabolism and oncogenic transformation. Nature Metabolism. 4(8). 1041–1054. 95 indexed citations
11.
Zheng, Siyi, Hui Han, & Shuibin Lin. (2022). N6-methyladenosine (m6A) RNA modification in tumor immunity. Cancer Biology and Medicine. 19(4). 385–397. 19 indexed citations
12.
Han, Hui, Siyi Zheng, & Shuibin Lin. (2022). N7-methylguanosine (m7G) tRNA modification: a novel autophagy modulator in cancer. Autophagy. 19(1). 360–362. 25 indexed citations
13.
Huang, Ying, Jieyi Ma, Hui Han, et al.. (2022). METTL1 promotes neuroblastoma development through m7G tRNA modification and selective oncogenic gene translation. Biomarker Research. 10(1). 68–68. 21 indexed citations
14.
Liang, Yu, Hui Han, Qiuchan Xiong, et al.. (2021). METTL3-Mediated m6A Methylation Regulates Muscle Stem Cells and Muscle Regeneration by Notch Signaling Pathway. Stem Cells International. 2021. 1–13. 45 indexed citations
15.
Chen, Zhihang, Wanjie Zhu, Shenghua Zhu, et al.. (2021). METTL1 promotes hepatocarcinogenesis via m7G tRNA modification‐dependent translation control. SHILAP Revista de lepidopterología. 11(12). e661–e661. 134 indexed citations
16.
Ma, Mengyu, Xiaodong Guo, Xuemin Zhang, et al.. (2015). Targeted silencing of CXCL1 by siRNA inhibits tumor growth and apoptosis in hepatocellular carcinoma. International Journal of Oncology. 47(6). 2131–2140. 21 indexed citations
17.
Wang, Bao‐Zhong, Liping Wang, Hui Han, et al.. (2014). Interleukin-17A antagonist attenuates radiation-induced lung injuries in mice. Experimental Lung Research. 40(2). 77–85. 30 indexed citations
18.
He, Wenjing, et al.. (2013). Inpatients' Knowledge about Primary Liver Cancer and Hepatitis. Asian Pacific Journal of Cancer Prevention. 14(8). 4913–4918. 10 indexed citations
19.
Gong, Lei, Jirun Peng, Pengcheng Chen, et al.. (2010). Hepatocellular carcinoma patients highly and specifically expressing XAGE-1 exhibit prolonged survival. Oncology Letters. 1(6). 1083–1088. 3 indexed citations
20.
Gushiken, Francisca C., Hui Han, Juan Li, Rolando E. Rumbaut, & Vahid Afshar‐Kharghan. (2009). Abnormal platelet function in C3-deficient mice. Journal of Thrombosis and Haemostasis. 7(5). 865–870. 50 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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