Siyuan Han

902 total citations
37 papers, 719 citations indexed

About

Siyuan Han is a scholar working on Molecular Biology, Biomaterials and Cancer Research. According to data from OpenAlex, Siyuan Han has authored 37 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Biomaterials and 7 papers in Cancer Research. Recurrent topics in Siyuan Han's work include Nanoparticle-Based Drug Delivery (7 papers), RNA Interference and Gene Delivery (4 papers) and Graphene and Nanomaterials Applications (4 papers). Siyuan Han is often cited by papers focused on Nanoparticle-Based Drug Delivery (7 papers), RNA Interference and Gene Delivery (4 papers) and Graphene and Nanomaterials Applications (4 papers). Siyuan Han collaborates with scholars based in China, United States and Spain. Siyuan Han's co-authors include Yan Wu, Shu Guo, Xing‐Jie Liang, Yaling Gan, Qiao Jiang, Huili Ma, Dongliang Wang, Guozhang Zou, Chunying Chen and Yuliang Zhao and has published in prestigious journals such as Small, Carbohydrate Polymers and Journal of Applied Polymer Science.

In The Last Decade

Siyuan Han

35 papers receiving 712 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Siyuan Han China 14 213 209 143 115 82 37 719
Jiaxin Liu China 18 275 1.3× 159 0.8× 177 1.2× 160 1.4× 115 1.4× 66 843
Wangxi Hai China 13 157 0.7× 255 1.2× 137 1.0× 84 0.7× 68 0.8× 37 669
Reinier Bron Netherlands 11 186 0.9× 196 0.9× 85 0.6× 89 0.8× 58 0.7× 18 579
Qing‐Qing Fang China 21 237 1.1× 150 0.7× 165 1.2× 39 0.3× 114 1.4× 54 1.2k
Kristin Andreas Germany 13 211 1.0× 257 1.2× 269 1.9× 146 1.3× 48 0.6× 15 1.0k
Dongwei Gao United States 19 211 1.0× 248 1.2× 109 0.8× 128 1.1× 245 3.0× 30 830
Hongyun Huang China 15 210 1.0× 175 0.8× 77 0.5× 70 0.6× 59 0.7× 43 680
Xiaoting Chen China 15 248 1.2× 310 1.5× 204 1.4× 98 0.9× 37 0.5× 38 798
James P. Bertram United States 12 309 1.5× 257 1.2× 259 1.8× 48 0.4× 60 0.7× 14 935
Sung Mook Lim South Korea 15 221 1.0× 169 0.8× 231 1.6× 81 0.7× 35 0.4× 27 706

Countries citing papers authored by Siyuan Han

Since Specialization
Citations

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

Fields of papers citing papers by Siyuan Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siyuan Han

This figure shows the co-authorship network connecting the top 25 collaborators of Siyuan Han. A scholar is included among the top collaborators of Siyuan 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 Siyuan Han. Siyuan 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.
Sun, Jia, Ju Gao, Haixin Sun, et al.. (2025). Deep Learning for Segmenting Ischemic Stroke Infarction in Non-contrast CT Scans by Utilizing Asymmetry. Clinical Neuroradiology. 36(1). 129–142.
2.
Chen, Hao, Xiaofeng Li, Siyuan Han, et al.. (2025). Krüppel-like factor 15 ameliorates alcohol-induced liver injury in mice via regulation of the PFKFB3/AKT axis. Acta Pharmacologica Sinica. 47(2). 357–369.
3.
Li, Xiangping, Huijun Zhang, Yu Yin, et al.. (2025). ZIP8 modulates ferroptosis to drive esophageal carcinoma progression. Cell Death and Disease. 16(1). 366–366. 5 indexed citations
4.
Zhang, Huijun, Yu Yin, Xiangping Li, et al.. (2025). Ginger extract inhibits c-MET activation and suppresses osteosarcoma in vitro and in vivo. Cancer Cell International. 25(1). 130–130. 3 indexed citations
6.
Li, Lun, Benlong Yang, Hongyuan Li, et al.. (2019). Chinese multicentre prospective registry of breast cancer patient-reported outcome-reconstruction and oncoplastic cohort (PRO-ROC): a study protocol. BMJ Open. 9(12). e032945–e032945. 9 indexed citations
7.
Leng, Bing, Siyuan Han, Yijun Bao, et al.. (2016). The uncinate fasciculus as observed using diffusion spectrum imaging in the human brain. Neuroradiology. 58(6). 595–606. 32 indexed citations
8.
Wang, Yuxin, et al.. (2015). Prognostic significance of in situ and plasma levels of transforming growth factor β1, -2 and -3 in cutaneous melanoma. Molecular Medicine Reports. 11(6). 4508–4512. 11 indexed citations
9.
Wang, Yuxin, et al.. (2014). SUMO1 Genetic Polymorphisms May Contribute to the Risk of Nonsyndromic Cleft Lip With or Without Palate: A Meta-Analysis. Genetic Testing and Molecular Biomarkers. 18(9). 616–624. 13 indexed citations
10.
Wang, Yuxin, et al.. (2014). CD24 expression predicts poor prognosis for patients with cutaneous malignant melanoma.. PubMed. 7(11). 4337–41. 12 indexed citations
11.
Wang, Yuxin, et al.. (2013). Transforming Growth Factor-Beta3 Gene Polymorphisms and Nonsyndromic Cleft Lip and Palate Risk: A Meta-Analysis. Genetic Testing and Molecular Biomarkers. 17(12). 881–889. 13 indexed citations
12.
Han, Siyuan, et al.. (2013). Amphiphilic Poly(L-aspartic acid) Copolymer Nanoparticles for Cyclosporine A Delivery. Journal of Nanoscience and Nanotechnology. 13(2). 1444–1447. 2 indexed citations
13.
Guo, Shu, et al.. (2013). Distinct roles of different fragments of PDCD4 in regulating the metastatic behavior of B16 melanoma cells. International Journal of Oncology. 42(5). 1725–1733. 4 indexed citations
14.
Wang, Yuxin, et al.. (2012). CSMD1 exhibits antitumor activity in A375 melanoma cells through activation of the Smad pathway. APOPTOSIS. 17(9). 927–937. 43 indexed citations
15.
Li, Suping, et al.. (2012). Construction of hydroxypropyl-β-cyclodextrin copolymer nanoparticles and targeting delivery of paclitaxel. Journal of Nanoparticle Research. 14(8). 13 indexed citations
16.
Fan, Daiming, et al.. (2012). Oxymatrine inhibits collagen synthesis in keloid fibroblasts via inhibition of transforming growth factor‐β1/Smad signaling pathway. International Journal of Dermatology. 51(4). 463–472. 29 indexed citations
17.
Wang, Huan, et al.. (2010). Preparation of dextran–poly(lactide)–1,2-dipalmitoyl-sn-glycero-3-phosphoethanolamine copolymer and its micellar characteristics. Carbohydrate Polymers. 83(3). 1408–1413. 7 indexed citations
18.
Zheng, Dongming, et al.. (2009). A Chinese pedigree of cerebral autosomal recessive arteriopathy with subcortical infarcts and leukoencephalopathy (CARASIL): Clinical and radiological features. Journal of Clinical Neuroscience. 16(6). 847–849. 8 indexed citations
19.
Yao, Jinjian, Ying Chang, Jinghua Ren, et al.. (2008). Targeted screening of SiRNA directed HBV polymerase gene for effective inhibition of HBV expression. Journal of Huazhong University of Science and Technology [Medical Sciences]. 28(3). 266–271. 3 indexed citations
20.
Ren, Jinghua, Ju‐Sheng Lin, Xu D, et al.. (2006). Screening of efficient siRNA target sites directed against gatekeeper genes for DNA repair. Journal of Huazhong University of Science and Technology [Medical Sciences]. 26(6). 640–643. 2 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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