Wei Han

2.6k total citations
80 papers, 2.1k citations indexed

About

Wei Han is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Wei Han has authored 80 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 26 papers in Immunology and 21 papers in Cancer Research. Recurrent topics in Wei Han's work include Immune Response and Inflammation (15 papers), NF-κB Signaling Pathways (10 papers) and Immunotherapy and Immune Responses (8 papers). Wei Han is often cited by papers focused on Immune Response and Inflammation (15 papers), NF-κB Signaling Pathways (10 papers) and Immunotherapy and Immune Responses (8 papers). Wei Han collaborates with scholars based in China, United States and South Korea. Wei Han's co-authors include Timothy S. Blackwell, Fiona E. Yull, Vasiliy V. Polosukhin, Taylor P. Sherrill, Georgios T. Stathopoulos, Linda A. Gleaves, Yingqi Zhang, Dong‐Sheng Cheng, Barbara Fingleton and Jun Lin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Wei Han

74 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei Han China 21 903 530 435 387 343 80 2.1k
Haitao Zhu China 28 1.2k 1.4× 450 0.8× 295 0.7× 533 1.4× 320 0.9× 76 2.4k
Manash K. Paul United States 26 1.3k 1.5× 389 0.7× 477 1.1× 364 0.9× 613 1.8× 72 3.0k
Zhen Huang China 27 1.2k 1.3× 671 1.3× 351 0.8× 541 1.4× 207 0.6× 73 2.5k
Ciprian Tomuleasa Romania 26 1.3k 1.5× 336 0.6× 330 0.8× 675 1.7× 179 0.5× 181 2.6k
Elizabeth S. Ingham United States 26 908 1.0× 370 0.7× 783 1.8× 298 0.8× 178 0.5× 50 2.5k
Laura Conti Italy 31 961 1.1× 901 1.7× 268 0.6× 396 1.0× 237 0.7× 88 2.5k
Jaehyung Cho United States 31 1.1k 1.2× 765 1.4× 209 0.5× 181 0.5× 481 1.4× 84 3.4k
Hao Peng China 30 1.2k 1.3× 264 0.5× 234 0.5× 443 1.1× 180 0.5× 126 2.7k
Lijun Ma China 31 887 1.0× 232 0.4× 813 1.9× 392 1.0× 906 2.6× 103 2.7k
Zhengdong Cai China 28 1.4k 1.6× 505 1.0× 508 1.2× 628 1.6× 588 1.7× 91 2.9k

Countries citing papers authored by Wei Han

Since Specialization
Citations

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

Fields of papers citing papers by Wei Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Han

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Han. A scholar is included among the top collaborators of Wei 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 Wei Han. Wei 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.
Wang, Yong, Wei Han, Xingtao Wang, et al.. (2025). Interfacial ferroelectricity unlocks stable formamidinium-based perovskites. Nature Communications. 16(1). 9507–9507.
2.
Zhu, Xilin, Liqian Zhu, Guohong Chen, et al.. (2025). Generation of chicken induced pluripotent stem cells (iPSCs) from somatic cells using multi-lentiviral transduction and OAC2. Theriogenology. 247. 117567–117567.
3.
Ni, Tong, Zefeng Li, Tao Tan, et al.. (2024). Integrated Transcriptome Analysis Reveals Novel Molecular Signatures for Schizophrenia Characterization. Advanced Science. 12(2). e2407628–e2407628. 3 indexed citations
4.
Han, Wei, et al.. (2024). An Improved BBR Algorithm with Adaptive Congestion Control for LEO Satellite Networks. 39. 23–29. 1 indexed citations
5.
Hao, Shaolong, Haitao Sun, Hao Sun, et al.. (2023). STM2457 Inhibits the Invasion and Metastasis of Pancreatic Cancer by Down-Regulating BRAF-Activated Noncoding RNA N6-Methyladenosine Modification. Current Issues in Molecular Biology. 45(11). 8852–8863. 14 indexed citations
6.
Xie, Wanqing, Jing Hu, Qiao Mei, et al.. (2023). Deep learning–based lesion detection and severity grading of small-bowel Crohn’s disease ulcers on double-balloon endoscopy images. Gastrointestinal Endoscopy. 99(5). 767–777.e5. 11 indexed citations
8.
Li, Jia-Kai, Mingming Meng, Sheng Zhao, et al.. (2016). Bone marrow stromal cells induced activation of nuclear factor κB signaling protects non-Hodgkin’s B lymphoma cells from apoptosis. Tumor Biology. 37(8). 10745–10752. 8 indexed citations
9.
Han, Wei, et al.. (2015). Influence of T-2 toxin on nutrient apparent digestibility and small intestinal morphology in BALB/c mice.. 46(9). 1584–1592. 1 indexed citations
10.
Han, Wei, Zheyuan Wang, Yingzhen Wang, et al.. (2015). Hepatocellular Carcinoma Growth Is Inhibited byEuphorbia helioscopiaL. Extract in Nude Mice Xenografts. BioMed Research International. 2015. 1–9. 23 indexed citations
11.
Zhang, You Cheng, et al.. (2013). BML-111, a lipoxin receptor agonist, ameliorates ‘two-hit’-induced acute pancreatitis-associated lung injury in mice by the upregulation of heme oxygenase-1. Artificial Cells Nanomedicine and Biotechnology. 42(2). 110–120. 16 indexed citations
12.
Karabela, Sophia P., Ioannis Psallidas, Taylor P. Sherrill, et al.. (2012). Opposing effects of bortezomib-induced nuclear factor- B inhibition on chemical lung carcinogenesis. Carcinogenesis. 33(4). 859–867. 13 indexed citations
13.
Zou, Duohong, Zhiyuan Zhang, Jiacai He, et al.. (2011). Repairing critical-sized calvarial defects with BMSCs modified by a constitutively active form of hypoxia-inducible factor-1α and a phosphate cement scaffold. Biomaterials. 32(36). 9707–9718. 100 indexed citations
14.
Wan, Yi, Shifang Yuan, Xiaochang Xue, et al.. (2009). The preventive effect of adjuvant-free administration of TNF-PADRE autovaccine on collagen-II-induced rheumatoid arthritis in mice. Cellular Immunology. 258(1). 72–77. 5 indexed citations
15.
Li, Yonghong, Wei Han, Yongchao Zhang, et al.. (2008). Intramuscular Electroporation of a Plasmid Encoding Human Plasminogen Kringle 5 Induces Growth Inhibition of Lewis Lung Carcinoma in Mice. Cancer Biotherapy and Radiopharmaceuticals. 23(3). 332–341. 5 indexed citations
16.
Meng, Jieru, Zhen Yan, Yongjie Wu, et al.. (2007). Preclinical safety evaluation of IFNα2a-NGR. Regulatory Toxicology and Pharmacology. 50(3). 294–302. 7 indexed citations
17.
You, Yanjie, Xiaochang Xue, Meng Li, et al.. (2007). Inhibition effect of pcDNA-tum-5 on the growth of S180 tumor. Cytotechnology. 56(2). 97–104. 11 indexed citations
18.
Yan, Zhen, Lu Li, Jihong Shi, et al.. (2006). Expression, Refolding, and Characterization of GFE Peptide-Fused Human Interferon-α2a in Escherichia coli. Applied Biochemistry and Biotechnology. 133(2). 149–162. 5 indexed citations
19.
Meng, Jieru, Nan Ma, Zhen Yan, Wei Han, & Yingqi Zhang. (2006). NGR Enhanced the Anti-Angiogenic Activity of tum-5. The Journal of Biochemistry. 140(2). 299–304. 12 indexed citations
20.
Musiek, Erik S., Ling Gao, Ginger L. Milne, et al.. (2005). Cyclopentenone Isoprostanes Inhibit the Inflammatory Response in Macrophages. Journal of Biological Chemistry. 280(42). 35562–35570. 80 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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