Deping Han

1.2k total citations
45 papers, 781 citations indexed

About

Deping Han is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Deping Han has authored 45 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 8 papers in Epidemiology and 7 papers in Cell Biology. Recurrent topics in Deping Han's work include Influenza Virus Research Studies (5 papers), melanin and skin pigmentation (5 papers) and Reproductive Biology and Fertility (4 papers). Deping Han is often cited by papers focused on Influenza Virus Research Studies (5 papers), melanin and skin pigmentation (5 papers) and Reproductive Biology and Fertility (4 papers). Deping Han collaborates with scholars based in China, United States and Indonesia. Deping Han's co-authors include Yanxin Hu, Yi Jin, Yunfei Ma, Ming Wang, Xuemei Deng, Guoying Hua, Jiankui Wang, Yuanyuan Zhang, Yuying Wang and Yan Xue and has published in prestigious journals such as PLoS ONE, Cancer Research and Journal of Virology.

In The Last Decade

Deping Han

44 papers receiving 776 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deping Han China 18 246 193 145 130 118 45 781
Milena Saqui–Salces United States 18 448 1.8× 126 0.7× 98 0.7× 162 1.2× 96 0.8× 56 1.1k
Shumin Yu China 20 438 1.8× 91 0.5× 123 0.8× 162 1.2× 68 0.6× 82 1.3k
Luying Cui China 18 291 1.2× 144 0.7× 216 1.5× 55 0.4× 53 0.4× 73 973
Annalisa Stefani Italy 18 158 0.6× 190 1.0× 80 0.6× 191 1.5× 107 0.9× 49 919
Wei Zeng China 15 252 1.0× 158 0.8× 89 0.6× 105 0.8× 151 1.3× 52 699
K.G. Tirumurugaan India 12 167 0.7× 146 0.8× 114 0.8× 43 0.3× 59 0.5× 36 547
Hengyong Xu China 17 390 1.6× 312 1.6× 96 0.7× 164 1.3× 32 0.3× 71 888
Hao Qu China 17 435 1.8× 389 2.0× 155 1.1× 315 2.4× 61 0.5× 72 1.1k
Yoon Jung South Korea 15 307 1.2× 60 0.3× 105 0.7× 141 1.1× 64 0.5× 43 952
Reza Rezaei Iran 15 321 1.3× 232 1.2× 94 0.6× 102 0.8× 44 0.4× 46 1.0k

Countries citing papers authored by Deping Han

Since Specialization
Citations

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

Fields of papers citing papers by Deping Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deping Han

This figure shows the co-authorship network connecting the top 25 collaborators of Deping Han. A scholar is included among the top collaborators of Deping 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 Deping Han. Deping 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.
Li, Lei, et al.. (2025). Magnetically induced magnetosome chain (MAGiC): A biogenic magnetic-particle-imaging tracer with high performance and navigability. Science Advances. 11(31). eadv2485–eadv2485. 1 indexed citations
2.
Han, Deping, et al.. (2024). In vitro culture and tissue-derived specific expression of melanocytes from ovary of adult Silky Fowl. Poultry Science. 103(4). 103379–103379.
3.
Li, Dan, Jing Lan, Deping Han, et al.. (2023). Activation of GABA receptor attenuates intestinal inflammation by modulating enteric glial cells function through inhibiting NF-κB pathway. Life Sciences. 329. 121984–121984. 21 indexed citations
4.
Wang, Jiankui, Kai Cui, Guoying Hua, et al.. (2023). Skin-specific transgenic overexpression of ovine β-catenin in mice. Frontiers in Genetics. 13. 1059913–1059913. 3 indexed citations
5.
Huo, Caiyun, Yuling Tang, Deping Han, et al.. (2023). Melatonin alleviates lung injury in H1N1-infected mice by mast cell inactivation and cytokine storm suppression. PLoS Pathogens. 19(5). e1011406–e1011406. 23 indexed citations
6.
Zhang, Xi, Mingpeng Li, Zhihong Huang, et al.. (2023). GMP development and preclinical validation of CAR-T cells targeting a lytic EBV antigen for therapy of EBV-associated malignancies. Frontiers in Immunology. 14. 1103695–1103695. 22 indexed citations
7.
Yang, Xue, Yuhao Ma, Zihan Xu, et al.. (2022). Cecum microbiome and metabolism characteristics of Silky Fowl and White Leghorn chicken in late laying stages. Frontiers in Microbiology. 13. 984654–984654. 14 indexed citations
8.
Yang, Xue, Jiankui Wang, Tun Li, et al.. (2022). Characteristics of Bacterial Microbiota in Different Intestinal Segments of Aohan Fine-Wool Sheep. Frontiers in Microbiology. 13. 874536–874536. 44 indexed citations
9.
Chen, Jianfei, Guoying Hua, Deping Han, et al.. (2021). An EAV-HP insertion in the promoter region of SLCO1B3 has pleiotropic effects on chicken liver metabolism based on the transcriptome and proteome analysis. Scientific Reports. 11(1). 7571–7571. 6 indexed citations
10.
Li, Chunyan, Qiuyue Liu, Xiangyu Wang, et al.. (2020). Expression and localization of PIWI proteins in testis and ovary of domestic sheep. Czech Journal of Animal Science. 65(3). 86–96. 6 indexed citations
11.
Chen, Jianfei, Deping Han, Guoying Hua, et al.. (2020). An EAV-HP insertion in the 5ʹ flanking region of SLCO1B3 is associated with its tissue-expression profile in blue-eggshell Yimeng chickens (Gallus gallus). Poultry Science. 99(12). 6371–6377. 6 indexed citations
12.
Li, Junying, Yuanyuan Zhang, Deping Han, et al.. (2019). Genomic Analysis Reveals Pleiotropic Alleles at EDN3 and BMP7 Involved in Chicken Comb Color and Egg Production. Frontiers in Genetics. 10. 612–612. 23 indexed citations
13.
14.
Liu, Jian, Deping Han, & Yawei Shi. (2018). Gene Cloning, Expression, and Antifungal Activities of Permatin from Naked Oat (Avena nuda). Probiotics and Antimicrobial Proteins. 11(1). 299–309. 7 indexed citations
15.
Su, Li, Zeng Wang, Fei Huang, et al.. (2018). 18β-Glycyrrhetinic acid mitigates radiation-induced skin damage via NADPH oxidase/ROS/p38MAPK and NF-κB pathways. Environmental Toxicology and Pharmacology. 60. 82–90. 38 indexed citations
16.
Zhang, Yuanyuan, Kai Cui, Zhenglin Yang, et al.. (2018). Molecular cloning and characterization of the endothelin 3 gene in black bone sheep. Journal of Animal Science and Biotechnology. 9(1). 57–57. 8 indexed citations
17.
Han, Deping, Yuanyuan Zhang, Jianfei Chen, et al.. (2017). Transcriptome analyses of differential gene expression in the bursa of Fabricius between Silky Fowl and White Leghorn. Scientific Reports. 7(1). 45959–45959. 17 indexed citations
18.
Han, Deping, et al.. (2016). Lower expression of sialic acid receptors in the cecum of silky fowl (Gallus gallus domesticus Brisson) compared to white leghorn. Poultry Science. 95(6). 1290–1295. 6 indexed citations
19.
Jia, Yuanyuan, et al.. (2016). Influence of the structural development of bursa on the susceptibility of chickens to infectious bursal disease virus. Poultry Science. 95(12). 2786–2794. 12 indexed citations
20.
Ma, Haiyan, Yunfei Ma, Xin Guo, et al.. (2013). Susceptibility of chicken Kupffer cells to Chinese virulent infectious bursal disease virus. Veterinary Microbiology. 164(3-4). 270–280. 8 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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