Hongbing Han

1.4k total citations
48 papers, 987 citations indexed

About

Hongbing Han is a scholar working on Molecular Biology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Hongbing Han has authored 48 papers receiving a total of 987 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 11 papers in Genetics and 10 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Hongbing Han's work include Reproductive Biology and Fertility (10 papers), CRISPR and Genetic Engineering (10 papers) and Animal Genetics and Reproduction (9 papers). Hongbing Han is often cited by papers focused on Reproductive Biology and Fertility (10 papers), CRISPR and Genetic Engineering (10 papers) and Animal Genetics and Reproduction (9 papers). Hongbing Han collaborates with scholars based in China, Pakistan and Indonesia. Hongbing Han's co-authors include Guangbin Zhou, Izhar Hyder Qazi, Bo Pan, Haoxuan Yang, Changjun Zeng, Christiana Angel, Linli Wang, Qingyong Meng, Evangelos Zoidis and Mengyao Wang and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Scientific Reports.

In The Last Decade

Hongbing Han

45 papers receiving 964 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongbing Han China 16 305 251 237 212 136 48 987
Izhar Hyder Qazi China 18 193 0.6× 308 1.2× 250 1.1× 356 1.7× 110 0.8× 44 979
Jiaxin Zhang China 15 299 1.0× 192 0.8× 61 0.3× 147 0.7× 108 0.8× 45 709
K.M. Kasperson United States 16 129 0.4× 476 1.9× 348 1.5× 528 2.5× 155 1.1× 21 1.2k
Adam Lepczyński Poland 12 172 0.6× 95 0.4× 198 0.8× 87 0.4× 42 0.3× 64 670
A. H. Bandivdekar India 16 255 0.8× 122 0.5× 48 0.2× 168 0.8× 80 0.6× 59 1.2k
Vanmathy Kasimanickam United States 19 218 0.7× 425 1.7× 59 0.2× 513 2.4× 362 2.7× 65 1.3k
Linlin Hu China 19 364 1.2× 194 0.8× 37 0.2× 100 0.5× 39 0.3× 69 952
M. Ożgo Poland 13 121 0.4× 84 0.3× 143 0.6× 86 0.4× 61 0.4× 69 546
Jianji Li China 17 222 0.7× 63 0.3× 155 0.7× 60 0.3× 46 0.3× 61 882
Petr Šíma Czechia 19 392 1.3× 59 0.2× 167 0.7× 49 0.2× 70 0.5× 62 1.4k

Countries citing papers authored by Hongbing Han

Since Specialization
Citations

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

Fields of papers citing papers by Hongbing Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongbing Han

This figure shows the co-authorship network connecting the top 25 collaborators of Hongbing Han. A scholar is included among the top collaborators of Hongbing 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 Hongbing Han. Hongbing 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.
Yang, Yuchen, Zihao Guo, Dayong Chen, et al.. (2025). EIMFS: Estimating intramuscular fat in sheep using a three-stage convolutional neural network based on ultrasound images. Computers and Electronics in Agriculture. 233. 110169–110169. 2 indexed citations
2.
Wang, Linli, Jian Chen, Jie Liu, et al.. (2025). An engineered CRISPR–Cas12i tool for efficient multiplexed genome editing. Nucleic Acids Research. 53(16).
3.
Wang, Linli & Hongbing Han. (2024). Strategies for improving the genome-editing efficiency of class 2 CRISPR/Cas system. Heliyon. 10(19). e38588–e38588. 12 indexed citations
4.
Zhang, Xiaosheng, et al.. (2023). Genome-wide epigenetic dynamics during postnatal skeletal muscle growth in Hu sheep. Communications Biology. 6(1). 1077–1077. 7 indexed citations
5.
Wang, Linli, et al.. (2023). Dynamic Changes in the Global Transcriptome of Postnatal Skeletal Muscle in Different Sheep. Genes. 14(6). 1298–1298. 4 indexed citations
6.
Wang, Mengyao, et al.. (2023). Interaction between alveolar macrophages and epithelial cells during Mycoplasma pneumoniae infection. Frontiers in Cellular and Infection Microbiology. 13. 1052020–1052020. 22 indexed citations
7.
Wang, Linli, Mengyao Wang, Bingkun Zhang, et al.. (2022). Microbiome and ileum transcriptome revealed the boosting effects of selenium yeast on egg production in aged laying hens. Animal nutrition. 10. 124–136. 13 indexed citations
8.
Yu, Qi, Xiaosheng Zhang, Yongsheng Wang, et al.. (2022). Domain fusion TLR2-4 enhances the autophagy-dependent clearance of Staphylococcus aureus in the genetic engineering goat. eLife. 11. 11 indexed citations
9.
Pan, Bo, Izhar Hyder Qazi, Shichao Guo, et al.. (2021). Melatonin improves the first cleavage of parthenogenetic embryos from vitrified–warmed mouse oocytes potentially by promoting cell cycle progression. Journal of Animal Science and Biotechnology. 12(1). 84–84. 17 indexed citations
10.
Fan, Ziyao, et al.. (2021). Autophagy in Staphylococcus aureus Infection. Frontiers in Cellular and Infection Microbiology. 11. 750222–750222. 23 indexed citations
11.
Qazi, Izhar Hyder, Haoxuan Yang, Christiana Angel, et al.. (2020). Impact of Dietary Selenium on Modulation of Expression of Several Non-Selenoprotein Genes Related to Key Ovarian Functions, Female Fertility, and Proteostasis: a Transcriptome-Based Analysis of the Aging Mice Ovaries. Biological Trace Element Research. 199(2). 633–648. 10 indexed citations
12.
Zhang, Li, Xiang Li, Wei Shao, et al.. (2018). An Alternative Method for Long-Term Culture of Chicken Embryonic Stem CellIn Vitro. Stem Cells International. 2018. 1–14. 6 indexed citations
13.
Shao, Wei, et al.. (2018). Isolation and characterization of ovine monocyte-derived macrophages from peripheral blood. Veterinary Immunology and Immunopathology. 205. 83–92. 4 indexed citations
14.
Shao, Wei, Xiaosheng Zhang, Jinlong Zhang, et al.. (2018). Overexpression of Toll-like receptor 4 enhances LPS-induced inflammatory response and inhibits Salmonella Typhimurium growth in ovine macrophages. European Journal of Cell Biology. 98(1). 36–50. 26 indexed citations
15.
Deng, Shoulong, Guangdong Li, Kun Yu, et al.. (2017). RNAi combining Sleeping Beauty transposon system inhibits ex vivo expression of foot-and-mouth disease virus VP1 in transgenic sheep cells. Scientific Reports. 7(1). 10065–10065. 8 indexed citations
16.
Wang, Zhixian, Yan Li, Xiaosheng Zhang, et al.. (2015). A 90-Day Toxicology Study of Meat from Genetically Modified Sheep Overexpressing TLR4 in Sprague-Dawley Rats. PLoS ONE. 10(4). e0121636–e0121636. 14 indexed citations
17.
Li, Wenting, Kejun Wang, Shoulong Deng, et al.. (2015). Tongue Epithelium Cells from shRNA Mediated Transgenic Goat Show High Resistance to Foot and Mouth Disease Virus. Scientific Reports. 5(1). 17897–17897. 4 indexed citations
18.
19.
Gao, Chao, Hongbing Han, Xiuzhi Tian, et al.. (2011). Melatonin promotes embryonic development and reduces reactive oxygen species in vitrified mouse 2‐cell embryos. Journal of Pineal Research. 52(3). 305–311. 115 indexed citations
20.
Han, Hongbing, Baolu Zhang, Jia Li, et al.. (2006). 4-NQO induces apoptosis via p53-dependent mitochondrial signaling pathway. Toxicology. 230(2-3). 151–163. 24 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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