Han Liu

2.3k total citations
71 papers, 1.7k citations indexed

About

Han Liu is a scholar working on Immunology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Han Liu has authored 71 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Immunology, 25 papers in Molecular Biology and 10 papers in Infectious Diseases. Recurrent topics in Han Liu's work include Aquaculture disease management and microbiota (14 papers), interferon and immune responses (8 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (8 papers). Han Liu is often cited by papers focused on Aquaculture disease management and microbiota (14 papers), interferon and immune responses (8 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (8 papers). Han Liu collaborates with scholars based in China, United States and Australia. Han Liu's co-authors include Weimin Wang, Smitha Antony, Jennifer L. Meitzler, Jiamo Lu, Ágnes Juhász, James H. Doroshow, Krishnendu Roy, Guojian Jiang, Ivan Jakovlić and Yongzhong Wu and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Cancer Research.

In The Last Decade

Han Liu

67 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Han Liu China 24 645 618 211 206 199 71 1.7k
Pengfei Li China 26 811 1.3× 1.0k 1.7× 137 0.6× 153 0.7× 127 0.6× 151 2.1k
Dan Xu China 23 818 1.3× 596 1.0× 64 0.3× 218 1.1× 93 0.5× 106 1.8k
Jiao Zhang China 29 248 0.4× 995 1.6× 88 0.4× 299 1.5× 161 0.8× 94 1.9k
Ming Jiang China 28 507 0.8× 880 1.4× 82 0.4× 246 1.2× 81 0.4× 90 2.2k
Alip Borthakur United States 29 215 0.3× 1.0k 1.6× 184 0.9× 182 0.9× 151 0.8× 73 2.0k
Wangta Liu Taiwan 25 359 0.6× 520 0.8× 102 0.5× 143 0.7× 65 0.3× 64 1.4k
Jiann‐Ruey Hong Taiwan 25 822 1.3× 587 0.9× 301 1.4× 97 0.5× 43 0.2× 52 1.6k
Manuel Valenzuela Chile 25 430 0.7× 784 1.3× 52 0.2× 229 1.1× 75 0.4× 70 2.0k
Shu‐Mei Liang Taiwan 30 648 1.0× 1.1k 1.8× 143 0.7× 157 0.8× 87 0.4× 81 2.2k

Countries citing papers authored by Han Liu

Since Specialization
Citations

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

Fields of papers citing papers by Han Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Han Liu. A scholar is included among the top collaborators of Han Liu 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 Han Liu. Han Liu 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
2.
Miao, Xiaolong, et al.. (2023). Cardiomyocytic cyclic GMP-AMP synthase is critical for the induction of experimental cardiac graft rejection. Journal of Thoracic and Cardiovascular Surgery. 166(5). e406–e427. 5 indexed citations
3.
Su, Li, Tingting Zhu, Han Liu, et al.. (2023). The miR-100-5p Targets SMARCA5 to Regulate the Apoptosis and Intracellular Survival of BCG in Infected THP-1 Cells. Cells. 12(3). 476–476. 4 indexed citations
4.
Wang, Yong, Bingyi Chen, Yongbo Liu, et al.. (2023). ABIN1 (Q478) is Required to Prevent Hematopoietic Deficiencies through Regulating Type I IFNs Expression. Advanced Science. 11(3). e2303555–e2303555. 2 indexed citations
5.
Chen, Jing, Han Liu, Ravi Gooneratne, Yao Wang, & Weimin Wang. (2022). Population Genomics of Megalobrama Provides Insights into Evolutionary History and Dietary Adaptation. Biology. 11(2). 186–186. 13 indexed citations
6.
Zhu, Xiaojie, Jieru Wang, Han Liu, et al.. (2022). Mycobacterium tuberculosis Rv0309 Dampens the Inflammatory Response and Enhances Mycobacterial Survival. Frontiers in Immunology. 13. 829410–829410. 12 indexed citations
7.
Chen, Yingyu, Kailun Zhang, Han Liu, et al.. (2021). Small RNA Profiling in Mycobacterium Provides Insights Into Stress Adaptability. Frontiers in Microbiology. 12. 752537–752537. 4 indexed citations
8.
Chen, Jing, et al.. (2021). Ribonuclease1 contributes to the antibacterial response and immune defense in blunt snout bream (Megalobrama amblycephala). International Journal of Biological Macromolecules. 172. 309–320. 5 indexed citations
9.
Li, Bowen, et al.. (2020). A novel Kunitz-type neurotoxin peptide identified from skin secretions of the frog Amolops loloensis. Biochemical and Biophysical Research Communications. 528(1). 99–104. 2 indexed citations
11.
Wei, Jin, Xianwu Guo, Han Liu, Yuanyuan Chen, & Weimin Wang. (2018). The variation profile of intestinal microbiota in blunt snout bream (Megalobrama amblycephala) during feeding habit transition. BMC Microbiology. 18(1). 99–99. 30 indexed citations
12.
Zhan, Fanbin, Han Liu, Ruifang Lai, et al.. (2016). Molecular identification and functional characterisation of the interferon regulatory factor 1 in the blunt snout bream (Megalobrama amblycephala). Fish & Shellfish Immunology. 54. 456–465. 8 indexed citations
13.
Lai, Ruifang, Ivan Jakovlić, Han Liu, et al.. (2016). Molecular characterization and immunological response analysis of toll-like receptors from the blunt snout bream ( Megalobrama amblycephala ). Developmental & Comparative Immunology. 67. 471–475. 17 indexed citations
14.
Jakovlić, Ivan, et al.. (2016). Identification, origin and evidence for retained functionality of two IκBα paralogs in Megalobrama amblycephala. Developmental & Comparative Immunology. 62. 89–96. 9 indexed citations
15.
Dong, Nan, Liurong Fang, Hao Yang, et al.. (2016). Isolation, genomic characterization, and pathogenicity of a Chinese porcine deltacoronavirus strain CHN-HN-2014. Veterinary Microbiology. 196. 98–106. 103 indexed citations
16.
Liu, Han, et al.. (2015). A rapid in vivo zebrafish model to elucidate oxidative stress-mediated PCB126-induced apoptosis and developmental toxicity. Free Radical Biology and Medicine. 84. 91–102. 30 indexed citations
17.
Meitzler, Jennifer L., Smitha Antony, Yongzhong Wu, et al.. (2013). NADPH Oxidases: A Perspective on Reactive Oxygen Species Production in Tumor Biology. Antioxidants and Redox Signaling. 20(17). 2873–2889. 161 indexed citations
18.
Liu, Han, Jian Wu, Yongpeng Li, et al.. (2011). The chloroplast ribosomal protein L21 gene is essential for plastid development and embryogenesis in Arabidopsis. Planta. 235(5). 907–921. 43 indexed citations
19.
Brovko, Lubov, et al.. (2009). Photodynamic Treatment: A Novel Method for Sanitation of Food Handling and Food Processing Surfaces. Journal of Food Protection. 72(5). 1020–1024. 45 indexed citations
20.
Liu, Han, et al.. (2009). Optimizing cellulase production of Penicillium waksmanii F10-2 with response surface methodology. AFRICAN JOURNAL OF BIOTECHNOLOGY. 8(16). 3879–3886. 16 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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