Huazhen Liu

1.8k total citations · 1 hit paper
63 papers, 1.4k citations indexed

About

Huazhen Liu is a scholar working on Molecular Biology, Immunology and Animal Science and Zoology. According to data from OpenAlex, Huazhen Liu has authored 63 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 19 papers in Immunology and 14 papers in Animal Science and Zoology. Recurrent topics in Huazhen Liu's work include Gut microbiota and health (12 papers), Animal Nutrition and Physiology (10 papers) and Immune Response and Inflammation (9 papers). Huazhen Liu is often cited by papers focused on Gut microbiota and health (12 papers), Animal Nutrition and Physiology (10 papers) and Immune Response and Inflammation (9 papers). Huazhen Liu collaborates with scholars based in China, Pakistan and United States. Huazhen Liu's co-authors include Abdur Rahman Ansari, Muhammad Faheem Akhtar, Deshi Shi, Ziyu Ma, Xiaolong Zhang, Yan Chen, Jawaria Ali Khan, Kemei Peng, Lei Cui and Yafang Hu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Huazhen Liu

61 papers receiving 1.4k citations

Hit Papers

Gut microbiota-derived sh... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huazhen Liu China 21 549 314 188 167 145 63 1.4k
Xu Han China 22 476 0.9× 290 0.9× 89 0.5× 115 0.7× 51 0.4× 77 1.4k
Ruitang Deng United States 29 506 0.9× 208 0.7× 121 0.6× 179 1.1× 325 2.2× 46 2.3k
Paweł Janczyk Germany 26 602 1.1× 517 1.6× 84 0.4× 153 0.9× 224 1.5× 59 1.6k
Jiajie Sun China 31 1.7k 3.1× 294 0.9× 165 0.9× 216 1.3× 67 0.5× 151 3.0k
M. A. Qureshi United States 23 204 0.4× 843 2.7× 305 1.6× 235 1.4× 193 1.3× 61 1.6k
Xiuying Wang China 29 1.0k 1.9× 278 0.9× 461 2.5× 198 1.2× 96 0.7× 109 2.3k
Meimei Geng China 16 378 0.7× 372 1.2× 64 0.3× 63 0.4× 51 0.4× 24 993
Xiangfang Tang China 20 499 0.9× 236 0.8× 117 0.6× 153 0.9× 55 0.4× 62 1.2k
Jinquan Wang China 20 424 0.8× 394 1.3× 77 0.4× 233 1.4× 94 0.6× 90 1.3k

Countries citing papers authored by Huazhen Liu

Since Specialization
Citations

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

Fields of papers citing papers by Huazhen Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huazhen Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Huazhen Liu. A scholar is included among the top collaborators of Huazhen 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 Huazhen Liu. Huazhen 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.
Liu, Qiyao, Muhammad Faheem Akhtar, Na Kong, et al.. (2025). Early fecal microbiota transplantation continuously improves chicken growth performance by inhibiting age-related Lactobacillus decline in jejunum. Microbiome. 13(1). 49–49. 8 indexed citations
3.
Chen, Yan, Muhammad Faheem Akhtar, Ziyu Ma, et al.. (2023). Chicken cecal microbiota reduces abdominal fat deposition by regulating fat metabolism. npj Biofilms and Microbiomes. 9(1). 28–28. 43 indexed citations
4.
Ma, Ziyu, Muhammad Faheem Akhtar, Hong Pan, et al.. (2023). Fecal microbiota transplantation improves chicken growth performance by balancing jejunal Th17/Treg cells. Microbiome. 11(1). 137–137. 39 indexed citations
5.
Liu, Huazhen, et al.. (2022). BIRC7 is Beneficial for Melanoma Progression and Hypoxic Response. Clinical Cosmetic and Investigational Dermatology. Volume 15. 1109–1117. 2 indexed citations
6.
Qiu, Feifei, Weihui Lu, Shulin Ye, et al.. (2021). Berberine Promotes Induction of Immunological Tolerance to an Allograft via Downregulating Memory CD8+ T-Cells Through Altering the Gut Microbiota. Frontiers in Immunology. 12. 646831–646831. 8 indexed citations
7.
Akhtar, Muhammad Faheem, Yan Chen, Ziyu Ma, et al.. (2021). Gut microbiota-derived short chain fatty acids are potential mediators in gut inflammation. Animal nutrition. 8. 350–360. 217 indexed citations breakdown →
8.
Liu, Huazhen, Guoping Wang, Zuokun Yang, et al.. (2020). Identification and Characterization of a Pear Chlorotic Leaf Spot-Associated Virus, a Novel Emaravirus Associated with a Severe Disease of Pear Trees in China. Plant Disease. 104(11). 2786–2798. 29 indexed citations
9.
Cui, Lei, Xiaolong Zhang, Ranran Cheng, et al.. (2020). Sex differences in growth performance are related to cecal microbiota in chicken. Microbial Pathogenesis. 150. 104710–104710. 50 indexed citations
10.
Ansari, Abdur Rahman, Muhammad Arshad, Saima Masood, et al.. (2018). Salmonella infection may alter the expression of toll like receptor 4 and immune related cells in chicken bursa of Fabricius. Microbial Pathogenesis. 121. 59–64. 11 indexed citations
11.
Khaliq, Haseeb, Jing Wang, Ke Xiao, et al.. (2018). Boron Affects the Development of the Kidney Through Modulation of Apoptosis, Antioxidant Capacity, and Nrf2 Pathway in the African Ostrich Chicks. Biological Trace Element Research. 186(1). 226–237. 28 indexed citations
12.
Ansari, Abdur Rahman & Huazhen Liu. (2017). Acute Thymic Involution and Mechanisms for Recovery. Archivum Immunologiae et Therapiae Experimentalis. 65(5). 401–420. 31 indexed citations
13.
Xiao, Bo, et al.. (2016). La expresión de microARN-133 inhibe la transición epitelio-mesenquimatosa en las células del cáncer de pulmón apuntando directamente al FOXQ1. Archivos de Bronconeumología. 52(10). 505–511. 19 indexed citations
14.
Li, Congcong, Huabin He, An Liu, et al.. (2016). Natural Functional SNPs in miR-155 Alter Its Expression Level, Blood Cell Counts, and Immune Responses. Frontiers in Immunology. 7. 295–295. 12 indexed citations
15.
Ansari, Abdur Rahman, et al.. (2015). Expression Patterns of Toll-Like Receptor 4 in Pig Uterus during Pregnancy. Pakistan Veterinary Journal. 35(4). 466–469. 7 indexed citations
16.
Huang, Haibo, Ke Xiao, Keli Yang, et al.. (2015). Increased Thymic Cell Turnover under Boron Stress May Bypass TLR3/4 Pathway in African Ostrich. PLoS ONE. 10(6). e0129596–e0129596. 10 indexed citations
17.
Ansari, Abdur Rahman, et al.. (2015). Lipopolysaccharide stimulation upregulated Toll-like receptor 4 expression in chicken cerebellum. Veterinary Immunology and Immunopathology. 166(3-4). 145–150. 10 indexed citations
18.
Peng, Kemei, Erhui Jin, Yong Zhang, et al.. (2011). Effect of Additional Boron on Tibias of African Ostrich Chicks. Biological Trace Element Research. 144(1-3). 538–549. 41 indexed citations
19.
Wang, Jiaxiang, et al.. (2009). Distribution and morphology of argyrophilic cells in the digestive tract of the African ostrich. Tissue and Cell. 42(1). 65–68. 7 indexed citations
20.
Liu, Huazhen. (2005). The Effect of Energy on Serotonin-Like Neurons in Duck Hypothalamus. Agricultural Sciences in China. 4(2). 156–160. 1 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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