Fang Jia-Zhu

641 total citations
11 papers, 528 citations indexed

About

Fang Jia-Zhu is a scholar working on Immunology, Molecular Biology and Clinical Biochemistry. According to data from OpenAlex, Fang Jia-Zhu has authored 11 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 5 papers in Molecular Biology and 3 papers in Clinical Biochemistry. Recurrent topics in Fang Jia-Zhu's work include Immune Response and Inflammation (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and Advanced Glycation End Products research (3 papers). Fang Jia-Zhu is often cited by papers focused on Immune Response and Inflammation (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and Advanced Glycation End Products research (3 papers). Fang Jia-Zhu collaborates with scholars based in China and United States. Fang Jia-Zhu's co-authors include Shao Bo Su, Dan Fang, Qing Lin, Xiangrong Ren, Feng Wen, Hongyan Zhou, Xialin Liu, Mingcai Li, Ze‐Guang Han and Xiaoping Yang and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Fang Jia-Zhu

11 papers receiving 521 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fang Jia-Zhu China 11 223 191 81 66 54 11 528
Jennifer Kench United States 10 214 1.0× 424 2.2× 25 0.3× 26 0.4× 55 1.0× 12 792
Jun Tan China 12 332 1.5× 244 1.3× 201 2.5× 51 0.8× 78 1.4× 33 800
Yaou Zhou China 10 333 1.5× 106 0.6× 106 1.3× 7 0.1× 45 0.8× 33 604
Lan Yang China 19 607 2.7× 128 0.7× 370 4.6× 15 0.2× 60 1.1× 29 925
Monika Ryba‐Stanisławowska Poland 12 114 0.5× 349 1.8× 20 0.2× 10 0.2× 64 1.2× 39 625
Seong‐Lan Yu South Korea 13 222 1.0× 88 0.5× 116 1.4× 11 0.2× 36 0.7× 38 474
Erna Sziksz Hungary 14 207 0.9× 167 0.9× 115 1.4× 11 0.2× 93 1.7× 29 665
Mahmoud Al‐Azab China 12 273 1.2× 107 0.6× 80 1.0× 5 0.1× 42 0.8× 29 566
Guohong Shao United States 13 360 1.6× 199 1.0× 28 0.3× 5 0.1× 80 1.5× 18 672
Jianxia Peng China 12 190 0.9× 407 2.1× 51 0.6× 7 0.1× 75 1.4× 13 635

Countries citing papers authored by Fang Jia-Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Fang Jia-Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fang Jia-Zhu. 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 Fang Jia-Zhu. The network helps show where Fang Jia-Zhu may publish in the future.

Co-authorship network of co-authors of Fang Jia-Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Jia-Zhu. A scholar is included among the top collaborators of Fang Jia-Zhu 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 Fang Jia-Zhu. Fang Jia-Zhu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
2.
Zhang, Liang, Huanyu Wang, Tianshu Yang, et al.. (2015). Formylpeptide receptor 1 mediates the tumorigenicity of human hepatocellular carcinoma cells. OncoImmunology. 5(2). e1078055–e1078055. 14 indexed citations
3.
Jia-Zhu, Fang, et al.. (2015). Hepatocyte-Specific Arid1a Deficiency Initiates Mouse Steatohepatitis and Hepatocellular Carcinoma. PLoS ONE. 10(11). e0143042–e0143042. 34 indexed citations
4.
Wang, Lu, Jing Wang, Fang Jia-Zhu, et al.. (2015). High glucose induces and activates Toll-like receptor 4 in endothelial cells of diabetic retinopathy. Diabetology & Metabolic Syndrome. 7(1). 89–89. 68 indexed citations
5.
Wang, Yuping, Liyu Huang, Weiming Sun, et al.. (2013). Insulin receptor tyrosine kinase substrate activates EGFR/ERK signalling pathway and promotes cell proliferation of hepatocellular carcinoma. Cancer Letters. 337(1). 96–106. 38 indexed citations
6.
Lin, Qing, Mingcai Li, Dan Fang, Fang Jia-Zhu, & Shao Bo Su. (2011). The essential roles of Toll-like receptor signaling pathways in sterile inflammatory diseases. International Immunopharmacology. 11(10). 1422–1432. 81 indexed citations
7.
Lin, Qing, Fang Jia-Zhu, Dan Fang, et al.. (2011). Production of recombinant human HMGB1 and anti-HMGB1 rabbit serum. International Immunopharmacology. 11(6). 646–651. 12 indexed citations
8.
Lin, Qing, Xiao Yang, Dan Fang, et al.. (2011). High-Mobility Group Box-1 Mediates Toll-Like Receptor 4–Dependent Angiogenesis. Arteriosclerosis Thrombosis and Vascular Biology. 31(5). 1024–1032. 83 indexed citations
9.
Lin, Qing, Dan Fang, Fang Jia-Zhu, et al.. (2011). Impaired Wound Healing with Defective Expression of Chemokines and Recruitment of Myeloid Cells in TLR3-Deficient Mice. The Journal of Immunology. 186(6). 3710–3717. 89 indexed citations
10.
Lin, Qing, Dan Fang, Xinwei Hou, et al.. (2011). HCV Peptide (C5A), an Amphipathic α-Helical Peptide of Hepatitis Virus C, Is an Activator of N-Formyl Peptide Receptor in Human Phagocytes. The Journal of Immunology. 186(4). 2087–2094. 26 indexed citations
11.
Jia-Zhu, Fang, Dan Fang, Phyllis B. Silver, et al.. (2010). The Role of TLR2, TRL3, TRL4, and TRL9 Signaling in the Pathogenesis of Autoimmune Disease in a Retinal Autoimmunity Model. Investigative Ophthalmology & Visual Science. 51(6). 3092–3092. 54 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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