Fa‐Li Zhang

1.1k total citations
46 papers, 777 citations indexed

About

Fa‐Li Zhang is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Immunology. According to data from OpenAlex, Fa‐Li Zhang has authored 46 papers receiving a total of 777 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 9 papers in Public Health, Environmental and Occupational Health and 9 papers in Immunology. Recurrent topics in Fa‐Li Zhang's work include Reproductive Biology and Fertility (7 papers), Iron Metabolism and Disorders (7 papers) and Cancer-related molecular mechanisms research (6 papers). Fa‐Li Zhang is often cited by papers focused on Reproductive Biology and Fertility (7 papers), Iron Metabolism and Disorders (7 papers) and Cancer-related molecular mechanisms research (6 papers). Fa‐Li Zhang collaborates with scholars based in China, Hong Kong and Italy. Fa‐Li Zhang's co-authors include Wei Shen, Zhong‐Ming Qian, Junjie Wang, Ya Ke, Long Tai Zheng, Xuechu Zhen, Massimo De Felici, Yufu Zhou, Wei Ge and Li Kong and has published in prestigious journals such as The Science of The Total Environment, Hepatology and Journal of Hazardous Materials.

In The Last Decade

Fa‐Li Zhang

43 papers receiving 773 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fa‐Li Zhang China 18 316 119 113 112 86 46 777
Liping Li China 17 507 1.6× 36 0.3× 58 0.5× 53 0.5× 37 0.4× 49 786
Jeffrey H. Ware United States 23 522 1.7× 118 1.0× 50 0.4× 130 1.2× 21 0.2× 38 1.1k
Nunzia Pastore Italy 15 513 1.6× 41 0.3× 76 0.7× 113 1.0× 19 0.2× 24 1.2k
Claus Desler Denmark 19 820 2.6× 40 0.3× 129 1.1× 146 1.3× 60 0.7× 52 1.3k
Susan Wu United States 19 255 0.8× 109 0.9× 74 0.7× 114 1.0× 25 0.3× 29 864
Yukiko Sasazawa Japan 15 644 2.0× 40 0.3× 110 1.0× 70 0.6× 36 0.4× 32 1.1k
So Jin Bing South Korea 15 218 0.7× 55 0.5× 233 2.1× 34 0.3× 73 0.8× 35 707
Daniela Cosentino‐Gomes Brazil 13 349 1.1× 29 0.2× 166 1.5× 61 0.5× 33 0.4× 23 801
Scott M. Plafker United States 22 948 3.0× 68 0.6× 144 1.3× 77 0.7× 79 0.9× 37 1.4k

Countries citing papers authored by Fa‐Li Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Fa‐Li Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fa‐Li Zhang. 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 Fa‐Li Zhang. The network helps show where Fa‐Li Zhang may publish in the future.

Co-authorship network of co-authors of Fa‐Li Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Fa‐Li Zhang. A scholar is included among the top collaborators of Fa‐Li Zhang 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 Fa‐Li Zhang. Fa‐Li Zhang 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.
Zhang, Cuizhen, et al.. (2025). A Machine Learning-Based Hypoxia-Related Gene Signatures to Facilitate Prediction of Cetuximab Response in Patients with Colorectal Cancer. International Journal of Medical Sciences. 22(14). 3749–3762.
2.
Zhang, Fa‐Li, Aiying Li, Pei Li, et al.. (2025). Mitochondrial dysfunction-mediated metabolic remodeling of TCA cycle promotes Parkinson’s disease through inhibition of H3K4me3 demethylation. Cell Death Discovery. 11(1). 351–351. 1 indexed citations
3.
Zhang, Fa‐Li, Yu Xiao, Yingyu Wang, et al.. (2024). Upregulation of GPX4 drives ferroptosis resistance in scleroderma skin fibroblasts. Free Radical Biology and Medicine. 221. 23–30. 10 indexed citations
4.
Zhang, Fa‐Li, et al.. (2024). Bacillus licheniformis ameliorates Aflatoxin B1-induced testicular damage by improving the gut-metabolism-testis axis. Journal of Hazardous Materials. 468. 133836–133836. 22 indexed citations
5.
Zhang, Fa‐Li, et al.. (2023). In vivo antibacterial activity of medicinal plant Sophora flavescens against Streptococcus agalactiae infection. Journal of Fish Diseases. 46(9). 977–986. 6 indexed citations
6.
Zhang, Fa‐Li, Weidong Li, Xu Zhou, et al.. (2023). Aging-related aneuploidy is associated with mitochondrial imbalance and failure of spindle assembly. Cell Death Discovery. 9(1). 235–235. 8 indexed citations
7.
Zhang, Fa‐Li, et al.. (2023). Induced differentiation of primordial germ cell like cells from SOX9+ porcine skin derived stem cells. Theriogenology. 212. 129–139. 3 indexed citations
8.
Zhang, Fa‐Li, Jingya Wang, Min Zhang, et al.. (2023). Cross-species analysis of transcriptome emphasizes a critical role of TNF-α in mediating MAP2K7/AKT2 signaling in zearalenone-induced apoptosis. Journal of Hazardous Materials. 459. 132226–132226. 14 indexed citations
9.
Cai, Jun, et al.. (2023). Linker remodels human Galectin-8 structure and regulates its hemagglutination and pro-apoptotic activity. International Journal of Biological Macromolecules. 245. 125456–125456. 5 indexed citations
10.
Wang, Jingya, Fa‐Li Zhang, Ning Zuo, et al.. (2023). Cyanidin-3-O-Glucoside Rescues Zearalenone-Induced Apoptosis via the ITGA7-PI3K-AKT Signaling Pathway in Porcine Ovarian Granulosa Cells. International Journal of Molecular Sciences. 24(5). 4441–4441. 8 indexed citations
11.
Zhang, Fa‐Li, Weidong Li, Geng Zhang, et al.. (2023). Identification of unique transcriptomic signatures through integrated multispecies comparative analysis and WGCNA in bovine oocyte development. BMC Genomics. 24(1). 265–265. 10 indexed citations
12.
Li, Xiuxiu, Fa‐Li Zhang, Jingya Wang, et al.. (2023). LncRNA profiles of Cyanidin-3-O-glucoside ameliorated Zearalenone-induced damage in porcine granulosa cells. Gene. 884. 147693–147693. 3 indexed citations
13.
14.
Liu, Wen‐Xiang, Shao‐Jing Tan, Yu‐Feng Wang, et al.. (2022). Melatonin promotes the proliferation of primordial germ cell‐like cells derived from porcine skin‐derived stem cells: A mechanistic analysis. Journal of Pineal Research. 73(4). e12833–e12833. 8 indexed citations
15.
Zhang, Xiaoyuan, Jianhua Guo, Fa‐Li Zhang, et al.. (2022). Transcriptional Specificity Analysis of Testis and Epididymis Tissues in Donkey. Genes. 13(12). 2339–2339. 8 indexed citations
16.
Guo, Rong, Jianxing Chen, Wei Shen, et al.. (2022). Comparison of gut microflora of donkeys in high and low altitude areas. Frontiers in Microbiology. 13. 964799–964799. 12 indexed citations
17.
Zhang, Fa‐Li, et al.. (2022). Comparative transcriptomic analysis reveals that TPX2 and AURXA are involved in porcine PCV2 infection. Gene. 834. 146649–146649. 5 indexed citations
18.
Ma, Juan, Fa‐Li Zhang, Gan Zhou, et al.. (2018). Different Characteristics of Hepcidin Expression in IL-6+/+ and IL-6−/− Neurons and Astrocytes Treated with Lipopolysaccharides. Neurochemical Research. 43(8). 1624–1630. 23 indexed citations
19.
Zhang, Fa‐Li, Huimin Hou, Zhinan Yin, et al.. (2017). Impairment of Hepcidin Upregulation by Lipopolysaccharide in the Interleukin-6 Knockout Mouse Brain. Frontiers in Molecular Neuroscience. 10. 367–367. 26 indexed citations
20.
Zhang, Fa‐Li, Gang Chen, Jay Liu, et al.. (2016). Clk1 deficiency promotes neuroinflammation and subsequent dopaminergic cell death through regulation of microglial metabolic reprogramming. Brain Behavior and Immunity. 60. 206–219. 48 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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