Fang Zhang

5.4k total citations · 1 hit paper
80 papers, 4.3k citations indexed

About

Fang Zhang is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Cancer Research. According to data from OpenAlex, Fang Zhang has authored 80 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 32 papers in Health, Toxicology and Mutagenesis and 9 papers in Cancer Research. Recurrent topics in Fang Zhang's work include Air Quality and Health Impacts (23 papers), Climate Change and Health Impacts (11 papers) and Heme Oxygenase-1 and Carbon Monoxide (7 papers). Fang Zhang is often cited by papers focused on Air Quality and Health Impacts (23 papers), Climate Change and Health Impacts (11 papers) and Heme Oxygenase-1 and Carbon Monoxide (7 papers). Fang Zhang collaborates with scholars based in China, United States and United Kingdom. Fang Zhang's co-authors include Wenjun Ding, Rui Wei, Xiaobei Deng, Peter S. Klein, Christopher J. Phiel, Nadia Gurvich, Laura J. Spece, Zhongbing Lu, Fang Long and Lijuan Wang and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Molecular Cell.

In The Last Decade

Fang Zhang

78 papers receiving 4.2k citations

Hit Papers

Polystyrene microplastic-induced oxidative stress trigger... 2024 2026 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fang Zhang China 35 1.9k 1.5k 550 478 410 80 4.3k
Lisa A. Dailey United States 43 3.1k 1.6× 2.3k 1.5× 803 1.5× 626 1.3× 410 1.0× 129 6.7k
Raymond Poon Canada 38 2.0k 1.0× 1.4k 1.0× 338 0.6× 232 0.5× 245 0.6× 142 5.4k
Rui Wei China 30 1.6k 0.8× 880 0.6× 197 0.4× 260 0.5× 265 0.6× 116 3.6k
Fei Han China 42 2.2k 1.2× 530 0.4× 307 0.6× 1.1k 2.2× 428 1.0× 242 5.6k
Chris D. Vulpe United States 52 2.8k 1.5× 2.3k 1.5× 451 0.8× 635 1.3× 263 0.6× 175 10.5k
Cristina Battaglia Italy 38 1.8k 0.9× 481 0.3× 412 0.7× 202 0.4× 331 0.8× 112 4.2k
Xiaodong Huang China 40 2.6k 1.4× 583 0.4× 364 0.7× 1.0k 2.2× 300 0.7× 213 6.1k
Patrick W. F. Hadoke United Kingdom 37 908 0.5× 857 0.6× 283 0.5× 247 0.5× 278 0.7× 110 4.0k
Andrew Williams Canada 46 2.0k 1.0× 2.1k 1.4× 234 0.4× 458 1.0× 271 0.7× 203 6.1k
Miroslav Machala Czechia 40 1.7k 0.9× 3.0k 2.0× 217 0.4× 920 1.9× 298 0.7× 167 5.5k

Countries citing papers authored by Fang Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Fang Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Zhang. A scholar is included among the top collaborators of Fang 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 Fang Zhang. Fang 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.
Dong, Jiahao, Ran Wei, Zhe Wang, et al.. (2024). Phosphodiesterase 7 inhibitor reduces stress-induced behavioral and cytoarchitectural changes in C57BL/6J mice by activating the BDNF/TrkB pathway. Frontiers in Pharmacology. 15. 1411652–1411652. 2 indexed citations
3.
Zhao, Chong, et al.. (2024). m6A reader IGF2BP1 reduces the sensitivity of nasopharyngeal carcinoma cells to Taxol by upregulation of AKT2. Anti-Cancer Drugs. 35(6). 501–511. 6 indexed citations
4.
Zhang, Fang, Jingting Jiang, & Xiao Zheng. (2023). Interleukin-1 receptor antagonist: An alternative therapy for cancer treatment. Life Sciences. 335. 122276–122276. 9 indexed citations
5.
Pridgeon, Chris S., Shiva S. Forootan, Fang Zhang, et al.. (2023). In Vivo Tumorigenicity of the 20q11.21 Amplicon in an Engraftment Model of hPSCs and Differentiated Liver Cells. PubMed. 19(1). 3–13. 1 indexed citations
7.
Wang, Yuanli, Jingyi Li, Guodong Zeng, et al.. (2022). Vanadium(IV)-Chlorodipicolinate Protects against Hepatic Steatosis by Ameliorating Lipid Peroxidation, Endoplasmic Reticulum Stress, and Inflammation. Antioxidants. 11(6). 1093–1093. 6 indexed citations
8.
Wang, Chunlin, et al.. (2021). Effects of Allocryptopine on the Proliferation and Epithelial-Mesenchymal Transition of Oral Squamous Cell Carcinoma through m6A Mediated Hedgehog Signaling Pathway. Journal of Environmental Pathology Toxicology and Oncology. 41(2). 15–24. 7 indexed citations
9.
Han, Xiao, Zezhong Zhang, Wenlan Yang, et al.. (2020). Epitranscriptomic 5-Methylcytosine Profile in PM2.5-Induced Mouse Pulmonary Fibrosis. Genomics Proteomics & Bioinformatics. 18(1). 41–51. 29 indexed citations
10.
Zhou, Su, Yingying Chen, Zezhong Zhang, et al.. (2020). Ovarian Dysfunction Induced by Chronic Whole‐Body PM2.5 Exposure. Small. 16(33). e2000845–e2000845. 87 indexed citations
12.
Yu, Ting, Fang Zhang, Jianli Chen, et al.. (2020). Detailed process analysis for glomerular capillary formation by immunofluorescence on ultra-thick sections. Gene Expression Patterns. 35. 119096–119096. 2 indexed citations
13.
Wan, Chong, et al.. (2018). MiR‐146a regulates PM1‐induced inflammation via NF‐κB signaling pathway in BEAS‐2B cells. Environmental Toxicology. 33(7). 743–751. 33 indexed citations
14.
Zhong, Qiang, et al.. (2017). Perfluorooctane sulphonate induces oxidative hepatic damage via mitochondria-dependent and NF-κB/TNF-α-mediated pathway. Chemosphere. 191. 1056–1064. 75 indexed citations
15.
Bai, Ru, Longfei Guan, Wei Zhang, et al.. (2016). Comparative study of the effects of PM1-induced oxidative stress on autophagy and surfactant protein B and C expressions in lung alveolar type II epithelial MLE-12 cells. Biochimica et Biophysica Acta (BBA) - General Subjects. 1860(12). 2782–2792. 26 indexed citations
16.
Yang, Binxia, et al.. (2011). Novel Functions for mda-7 /IL-24 and IL-24 delE5: Regulation of Differentiation of Acute Myeloid Leukemic Cells. Molecular Cancer Therapeutics. 10(4). 615–625. 21 indexed citations
17.
Valvezan, Alexander J., Fang Zhang, J. Alan Diehl, & Peter S. Klein. (2011). Adenomatous Polyposis Coli (APC) Regulates Multiple Signaling Pathways by Enhancing Glycogen Synthase Kinase-3 (GSK-3) Activity. Journal of Biological Chemistry. 287(6). 3823–3832. 74 indexed citations
18.
Zhang, Fang. (2009). Effect of nano-sized TiO_2 particles on rat kidney function by metabonomic approach. Journal of Toxicology. 2 indexed citations
19.
Thaker, Nikhil G., Peter R. McDonald, Fang Zhang, et al.. (2009). Designing, optimizing, and implementing high-throughput siRNA genomic screening with glioma cells for the discovery of survival genes and novel drug targets. Journal of Neuroscience Methods. 185(2). 204–212. 17 indexed citations
20.
Wang, Bing, Weiyue Feng, Meng Wang, et al.. (2007). Transport of Intranasally Instilled Fine Fe2O3 Particles into the Brain: Micro-distribution, Chemical States, and Histopathological Observation. Biological Trace Element Research. 118(3). 233–243. 120 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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