Fang Yu

2.0k total citations
66 papers, 1.5k citations indexed

About

Fang Yu is a scholar working on Immunology, Molecular Biology and Physiology. According to data from OpenAlex, Fang Yu has authored 66 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Immunology, 19 papers in Molecular Biology and 14 papers in Physiology. Recurrent topics in Fang Yu's work include Mast cells and histamine (11 papers), Asthma and respiratory diseases (11 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). Fang Yu is often cited by papers focused on Mast cells and histamine (11 papers), Asthma and respiratory diseases (11 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). Fang Yu collaborates with scholars based in China, United States and Sweden. Fang Yu's co-authors include Zou Xiang, Chaoshu Tang, Wei Kong, Junbao Du, Bin Geng, Yi Fu, Hongfeng Jiang, Lin Chang, Jing Zhao and Ted R. Mikuls and has published in prestigious journals such as Journal of the American Chemical Society, Circulation and Nature Communications.

In The Last Decade

Fang Yu

62 papers receiving 1.5k 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 Yu China 19 386 380 369 227 149 66 1.5k
H. Turki Tunisia 26 411 1.1× 552 1.5× 447 1.2× 186 0.8× 32 0.2× 272 2.7k
Kazuhiko Arima Japan 29 820 2.1× 516 1.4× 787 2.1× 318 1.4× 64 0.4× 175 2.8k
Reena Sharma India 21 251 0.7× 150 0.4× 166 0.4× 359 1.6× 38 0.3× 146 1.5k
Amol Gadbail India 23 476 1.2× 90 0.2× 183 0.5× 269 1.2× 79 0.5× 116 2.3k
Giuliano Zabucchi Italy 28 668 1.7× 902 2.4× 169 0.5× 521 2.3× 42 0.3× 94 2.2k
Samuel T. Test United States 14 580 1.5× 759 2.0× 98 0.3× 550 2.4× 85 0.6× 18 2.0k
Kouhei Yamashita Japan 26 648 1.7× 945 2.5× 369 1.0× 155 0.7× 40 0.3× 129 2.5k
Martina Kovářová United States 24 911 2.4× 1.1k 3.0× 162 0.4× 387 1.7× 31 0.2× 47 2.3k
Mingjie Wang China 22 747 1.9× 168 0.4× 65 0.2× 122 0.5× 194 1.3× 96 1.7k

Countries citing papers authored by Fang Yu

Since Specialization
Citations

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

Fields of papers citing papers by Fang Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Yu. A scholar is included among the top collaborators of Fang Yu 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 Yu. Fang Yu 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.
Yu, Fang, Qiannan Zhang, Junwei Yan, & Shanshan Yu. (2025). Application of radiomics in acute and severe non-neoplastic diseases: A literature review. Journal of Critical Care. 87. 155027–155027.
2.
He, Jingjing, et al.. (2024). S100A4 promotes experimental autoimmune encephalomyelitis by impacting microglial inflammation through TLR4/NF-κB signaling pathway. International Immunopharmacology. 142(Pt A). 112849–112849. 5 indexed citations
3.
Yu, Fang, Qian Yuan, Xuerou Sheng, et al.. (2024). Understanding carbon footprint: An evaluation criterion for achieving sustainable development. Chinese Journal of Population Resources and Environment. 22(4). 367–375. 3 indexed citations
4.
Gan, Shenglian, et al.. (2024). Visceral fat area is more strongly associated with arterial stiffness than abdominal subcutaneous fat area in Chinese patients with type 2 diabetes. Diabetology & Metabolic Syndrome. 16(1). 123–123. 2 indexed citations
5.
Yang, Zilin, Dan Wang, Li-Ping Geng, et al.. (2023). Dual-carbon development opportunities and challenges in the property industry: A key role in China’s low-carbon transition. SHILAP Revista de lepidopterología. 441. 3022–3022.
6.
Yu, Fang, Xiaojia Chen, Zhang Zhang, et al.. (2023). Twenty versus 40 back-and-forth needle movements for endoscopic ultrasound-guided fine-needle biopsy of solid pancreatic masses: a prospective, crossover, randomized study. European Journal of Gastroenterology & Hepatology. 35(8). 836–842. 2 indexed citations
7.
Ma, Lan, Jingjing He, Ke Chen, et al.. (2021). S100A4 Is Critical for a Mouse Model of Allergic Asthma by Impacting Mast Cell Activation. Frontiers in Immunology. 12. 692733–692733. 15 indexed citations
8.
Li, Yuanyuan, Feng Jin, Fang Yu, et al.. (2019). Downregulation of the circadian Period family genes is positively correlated with poor head and neck squamous cell carcinoma prognosis. Chronobiology International. 36(12). 1723–1732. 10 indexed citations
9.
Li, Shan, Chun Qiao, Lijia Yang, et al.. (2019). Fumarate hydratase deficiency induces chronic myeloid leukemia progression. Translational Cancer Research. 8(2). 592–602. 1 indexed citations
10.
Jin, Feng, Wei-Li Wu, Yuanyuan Li, et al.. (2018). An analysis on the combination of chrono-chemotherapy with different speed rate and concomitant intensity-modulated radiotherapy in the treatment of locally advanced nasopharyngeal carcinoma. Zhonghua fangshe yixue yu fanghu zazhi. 38(4). 278–284. 1 indexed citations
11.
Yu, Fang, Roberta Rasotto, Hong Zhang, et al.. (2017). Evaluation of expression of the Wnt signaling components in canine mammary tumors via RT2 Profiler PCR Array and immunochemistry assays. Journal of Veterinary Science. 18(3). 359–359. 9 indexed citations
13.
Yu, Fang & Zou Xiang. (2016). Roles and relevance of mast cells in infection and vaccination. Journal of Biomedical Research. 30(4). 253–253. 15 indexed citations
14.
Weng, Yuanchi, et al.. (2015). Cytoplasmic p21 is responsible for paclitaxel resistance in ovarian cancer A2780 cells.. PubMed. 36(6). 662–6. 9 indexed citations
15.
Zhang, Hongbo, et al.. (2013). Community-Based Peer Intervention to Reduce HIV Risk Among Men Who Have Sex With Men in Sichuan Province, China. AIDS Education and Prevention. 25(1). 38–48. 35 indexed citations
16.
Mikuls, Ted R., Geoffrey M. Thiele, Kevin D. Deane, et al.. (2012). Porphyromonas gingivalis and disease‐related autoantibodies in individuals at increased risk of rheumatoid arthritis. Arthritis & Rheumatism. 64(11). 3522–3530. 176 indexed citations
17.
Zhang, Hongbo, et al.. (2011). HIV and Syphilis Prevalence and Associated Factors Among Young Men Who Have Sex with Men in 4 Cities in China. AIDS and Behavior. 17(3). 1151–1158. 23 indexed citations
18.
Yu, Fang, et al.. (2010). Mast Cells Contribute to the Mucosal Adjuvant Effect of CTA1–DD after IgG-Complex Formation. The Journal of Immunology. 185(5). 2935–2941. 17 indexed citations
19.
Yu, Fang, Judit Megyesi, Robert Safirstein, & Peter M. Price. (2005). Identification of the functional domain of p21WAF1/CIP1that protects cells from cisplatin cytotoxicity. American Journal of Physiology-Renal Physiology. 289(3). F514–F520. 60 indexed citations
20.
Yu, Fang, et al.. (2001). Kinetics of tumorigenic vascular endothelial growth factor signalling and its significance in human hepatocellular carcinoma cells. Biomedicine & Pharmacotherapy. 55(2). 102–110. 2 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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