Fang Ye

16.5k total citations · 2 hit papers
388 papers, 8.7k citations indexed

About

Fang Ye is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Fang Ye has authored 388 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 211 papers in Molecular Biology, 40 papers in Radiology, Nuclear Medicine and Imaging and 40 papers in Biomedical Engineering. Recurrent topics in Fang Ye's work include Receptor Mechanisms and Signaling (62 papers), Monoclonal and Polyclonal Antibodies Research (38 papers) and Advanced Biosensing Techniques and Applications (30 papers). Fang Ye is often cited by papers focused on Receptor Mechanisms and Signaling (62 papers), Monoclonal and Polyclonal Antibodies Research (38 papers) and Advanced Biosensing Techniques and Applications (30 papers). Fang Ye collaborates with scholars based in China, United States and Germany. Fang Ye's co-authors include Richard M. Eglen, Ann M. Ferrie, Huayun Deng, Jan H. Hoh, Jie Yang, Joydeep Lahiri, Anthony G. Frutos, N. H. Fontaine, Guangshan Li and Haiyan Sun and has published in prestigious journals such as Science, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

Fang Ye

368 papers receiving 8.5k citations

Hit Papers

Three-Dimensional Cell Cultures in Drug Discovery and Dev... 2017 2026 2020 2023 2017 2022 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fang Ye China 48 4.5k 1.7k 763 744 740 388 8.7k
Xiaohui Wang China 54 4.0k 0.9× 1.6k 0.9× 427 0.6× 735 1.0× 1.3k 1.8× 382 12.1k
Lei Zhang China 58 4.0k 0.9× 2.4k 1.4× 528 0.7× 519 0.7× 408 0.6× 674 14.7k
David Sept United States 41 6.7k 1.5× 1.4k 0.8× 326 0.4× 636 0.9× 551 0.7× 110 11.2k
James Evans United States 52 3.6k 0.8× 965 0.6× 407 0.5× 439 0.6× 1.3k 1.7× 301 11.3k
Joseph A. Loo United States 82 11.8k 2.6× 2.7k 1.6× 735 1.0× 839 1.1× 836 1.1× 346 23.8k
Rosemary Braun United States 20 10.1k 2.2× 1.7k 1.0× 500 0.7× 1.2k 1.5× 470 0.6× 46 15.8k
Hiroshi Nakayama Japan 55 4.9k 1.1× 616 0.4× 352 0.5× 451 0.6× 765 1.0× 574 11.4k
Erik Goormaghtigh Belgium 56 6.7k 1.5× 789 0.5× 482 0.6× 621 0.8× 407 0.6× 256 11.6k
Akira Itô Japan 69 5.8k 1.3× 4.1k 2.4× 701 0.9× 989 1.3× 1.5k 2.0× 565 17.7k
Roman A. Zubarev Sweden 64 8.6k 1.9× 707 0.4× 743 1.0× 477 0.6× 1.1k 1.5× 361 17.1k

Countries citing papers authored by Fang Ye

Since Specialization
Citations

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

Fields of papers citing papers by Fang Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Ye. A scholar is included among the top collaborators of Fang Ye 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 Ye. Fang Ye 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.
Chen, Cong, Qiushuang Chen, Chenglong Xu, et al.. (2025). Influence of growth rate on epitaxy of high-Al-content AlGaN via metal−organic chemical vapor deposition. Journal of Alloys and Compounds. 1013. 178597–178597.
2.
Liu, Yiming, Xiaoyi Yan, Jun Xu, et al.. (2025). Structural insights into prolactin-releasing peptide receptor signaling and G-protein coupling selectivity. Cell Reports. 44(3). 115337–115337.
3.
Sun, Qi, et al.. (2025). Widely targeted plasma lipidomic analysis of Term Low Birth Weight Infants: unraveling signatures and implications for early growth patterns. Journal of Pharmaceutical and Biomedical Analysis. 258. 116732–116732.
4.
Chen, Xia, et al.. (2024). Drug delivery systems in periodontitis: A visualization and bibliometric analysis. The Saudi Dental Journal. 36(11). 1377–1388. 1 indexed citations
5.
Yang, Quan, et al.. (2024). Sapphire optical fiber with (BN/SiBCN)n coating prepared by chemical vapor deposition for high-temperature sensing applications. Ceramics International. 50(22). 46557–46565. 4 indexed citations
6.
Tang, Shuai, et al.. (2024). Protective role of TRPM7 knockdown in ulcerative colitis via blocking NLRP3 inflammasome-mediated pyroptosis. Prostaglandins & Other Lipid Mediators. 175. 106904–106904. 2 indexed citations
8.
Jiang, Zhenqi, Lifei Yang, Fang Ye, et al.. (2022). HPDA/Zn as aCREBInhibitor for Ultrasound Imaging and Stabilization of Atherosclerosis Plaque. Chinese Journal of Chemistry. 41(2). 199–206. 110 indexed citations breakdown →
9.
Liu, Die, et al.. (2022). Risk factors and postnatal biomarkers for acute placental inflammatory lesions and intrauterine infections in preterm infants. European Journal of Pediatrics. 181(9). 3429–3438. 1 indexed citations
10.
Zhao, Yan, Qibin Wang, Jun Zhou, et al.. (2021). Bletilla striata Polysaccharide Promotes Diabetic Wound Healing Through Inhibition of the NLRP3 Inflammasome. Frontiers in Pharmacology. 12. 659215–659215. 59 indexed citations
11.
Lu, Chang, et al.. (2018). Effects of three forms of local anesthesia on perioperative fentanyl-induced hyperalgesia. BioScience Trends. 12(2). 177–184. 4 indexed citations
12.
Feng, Wan-Zhe, Gary Shiu, Pablo Soler, & Fang Ye. (2014). Probing Hidden Sectors with Stückelberg U(1) Gauge Fields. Physical Review Letters. 113(6). 61802–61802. 23 indexed citations
13.
Ye, Fang. (2013). Inhibitory effect of jujuboside A on proliferation of human normal liver cells,hepatic stellate cells and human hepatoma cells by MTT assay. 1 indexed citations
14.
Ye, Fang. (2013). An Inventory Model with Non-linear Holding Cost for a Supply Chain of Perishable Goods. Journal of systems management. 2 indexed citations
15.
Ye, Fang. (2013). Comparative Study on the Content of Effective Components of Bupleurum marginatum before and after Processing. Zhongguo shiyan fangjixue zazhi. 1 indexed citations
16.
Shiu, Gary, Pablo Soler, & Fang Ye. (2013). Millicharged Dark Matter in Quantum Gravity and String Theory. Physical Review Letters. 110(24). 241304–241304. 31 indexed citations
17.
Shiu, Gary, et al.. (2012). Soft branes in supersymmetry-breaking backgrounds. Journal of High Energy Physics. 2012(7). 13 indexed citations
18.
Tran, Elizabeth, et al.. (2011). Ligand-Directed Functional Selectivity at the Mu Opioid Receptor Revealed by Label-Free Integrative Pharmacology On-Target. PLoS ONE. 6(10). e25643–e25643. 37 indexed citations
19.
Chi, Zhe, Jiming Wang, Zhen‐Ming Chi, & Fang Ye. (2009). Trehalose accumulation from corn starch by Saccharomycopsis fibuligera A11 during 2-l fermentation and trehalose purification. Journal of Industrial Microbiology & Biotechnology. 37(1). 19–25. 8 indexed citations
20.
Ye, Fang. (1996). Characterization of self-assembled monolayers of thiols on Au(111). Science China Chemistry. 39(3). 225–234. 4 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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