Wei Fu

1.2k total citations
38 papers, 847 citations indexed

About

Wei Fu is a scholar working on Molecular Biology, Cancer Research and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Wei Fu has authored 38 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Wei Fu's work include Reproductive Biology and Fertility (5 papers), Receptor Mechanisms and Signaling (4 papers) and MicroRNA in disease regulation (3 papers). Wei Fu is often cited by papers focused on Reproductive Biology and Fertility (5 papers), Receptor Mechanisms and Signaling (4 papers) and MicroRNA in disease regulation (3 papers). Wei Fu collaborates with scholars based in China, United States and United Kingdom. Wei Fu's co-authors include Sebastian Y. Bednarek, Jianwei Pan, Qian Chen, Xu Yan, Chuanyou Li, Chao Wang, Bojun Ma, Jianzhong Liu, Min Yu and Wenjie Cai and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Plant Cell and The Journal of Physical Chemistry B.

In The Last Decade

Wei Fu

35 papers receiving 838 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei Fu China 14 408 135 134 124 104 38 847
Ying Xiong China 17 678 1.7× 142 1.1× 147 1.1× 31 0.3× 82 0.8× 40 1.0k
Kazutoshi Tamura Japan 16 337 0.8× 79 0.6× 55 0.4× 34 0.3× 51 0.5× 60 818
Valentina Bosello Travain Italy 19 1.2k 2.9× 462 3.4× 140 1.0× 51 0.4× 151 1.5× 33 2.0k
Michael J. Hitchler United States 15 609 1.5× 155 1.1× 53 0.4× 75 0.6× 42 0.4× 19 891
Margareta Berggren United States 12 1.1k 2.7× 105 0.8× 202 1.5× 73 0.6× 129 1.2× 17 1.6k
Naresh Babu V. Sepuri India 21 1.5k 3.7× 234 1.7× 92 0.7× 54 0.4× 120 1.2× 38 1.9k
Edward Felix United States 17 600 1.5× 153 1.1× 219 1.6× 30 0.2× 61 0.6× 29 1.0k
Justin R. Prigge United States 21 1.1k 2.7× 92 0.7× 413 3.1× 66 0.5× 171 1.6× 28 1.6k
Dong‐Chan Park South Korea 11 357 0.9× 168 1.2× 38 0.3× 62 0.5× 43 0.4× 20 781
Manjula Bhanoori India 20 442 1.1× 92 0.7× 70 0.5× 63 0.5× 221 2.1× 48 1.2k

Countries citing papers authored by Wei Fu

Since Specialization
Citations

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

Fields of papers citing papers by Wei Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Fu. A scholar is included among the top collaborators of Wei Fu 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 Wei Fu. Wei Fu 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.
Li, F.B., et al.. (2025). Co(II) porphyrin-integrated Zr-MOF containing imidazolium-based ionic liquid for boosting cocatalyst-free CO2 cycloaddition. Journal of environmental chemical engineering. 13(3). 117062–117062. 4 indexed citations
2.
Yu, Shicheng, Jun Li, Mengxian Zhang, et al.. (2025). Identification of a 10-species microbial signature of inflammatory bowel disease by machine learning and external validation. Cell Regeneration. 14(1). 32–32.
3.
4.
Xiao, Bin, Juan Zhang, Nan Wang, et al.. (2024). Rapid DNA extraction and microfluidic LAMP system in portable equipment for GM crops detection. Sensors and Actuators B Chemical. 411. 135716–135716. 6 indexed citations
5.
Bian, Shuhui, Yicheng Wang, Yuan Zhou, et al.. (2023). Integrative single-cell multiomics analyses dissect molecular signatures of intratumoral heterogeneities and differentiation states of human gastric cancer. National Science Review. 10(6). nwad094–nwad094. 34 indexed citations
6.
Xu, Yanyan, Wei Fu, Yu‐Rong Liu, et al.. (2022). Identification of Antithrombotic Natural Products Targeting the Major Substrate Binding Pocket of Protein Disulfide Isomerase. Journal of Natural Products. 85(5). 1332–1339. 5 indexed citations
7.
Fu, Wei. (2022). THE IMPACT OF WATER RELATED ECO-PLANNING ON ECOLOGICAL EFFECTIVENESS IN MEGACITY BEIJING, CHINA. SHILAP Revista de lepidopterología. XLVIII-3/W2-2022. 29–34.
8.
Fu, Wei, et al.. (2021). Discovery of a novel Aurora B inhibitor GSK650394 with potent anticancer and anti- aspergillus fumigatus dual efficacies in vitro. Journal of Enzyme Inhibition and Medicinal Chemistry. 37(1). 109–117. 9 indexed citations
9.
Huang, Zhuhui, Kui Zhang, Li Yang, et al.. (2020). Reconstruction of a lncRNA-Associated ceRNA Network in Endothelial Cells under Circumferential Stress. Cardiology Research and Practice. 2020. 1–13. 8 indexed citations
10.
Awadasseid, Annoor, Suresh Narva, Song Cao, et al.. (2020). Anti-cancer activity of benzoxazinone derivatives via targeting c-Myc G-quadruplex structure. Life Sciences. 258. 118252–118252. 20 indexed citations
11.
Fu, Wei, Xiaoping Gao, Sheng Zhang, et al.. (2020). 17β-Estradiol Inhibits PCSK9-Mediated LDLR Degradation Through GPER/PLC Activation in HepG2 Cells. Frontiers in Endocrinology. 10. 930–930. 37 indexed citations
12.
Peng, Xiandong, et al.. (2020). Effects of euploid blastocyst morphological development on reproductive outcomes. Reproductive Biology. 20(4). 496–500. 6 indexed citations
13.
14.
Chen, Wei, Liu C, Xinbo Zhou, et al.. (2017). Novel Peripherally Restricted Cannabinoid 1 Receptor Selective Antagonist TXX-522 with Prominent Weight-Loss Efficacy in Diet Induced Obese Mice. Frontiers in Pharmacology. 8. 707–707. 26 indexed citations
15.
Zhou, Xuelin, Hing Lok Wong, Chun‐Fai Ng, et al.. (2016). In vivo and in vitro anti-inflammatory effects of Zao-Jiao-Ci (the spine of Gleditsia sinensis Lam.) aqueous extract and its mechanisms of action. Journal of Ethnopharmacology. 192. 192–200. 26 indexed citations
16.
Feng, Ruizhi, Qing Sang, Yan Zhu, et al.. (2015). MiRNA-320 in the human follicular fluid is associated with embryo quality in vivo and affects mouse embryonic development in vitro. Scientific Reports. 5(1). 8689–8689. 79 indexed citations
17.
18.
Lainé, Dramane I., Zehong Wan, Hongxing Yan, et al.. (2009). Design, Synthesis, and Structure−Activity Relationship of Tropane Muscarinic Acetylcholine Receptor Antagonists. Journal of Medicinal Chemistry. 52(16). 5241–5252. 9 indexed citations
19.
Jin, Jian, Yonghui Wang, Feng Wang, et al.. (2008). Muscarinic acetylcholine receptor antagonists: SAR and optimization of tyrosine ureas. Bioorganic & Medicinal Chemistry Letters. 18(20). 5481–5486. 2 indexed citations
20.
Huang, Xiaoqin, Hong Liu, Meng Cui, et al.. (2004). Simulating the Interactions of Toxins with K+ Channels. Current Pharmaceutical Design. 10(9). 1057–1067. 6 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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