Wei Fu

2.8k total citations
100 papers, 2.3k citations indexed

About

Wei Fu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, Wei Fu has authored 100 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 30 papers in Cellular and Molecular Neuroscience and 11 papers in Immunology. Recurrent topics in Wei Fu's work include Receptor Mechanisms and Signaling (28 papers), Neuropeptides and Animal Physiology (23 papers) and Pharmacological Receptor Mechanisms and Effects (21 papers). Wei Fu is often cited by papers focused on Receptor Mechanisms and Signaling (28 papers), Neuropeptides and Animal Physiology (23 papers) and Pharmacological Receptor Mechanisms and Effects (21 papers). Wei Fu collaborates with scholars based in China, United States and Australia. Wei Fu's co-authors include Jinlan Ruan, Weiyue Lu, Changyou Zhan, Xiaoli Wei, Qing Shen, Yongfang Lei, Wei Lü, Zeyu Xiao, Binbin Zheng and Sihang Zhang and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Wei Fu

92 papers receiving 2.2k 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 26 1.0k 570 371 317 250 100 2.3k
Ailing Fu China 29 1.3k 1.2× 372 0.7× 449 1.2× 269 0.8× 187 0.7× 66 2.6k
Joana A. Loureiro Portugal 28 1.1k 1.0× 483 0.8× 255 0.7× 771 2.4× 138 0.6× 84 2.8k
Fufeng Liu China 32 1.5k 1.5× 359 0.6× 349 0.9× 299 0.9× 144 0.6× 128 2.9k
Fen Yang China 29 1.1k 1.1× 289 0.5× 215 0.6× 259 0.8× 140 0.6× 84 2.8k
Teng‐Kuang Yeh Taiwan 29 913 0.9× 248 0.4× 388 1.0× 330 1.0× 392 1.6× 98 2.6k
Xiaoting Yang China 27 1.4k 1.4× 165 0.3× 244 0.7× 368 1.2× 288 1.2× 89 2.7k
Yue Ding China 28 964 0.9× 310 0.5× 194 0.5× 222 0.7× 252 1.0× 129 2.4k
Shuai Lü China 31 1.2k 1.2× 171 0.3× 426 1.1× 219 0.7× 414 1.7× 144 2.9k
Thomas P. Davis Australia 34 1.5k 1.4× 388 0.7× 805 2.2× 891 2.8× 177 0.7× 68 3.1k
Siavoush Dastmalchi Iran 31 1.3k 1.3× 302 0.5× 321 0.9× 188 0.6× 610 2.4× 178 3.2k

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.
Fu, Wei, et al.. (2025). A bifunctional fusion membrane-based biocompatible nanovaccine to potentiate cancer immunotherapy. Theranostics. 15(12). 5719–5737. 1 indexed citations
2.
Fu, Huihui, Jiaxin Jin, Sheng Xiao, et al.. (2025). The analysis of distinctive lipid metabolism characteristics in dry-cured beef during processing. Food Chemistry X. 28. 102540–102540. 1 indexed citations
3.
Fan, Shijie, Xueyuan Li, Daohai Du, et al.. (2024). Structure-Based Design and Discovery of a Potent and Cell-Active LC3A/B Covalent Inhibitor. Journal of Medicinal Chemistry. 67(14). 12184–12204. 3 indexed citations
5.
Ning, Kuan, Xiao Liu, Zixiang Li, et al.. (2023). Reversal of subtype-selectivity and function by the introduction of a para-benzamidyl substituent to N-cyclopropylmethyl nornepenthone. European Journal of Medicinal Chemistry. 258. 115589–115589. 1 indexed citations
6.
Wang, Yan, et al.. (2023). Combined Methylation of SHOX2 and RASSF1A Genes in Diagnosing Malignant Pleural Effusion. Discovery Medicine. 35(178). 845–845. 5 indexed citations
7.
Nie, Shidong, et al.. (2023). Constitutive model of austenitic high-strength A4L-80 bolts at elevated temperatures. Journal of Constructional Steel Research. 213. 108419–108419. 1 indexed citations
8.
Wu, Xuesong, Hongbo Wang, Xinwei Li, et al.. (2022). A facile turn‐on chemiluminescence probe for sensitive imaging on aminopeptidase N activity. Luminescence. 37(8). 1335–1342. 6 indexed citations
9.
Zhang, Junjie, Xinwei Li, Wenbo Zhang, et al.. (2022). Computational Methods for Understanding the Selectivity and Signal Transduction Mechanism of Aminomethyl Tetrahydronaphthalene to Opioid Receptors. Molecules. 27(7). 2173–2173. 1 indexed citations
10.
Zhang, Junjie, Shaowen Wang, Huan Gao, et al.. (2022). Tyrosine 7.43 is important for mu-opioid receptor downstream signaling pathways activated by fentanyl. Frontiers in Pharmacology. 13. 919325–919325. 4 indexed citations
11.
Wang, Hongbo, Taotao Huo, Xinwei Li, et al.. (2021). A Novel Chemiluminescence Probe for Sensitive Detection of Fibroblast Activation Protein-Alpha In Vitro and in Living Systems. Analytical Chemistry. 93(16). 6501–6507. 27 indexed citations
12.
Fu, Wei, Yuan Ma, Lie Li, et al.. (2020). Artemether Regulates Metaflammation to Improve Glycolipid Metabolism in db/db Mice. SHILAP Revista de lepidopterología.
14.
Wang, Wenli, Xuejun Xu, Chen Zhu, et al.. (2020). Discovery of 3-((dimethylamino)methyl)-4-hydroxy-4-(3-methoxyphenyl)-N-phenylpiperidine-1-carboxamide as novel potent analgesic. European Journal of Medicinal Chemistry. 189. 112070–112070. 9 indexed citations
15.
Gu, Jianfeng, Wei Fu, Yang Zong, et al.. (2018). Inhibition of microRNA-383 promotes apoptosis of human colon cancer cells by upregulation of caspase-2 gene expression. Tropical Journal of Pharmaceutical Research. 17(1). 11–11. 1 indexed citations
16.
Shen, Qing, Yuanyuan Qian, Xuejun Xu, et al.. (2015). Design, synthesis and biological evaluation of N-phenylalkyl-substituted tramadol derivatives as novel μ opioid receptor ligands. Acta Pharmacologica Sinica. 36(7). 887–894. 11 indexed citations
17.
Chen, Jinglou, Xiliu Chen, Yongfang Lei, et al.. (2011). Vascular protective potential of the total flavanol glycosides from Abacopteris penangiana via modulating nuclear transcription factor-κB signaling pathway and oxidative stress. Journal of Ethnopharmacology. 136(1). 217–223. 19 indexed citations
18.
Fu, Wei, et al.. (2011). Regulation of NK92‐MI Cell Cytotoxicity by Substance P. Scandinavian Journal of Immunology. 74(2). 107–113. 15 indexed citations
19.
Fu, Wei, et al.. (2010). Studies on Flavonoids from Parathelypteris nipponica (Franch.et Sav.)Ching. Zhōnghuá yàoxué zázhì. 45(3). 166–168. 1 indexed citations
20.
Yu, Kunqian, Wei Fu, Hong Liu, et al.. (2004). Computational Simulations of Interactions of Scorpion Toxins with the Voltage-Gated Potassium Ion Channel. Biophysical Journal. 86(6). 3542–3555. 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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