Yuan‐Fu Lu

4.3k total citations
93 papers, 3.2k citations indexed

About

Yuan‐Fu Lu is a scholar working on Molecular Biology, Pharmacology and Oncology. According to data from OpenAlex, Yuan‐Fu Lu has authored 93 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 34 papers in Pharmacology and 26 papers in Oncology. Recurrent topics in Yuan‐Fu Lu's work include Drug Transport and Resistance Mechanisms (21 papers), Natural product bioactivities and synthesis (13 papers) and Heavy Metal Exposure and Toxicity (13 papers). Yuan‐Fu Lu is often cited by papers focused on Drug Transport and Resistance Mechanisms (21 papers), Natural product bioactivities and synthesis (13 papers) and Heavy Metal Exposure and Toxicity (13 papers). Yuan‐Fu Lu collaborates with scholars based in China, United States and Macao. Yuan‐Fu Lu's co-authors include Qin Wu, Jingshan Shi, Jie Liu, Qihai Gong, Curtis D. Klaassen, Feng Jin, Kai Wu, Fuguo Shi, Jie Liu and Jing-Zhen Shi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Hepatology.

In The Last Decade

Yuan‐Fu Lu

91 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuan‐Fu Lu China 35 1.4k 718 401 395 364 93 3.2k
Qin Wu China 38 1.6k 1.2× 728 1.0× 343 0.9× 197 0.5× 680 1.9× 135 4.0k
Li Chu China 33 1.4k 1.0× 475 0.7× 311 0.8× 656 1.7× 218 0.6× 189 3.5k
Xiu Jun Wang China 28 3.1k 2.3× 416 0.6× 244 0.6× 291 0.7× 236 0.6× 80 4.6k
Kazim Husain United States 38 1.1k 0.8× 206 0.3× 307 0.8× 422 1.1× 276 0.8× 128 4.2k
Ashutosh Kumar India 37 1.4k 1.0× 452 0.6× 382 1.0× 507 1.3× 389 1.1× 90 4.2k
Hossein Niknahad Iran 34 568 0.4× 625 0.9× 350 0.9× 348 0.9× 161 0.4× 126 2.9k
Chao Huang China 39 1.8k 1.3× 208 0.3× 176 0.4× 304 0.8× 271 0.7× 178 4.4k
Takemi Yoshida Japan 30 1.8k 1.4× 627 0.9× 128 0.3× 434 1.1× 321 0.9× 156 3.5k
Yuan‐Lin Zheng China 39 1.9k 1.4× 172 0.2× 406 1.0× 176 0.4× 250 0.7× 93 4.4k
Jun Lü China 43 2.5k 1.9× 186 0.3× 465 1.2× 225 0.6× 261 0.7× 136 5.5k

Countries citing papers authored by Yuan‐Fu Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yuan‐Fu Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan‐Fu Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan‐Fu Lu. A scholar is included among the top collaborators of Yuan‐Fu Lu 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 Yuan‐Fu Lu. Yuan‐Fu Lu 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, Xiaolong, et al.. (2023). AMP‐activated protein kinase‐farnesoid X receptor pathway contributes to oleanolic acid‐induced liver injury. Journal of Applied Toxicology. 43(8). 1201–1213. 4 indexed citations
2.
Shi, Jun, Guiyou Liang, Daxing Liu, et al.. (2022). miR-16-5p Is a Novel Mediator of Venous Smooth Muscle Phenotypic Switching. Journal of Cardiovascular Translational Research. 15(4). 876–889. 5 indexed citations
3.
Huang, Linyan, et al.. (2020). Cortex dictamni-induced liver injury in mice: The role of P450-mediated metabolic activation of furanoids. Toxicology Letters. 330. 41–52. 24 indexed citations
4.
Zhang, Ya, Shiyue Li, Qian Zhou, et al.. (2020). Dendrobium nobile Lindl. alkaloids-mediated protection against CCl4-induced liver mitochondrial oxidative damage is dependent on the activation of Nrf2 signaling pathway. Biomedicine & Pharmacotherapy. 129. 110351–110351. 35 indexed citations
5.
Li, Gentao, Lifeng Han, Hui Xiong, et al.. (2019). Glucocorticoids Increase Renal Excretion of Urate in Mice by Downregulating Urate Transporter 1. Drug Metabolism and Disposition. 47(11). 1343–1351. 14 indexed citations
6.
Shi, Fuguo, et al.. (2018). Dictamnine-induced hepatotoxicity in mice: the role of metabolic activation of furan. Toxicology and Applied Pharmacology. 364. 68–76. 29 indexed citations
7.
Guo, Yanling, Xiaxia Wu, Qin Wu, et al.. (2018). Dihydrotanshinone I, a natural product, ameliorates DSS-induced experimental ulcerative colitis in mice. Toxicology and Applied Pharmacology. 344. 35–45. 50 indexed citations
8.
Liu, Jie, Lixin Wei, Qi Wang, et al.. (2017). A review of cinnabar and/or realgar-containing traditional medicines. Journal of Ethnopharmacology. 4 indexed citations
9.
Zhou, Qian, Xiaolong Fu, Xueting Wang, et al.. (2017). Autophagy plays a protective role in Mn-induced toxicity in PC12 cells. Toxicology. 394. 45–53. 37 indexed citations
10.
Liu, Jie, Lixin Wei, Qi Wang, et al.. (2017). A review of cinnabar (HgS) and/or realgar (As 4 S 4 )-containing traditional medicines. Journal of Ethnopharmacology. 210. 340–350. 78 indexed citations
11.
Liu, Jie, et al.. (2016). Hepatoprotective effect of oleanolic acid on D- galactosamine- induced acute liver injury in the mice. Huaxi yaoxue zazhi. 26–29. 1 indexed citations
12.
Zhu, Qiong-Ni, et al.. (2016). Ontogeny, aging, and gender-related changes in hepatic multidrug resistant protein genes in rats. Life Sciences. 170. 108–114. 13 indexed citations
13.
Zhu, Qiong-Ni, Yuan‐Fu Lu, Jing-Zhen Shi, et al.. (2014). Distinct effect of Wansheng Huafeng Dan containing ardisia crenata on renal transporters, mercury accumulation and Kim-1 expression from mercuric chloride. China Journal of Chinese Materia Medica. 39(10). 1892–6. 8 indexed citations
14.
15.
Liu, Jie, Yuan‐Fu Lu, Youcai Zhang, et al.. (2013). Oleanolic acid alters bile acid metabolism and produces cholestatic liver injury in mice. Toxicology and Applied Pharmacology. 272(3). 816–824. 41 indexed citations
16.
Zhu, Qiong-Ni, Dan Zhang, Tao Jin, et al.. (2013). Rutaecarpine effects on expression of hepatic phase-1, phase-2 metabolism and transporter genes as a basis of herb–drug interactions. Journal of Ethnopharmacology. 147(1). 215–219. 21 indexed citations
17.
Xu, Yiqiao, Dan Zhang, Tao Jin, et al.. (2012). Diurnal Variation of Hepatic Antioxidant Gene Expression in Mice. PLoS ONE. 7(8). e44237–e44237. 123 indexed citations
18.
Wu, Qin, et al.. (2011). Chemical form of metals in traditional medicines underlines potential toxicity in cell cultures. Journal of Ethnopharmacology. 134(3). 839–843. 32 indexed citations
19.
Lu, Yuan‐Fu, et al.. (2011). Evaluation of hepatotoxicity potential of cinnabar-containing An-Gong-Niu-Huang Wan, a patent traditional Chinese medicine. Regulatory Toxicology and Pharmacology. 60(2). 206–211. 28 indexed citations
20.
Shi, Jing-Zhen, et al.. (2010). Nephrotoxicity of mercuric chloride, methylmercury and cinnabar-containing Zhu-Sha-An-Shen-Wan in rats. Toxicology Letters. 200(3). 194–200. 43 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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