Can Tu

573 total citations
23 papers, 488 citations indexed

About

Can Tu is a scholar working on Pharmacology, Plant Science and Molecular Biology. According to data from OpenAlex, Can Tu has authored 23 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pharmacology, 11 papers in Plant Science and 9 papers in Molecular Biology. Recurrent topics in Can Tu's work include Drug-Induced Hepatotoxicity and Protection (12 papers), Pharmacological Effects of Natural Compounds (11 papers) and Phytochemistry and biological activity of medicinal plants (11 papers). Can Tu is often cited by papers focused on Drug-Induced Hepatotoxicity and Protection (12 papers), Pharmacological Effects of Natural Compounds (11 papers) and Phytochemistry and biological activity of medicinal plants (11 papers). Can Tu collaborates with scholars based in China, United States and Japan. Can Tu's co-authors include Xiaohe Xiao, Ming Niu, Jiabo Wang, Chunyu Li, Cong-En Zhang, Zhaofang Bai, Ruisheng Li, Jiabo Wang, Zhijie Ma and Jinfa Tang and has published in prestigious journals such as RSC Advances, Frontiers in Pharmacology and Oxidative Medicine and Cellular Longevity.

In The Last Decade

Can Tu

23 papers receiving 482 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Can Tu China 13 282 204 150 79 52 23 488
Jiang Ma China 10 239 0.8× 181 0.9× 100 0.7× 58 0.7× 28 0.5× 10 395
Ruiyu Li China 9 186 0.7× 151 0.7× 106 0.7× 56 0.7× 28 0.5× 28 342
Tzu-Chien Kao Taiwan 6 386 1.4× 133 0.7× 367 2.4× 68 0.9× 41 0.8× 8 661
Herong Cui China 12 140 0.5× 99 0.5× 179 1.2× 77 1.0× 61 1.2× 35 459
Shaowa Lü China 10 149 0.5× 179 0.9× 314 2.1× 138 1.7× 29 0.6× 19 624
Hemdan I. Mahmoud Egypt 5 182 0.6× 94 0.5× 115 0.8× 45 0.6× 38 0.7× 10 410
S. Gopumadhavan India 16 277 1.0× 206 1.0× 157 1.0× 165 2.1× 55 1.1× 35 767
Chiu‐Li Kao Taiwan 7 130 0.5× 87 0.4× 240 1.6× 51 0.6× 23 0.4× 14 560
Kojo Agyemang China 9 209 0.7× 86 0.4× 227 1.5× 124 1.6× 32 0.6× 11 446

Countries citing papers authored by Can Tu

Since Specialization
Citations

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

Fields of papers citing papers by Can Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Can Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Can Tu. A scholar is included among the top collaborators of Can Tu 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 Can Tu. Can Tu 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.
Tu, Can, et al.. (2023). [Difference in liver injury induced by dictamnine between males and females: based on untargeted metabolomics].. PubMed. 48(12). 3317–3326. 2 indexed citations
2.
Shi, Yuanyuan, et al.. (2023). Psoraleae Fructus Ethanol Extract Induced Hepatotoxicity via Impaired Lipid Metabolism Caused by Disruption of Fatty Acid β-Oxidation. Oxidative Medicine and Cellular Longevity. 2023. 1–17. 8 indexed citations
3.
Gao, Yuan, Wei Shi, Can Tu, et al.. (2022). Immunostimulatory activity and structure-activity relationship of epimedin B from Epimedium brevicornu Maxim.. Frontiers in Pharmacology. 13. 1015846–1015846. 13 indexed citations
4.
Tu, Can, et al.. (2021). Multi-Omics Integration to Reveal the Mechanism of Hepatotoxicity Induced by Dictamnine. Frontiers in Cell and Developmental Biology. 9. 8 indexed citations
5.
Tu, Can, Ming Niu, Jinfa Tang, et al.. (2021). Susceptibility-Related Cytokine Panel for Prediction of Polygonum multiflorum-Induced Hepatotoxicity in Humans. Journal of Inflammation Research. Volume 14. 645–655. 10 indexed citations
6.
Shi, Zhuo, Yuming Guo, Ming Niu, et al.. (2021). Epigallocatechin Gallate During Dietary Restriction — Potential Mechanisms of Enhanced Liver Injury. Frontiers in Pharmacology. 11. 609378–609378. 17 indexed citations
7.
Tu, Can, Yuan Gao, Ming Niu, et al.. (2021). Screening for Susceptibility-Related Biomarkers of Diclofenac-Induced Liver Injury in Rats Using Metabolomics. Frontiers in Pharmacology. 12. 693928–693928. 9 indexed citations
8.
Li, Pin, Chunguo Wang, Can Tu, et al.. (2021). Five Constituents Contributed to the Psoraleae Fructus-Induced Hepatotoxicity via Mitochondrial Dysfunction and Apoptosis. Frontiers in Pharmacology. 12. 682823–682823. 28 indexed citations
9.
Zhang, Le, Ming Niu, Jinfa Tang, et al.. (2019). Risk profiling using metabolomic characteristics for susceptible individuals of drug-induced liver injury caused by Polygonum multiflorum. Archives of Toxicology. 94(1). 245–256. 38 indexed citations
10.
Tu, Can, Qin He, Chunyu Li, et al.. (2019). Susceptibility-Related Factor and Biomarkers of Dietary Supplement Polygonum multiflorum-Induced Liver Injury in Rats. Frontiers in Pharmacology. 10. 335–335. 31 indexed citations
11.
Li, Chunyu, Can Tu, Yi Che, et al.. (2019). Bioassay based screening for the antiplatelet aggregation quality markers of Polygonum multiflorum with UPLC and chemometrics. Journal of Pharmaceutical and Biomedical Analysis. 166. 264–272. 24 indexed citations
12.
Tu, Can, Ming Niu, Chunyu Li, et al.. (2019). Network pharmacology oriented study reveals inflammatory state-dependent dietary supplement hepatotoxicity responses in normal and diseased rats. Food & Function. 10(6). 3477–3490. 12 indexed citations
13.
Liu, Xiaoyi, Yuanyuan Zhou, Yaming Zhang, et al.. (2018). Metabolomic study on the susceptible factors of idiosyncratic Traditional Chinese Medicine-induced liver injury: Exemplification of a <italic>Polygonum multiflorum</italic> preparation. Chinese Science Bulletin (Chinese Version). 64(9). 948–962. 2 indexed citations
14.
Li, Chunyu, Ming Niu, Zhaofang Bai, et al.. (2017). Screening for main components associated with the idiosyncratic hepatotoxicity of a tonic herb, Polygonum multiflorum. Frontiers of Medicine. 11(2). 253–265. 70 indexed citations
15.
He, Qin, Can Tu, Jiabo Wang, et al.. (2017). [Antiplatelet aggregation bioactivity of Polygoni Multiflori Radix with chemical fingerprints and spectrum-effect correlation analysis].. PubMed. 42(9). 1679–1684. 3 indexed citations
16.
17.
Gao, Dan, Cong-En Zhang, Chunyu Li, et al.. (2016). Poria Attenuates Idiosyncratic Liver Injury Induced by Polygoni Multiflori Radix Praeparata. Frontiers in Pharmacology. 7. 386–386. 22 indexed citations
18.
Li, Xiaofei, Can Tu, Chunyu Li, et al.. (2015). Comparison of crude and prepared Polygonum multiflorum-induced idiosyncratic hepatotoxicity based on lipopolysaccharide model. Zhongcaoyao. 46(10). 1481–1486. 2 indexed citations
19.
Qin, Dong, Na Li, Cong-En Zhang, et al.. (2015). Screening for biomarkers of liver injury induced by Polygonum multiflorum: a targeted metabolomic study. Frontiers in Pharmacology. 6. 217–217. 46 indexed citations
20.
Li, Chunyu, Xiaofei Li, Can Tu, et al.. (2015). [The idiosyncratic hepatotoxicity of Polygonum multiflorum based on endotoxin model].. PubMed. 50(1). 28–33. 35 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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