Can Tu

592 citations
24 papers · 503 · h-index 14

Impact in

Papers in

    • Pharmacological Effects of Natural Compounds 11
    • Drug-Induced Hepatotoxicity and Protection 11
    • Pharmacogenetics and Drug Metabolism 3
    • Phytochemistry and biological activity of medicinal plants 11

Can Tu

23 papers receiving 498 citations

Peers

Can Tu
Comparison fields: 5 of 68
  • Pharmacology 246
  • Complementary and alternative medicine 64
  • Plant Science 198
  • Pathology and Forensic Medicine 48
  • Analytical Chemistry 29
Replace Ruiyu Li with:
Ruiyu Li China
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Hemdan I. Mahmoud Egypt
J.H.K. Yeung Hong Kong
Herong Cui China
Yanyan Cui United States
Geonil Ko South Korea
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Can Tu relative to Ruiyu Li China Ruiyu Li's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Can Tu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Can Tu Line = papers co-authored together Can Tu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201770
2 201652
3 201547
4 201939
5 201938
6
[The idiosyncratic hepatotoxicity of Polygonum multiflorum based on endotoxin model].
201535
7 202132
8 201932
9 201924
10 201623
11 202117
12 201716
13 202214
14 201913
15 202111
16 202110
17 20239
18 20219
19 20243
20 20173

About Can Tu

Can Tu is a scholar working on Pharmacology, Plant Science, Molecular Biology, Epidemiology and Pathology and Forensic Medicine, having authored 24 papers that have together received 503 indexed citations. Recurring topics across this work include Pharmacological Effects of Natural Compounds (11 papers), Drug-Induced Hepatotoxicity and Protection (11 papers), Phytochemistry and biological activity of medicinal plants (11 papers), Liver Disease Diagnosis and Treatment (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Chemotherapy-induced organ toxicity mitigation (2 papers) and Bioactive natural compounds (2 papers). The work is most often cited by research in Pharmacology (246 citations), Complementary and alternative medicine (64 citations), Plant Science (198 citations), Pathology and Forensic Medicine (48 citations) and Analytical Chemistry (29 citations). Can Tu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xiaohe Xiao, Ming Niu, Jiabo Wang, Chunyu Li, Zhaofang Bai, Cong-En Zhang, Ruisheng Li, Jiabo Wang, Zhijie Ma and Jinfa Tang. Their work appears in journals such as Frontiers in Pharmacology, Frontiers of Medicine, Journal of Pharmaceutical and Biomedical Analysis, Xenobiotica and Frontiers in Cell and Developmental Biology.

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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