Xi Chu

2.7k citations
99 papers · 2.1k · h-index 27

Impact in

    • Pharmacological Effects of Natural Compounds
    • Drug-Induced Hepatotoxicity and Protection
  • Physiology top 5%
    • Adenosine and Purinergic Signaling

Papers in

Xi Chu

96 papers receiving 2.0k citations

Peers

Xi Chu
Comparison fields: 5 of 123
  • Pharmacology 233
  • Physiology 105
  • Complementary and alternative medicine 174
  • Biochemistry 75
  • Cardiology and Cardiovascular Medicine 233
Replace Mohammed M.H. Al-Gayyar with:
Mohammed M.H. Al-Gayyar Egypt
Nehal M. Elsherbiny Egypt
Xufeng Tao China
Ebtehal El‐Demerdash Egypt
Xue Han China
Jianping Zhang China
Peili Zhu Hong Kong
Anil Bhanudas Gaikwad India
Veera Ganesh Yerra India
Xi Chu relative to Mohammed M.H. Al-Gayyar Egypt Mohammed M.H. Al-Gayyar's profile →
Citations per field
00.5×3.6×
Mohammed M.H. Al-Gayyar · 1×
Citations per year

Countries citing papers authored by Xi Chu

Since Specialization
Citations

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

Fields of papers citing papers by Xi Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xi Chu, 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 Xi Chu Line = papers co-authored together Xi Chu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201699
2 201985
3 201774
4 202071
5 200966
6 201562
7 201859
8 202059
9 201758
10 202157
11 201953
12 201753
13 201948
14 201748
15 201046
16 201646
17 202045
18 201539
19 201738
20 201434

About Xi Chu

Xi Chu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Pharmacology, Oncology and Immunology, having authored 99 papers that have together received 2.1k indexed citations. Recurring topics across this work include Saffron Plant Research Studies (11 papers), Cardiac electrophysiology and arrhythmias (9 papers), Pharmacological Effects of Natural Compounds (8 papers), Retinoids in leukemia and cellular processes (6 papers), Ion channel regulation and function (6 papers), Immune cells in cancer (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Adenosine and Purinergic Signaling (5 papers). The work is most often cited by research in Pharmacology (233 citations), Physiology (105 citations), Complementary and alternative medicine (174 citations), Biochemistry (75 citations) and Cardiology and Cardiovascular Medicine (233 citations). Xi Chu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Li Chu, Jianping Zhang, Xuan Zhang, Bin Zheng, Xue Han, Xue Han, Yingran Liang, Yucong Xue, Jing Shi and Yuanyuan Zhang. Their work appears in journals such as International Immunopharmacology, Drug Design Development and Therapy, Phytotherapy Research, Biomedicine & Pharmacotherapy and Journal of Ethnopharmacology.

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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