Guining Wei

507 citations
21 papers · 418 · h-index 11

Impact in

Papers in

    • Cancer-related molecular mechanisms research 3
    • Glycosylation and Glycoproteins Research 1
    • Cell death mechanisms and regulation 1

Guining Wei

20 papers receiving 416 citations

Peers

Guining Wei
Comparison fields: 5 of 65
  • Biological Psychiatry 23
  • Pharmacology 40
  • Cancer Research 57
  • Complementary and alternative medicine 26
  • Molecular Biology 212
Replace Yue Xiang with:
Yue Xiang China
Rania M. Salama Egypt
Xiaonan Ma China
Haiyan Hu China
Jiankang Fang Macao
Yi Athena Ren United States
Shu Yun Zhu China
Vijay Kumar Arruri United States
Junpeng Long China
Pyone Myat Thu China
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Citations per field
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Citations per year

Countries citing papers authored by Guining Wei

Since Specialization
Citations

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

Fields of papers citing papers by Guining Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201587
2 201579
3 202346
4 202130
5 201829
6 202328
7 201925
8 202017
9 202113
10 202211
11 202411
12 20238
13 20237
14 20237
15 20156
16
[Study on the volatile oil of Murraya exotica].
20095
17 20244
18 20243
19 20171
20
Antioxidant and antitumour activity of rosemary leaves.
19991

About Guining Wei

Guining Wei is a scholar working on Cancer Research, Molecular Biology, Biological Psychiatry, Molecular Medicine and Biochemistry, having authored 21 papers that have together received 418 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (3 papers), Tryptophan and brain disorders (1 paper), Glycosylation and Glycoproteins Research (1 paper), Plant chemical constituents analysis (1 paper), Curcumin's Biomedical Applications (1 paper), Lung Cancer Research Studies (1 paper), Cell death mechanisms and regulation (1 paper) and Phytochemicals and Antioxidant Activities (1 paper). The work is most often cited by research in Biological Psychiatry (23 citations), Pharmacology (40 citations), Cancer Research (57 citations), Complementary and alternative medicine (26 citations) and Molecular Biology (212 citations). Guining Wei has collaborated with scholars based in China and Australia. Frequent co-authors include Dongmei Li, 陈乃宏, Shifeng Chu, Yan Gao, Cong‐Yuan Xia, Jianping Li, Jie Wei, Zheng Mou, Zhao Zhang and Wenbin He. Their work appears in journals such as Phytomedicine, Chemistry & Biodiversity, Journal of Ethnopharmacology, International Journal of Biological Macromolecules and Cell Reports.

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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