Wei Gu

931 citations
65 papers · 743 · h-index 15

Impact in

Papers in

    • Phytochemistry and Biological Activities 22
    • Natural Compound Pharmacology Studies 17
    • Natural product bioactivities and synthesis 17
    • Bioactive natural compounds 9
    • Biological Activity of Diterpenoids and Biflavonoids 6

Wei Gu

65 papers receiving 737 citations

Peers

Wei Gu
Comparison fields: 5 of 70
  • Pharmacology 200
  • Toxicology 37
  • Plant Science 372
  • Pharmacology 55
  • Molecular Biology 391
Replace Lie‐Jun Huang with:
Lie‐Jun Huang China
Neng‐Hua Chen China
Hua‐Yong Lou China
Céline Djama Mbazoa Cameroon
Haiping Yu China
Bandi Siva India
Jing‐Quan Yuan China
Xuan‐Qin Chen China
Jan H. Wisse United States
Антоанета Трендафилова Bulgaria
Wei Gu relative to Lie‐Jun Huang China Lie‐Jun Huang's profile →
Citations per field
00.5×1.5×
Lie‐Jun Huang · 1×
Citations per year

Countries citing papers authored by Wei Gu

Since Specialization
Citations

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

Fields of papers citing papers by Wei Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201659
2 202053
3 201551
4 202247
5 201535
6 201535
7 202035
8 201821
9 201619
10 201918
11 202218
12 201518
13 202316
14 202015
15 202114
16 202314
17 202114
18 202014
19 201614
20 201713

About Wei Gu

Wei Gu is a scholar working on Plant Science, Molecular Biology, Pharmacology, Organic Chemistry and Pharmacology, having authored 65 papers that have together received 743 indexed citations. Recurring topics across this work include Phytochemistry and Biological Activities (22 papers), Natural product bioactivities and synthesis (17 papers), Natural Compound Pharmacology Studies (17 papers), Synthesis of Organic Compounds (13 papers), Bioactive natural compounds (9 papers), Biological Activity of Diterpenoids and Biflavonoids (6 papers), Bioactive Compounds and Antitumor Agents (6 papers) and Carbohydrate Chemistry and Synthesis (5 papers). The work is most often cited by research in Pharmacology (200 citations), Toxicology (37 citations), Plant Science (372 citations), Pharmacology (55 citations) and Molecular Biology (391 citations). Wei Gu has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Xiao‐Jiang Hao, Chun‐Mao Yuan, Lie‐Jun Huang, Ping Yi, Zhan‐Xing Hu, Hua‐Yong Lou, Yanmei Li, Jianxin Zhang, Tao Huang and Yanan Li. Their work appears in journals such as Fitoterapia, Organic Letters, Journal of Asian Natural Products Research, Chemistry & Biodiversity and Phytochemistry.

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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