Wei Guang

1.0k citations
36 papers · 850 · h-index 17

Impact in

  • Pharmacology top 10%
    • Glycosylation and Glycoproteins Research
    • Natural product bioactivities and synthesis
    • Ginseng Biological Effects and Applications
    • Receptor Mechanisms and Signaling

Papers in

    • Glycosylation and Glycoproteins Research 10
    • Receptor Mechanisms and Signaling 6
    • Natural product bioactivities and synthesis 4
    • Galectins and Cancer Biology 7

Wei Guang

36 papers receiving 833 citations

Peers

Wei Guang
Comparison fields: 5 of 90
  • Pharmacology 75
  • Molecular Biology 565
  • Immunology 166
  • Cellular and Molecular Neuroscience 88
  • Cell Biology 68
Replace Susana Fiorentino with:
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D. Westmacott United Kingdom
Ram Chawda United States
Sushil Chandra Regmi South Korea
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Wei Guang relative to Susana Fiorentino Colombia Susana Fiorentino's profile →
Citations per field
00.5×1.5×
Susana Fiorentino · 1×
Citations per year

Countries citing papers authored by Wei Guang

Since Specialization
Citations

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

Fields of papers citing papers by Wei Guang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199985
2 201078
3 201275
4 200471
5 201253
6 199948
7 200040
8 201638
9 199535
10 201531
11 199830
12 200125
13 201025
14 201819
15 199618
16 201417
17 201417
18 201215
19 200814
20 199613

About Wei Guang

Wei Guang is a scholar working on Molecular Biology, Immunology, Surgery, Cellular and Molecular Neuroscience and Oncology, having authored 36 papers that have together received 850 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (10 papers), Galectins and Cancer Biology (7 papers), Helicobacter pylori-related gastroenterology studies (7 papers), Neuropeptides and Animal Physiology (6 papers), Receptor Mechanisms and Signaling (6 papers), Phytochemistry and Biological Activities (5 papers), Natural product bioactivities and synthesis (4 papers) and Caveolin-1 and cellular processes (3 papers). The work is most often cited by research in Pharmacology (75 citations), Molecular Biology (565 citations), Immunology (166 citations), Cellular and Molecular Neuroscience (88 citations) and Cell Biology (68 citations). Wei Guang has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Erik P. Lillehoj, Satoshi Tahara, Yukiharu Fukushi, K. Chul Kim, Jia Bei Wang, Thomas G. Blanchard, Steven J. Czinn, Irina G. Luzina, Sang Won Hyun and Simeon E. Goldblum. Their work appears in journals such as Phytochemistry, Journal of Biological Chemistry, Fitoterapia, Cancers and American Journal of Physiology-Gastrointestinal and Liver Physiology.

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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