Guangwei Du

8.8k citations
94 papers · 4.8k · h-index 36

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 16
    • Lipid Membrane Structure and Behavior 14
    • RNA Interference and Gene Delivery 6
    • Metabolism, Diabetes, and Cancer 6
    • PI3K/AKT/mTOR signaling in cancer 6
    • Cellular transport and secretion 21

Guangwei Du

88 papers receiving 4.8k citations

Peers

Guangwei Du
Comparison fields: 5 of 127
  • Cell Biology 1.4k
  • Aging 114
  • Physiology 227
  • Molecular Biology 3.2k
  • Biochemistry 296
Replace Noriko Oshiro with:
Noriko Oshiro Japan
Yoshinori Satomi Japan
Sandra Lacas‐Gervais France
Elizabeth Sztul United States
Matilda Katan United Kingdom
Tomohiko Maehama Japan
Lars Ellgaard Denmark
Miho Iijima United States
Marc Hild United States
Shun-ichiro Iemura Japan
Guangwei Du relative to Noriko Oshiro Japan Noriko Oshiro's profile →
Citations per field
00.5×1.5×1.8×
Noriko Oshiro · 1×
Citations per year

Countries citing papers authored by Guangwei Du

Since Specialization
Citations

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

Fields of papers citing papers by Guangwei Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017269
2 2007244
3 2006229
4 2006200
5 2008198
6 2001197
7 2004178
8 2007172
9 2003141
10 2001140
11 2003133
12 2008130
13 2011129
14 2007115
15 2006108
16 2000103
17 2010103
18 201393
19 202090
20 201389

About Guangwei Du

Guangwei Du is a scholar working on Molecular Biology, Cell Biology, Physiology, Surgery and Immunology, having authored 94 papers that have together received 4.8k indexed citations. Recurring topics across this work include Cellular transport and secretion (21 papers), Protein Kinase Regulation and GTPase Signaling (16 papers), Lipid Membrane Structure and Behavior (14 papers), Erythrocyte Function and Pathophysiology (10 papers), RNA Interference and Gene Delivery (6 papers), Metabolism, Diabetes, and Cancer (6 papers), Pancreatic function and diabetes (6 papers) and PI3K/AKT/mTOR signaling in cancer (6 papers). The work is most often cited by research in Cell Biology (1.4k citations), Aging (114 citations), Physiology (227 citations), Molecular Biology (3.2k citations) and Biochemistry (296 citations). Guangwei Du has collaborated with scholars based in United States, China and France. Frequent co-authors include Michael A. Frohman, Elizabeth Scotto–Lavino, Sylvette Chasserot‐Golaz, Nicolas Vitale, Ping Huang, Andrew J. Morris, Yueqiang Zhang, Chen Zhao, Dafna Bar‐Sagi and Bruce T. Liang. Their work appears in journals such as Journal of Biological Chemistry, The FASEB Journal, Molecular and Cellular Biology, Molecular Biology of the Cell and Nature Cell 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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