Guangwei Du
Impact in
- Cell Biology top 0.5%
- Cellular transport and secretion
- Aging top 2%
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 16
- Lipid Membrane Structure and Behavior 14
- PI3K/AKT/mTOR signaling in cancer 6
- Metabolism, Diabetes, and Cancer 6
- RNA Interference and Gene Delivery 6
- Cell Biology 32
- Cellular transport and secretion 21
- Co-authors
- Michael A. Frohman (29 shared papers)Elizabeth Scotto–Lavino (4 shared papers)Ping Huang (3 shared papers)Michael Bäder (4 shared papers)Sylvette Chasserot‐Golaz (4 shared papers)Nicolas Vitale (4 shared papers)Yueqiang Zhang (4 shared papers)Andrew J. Morris (4 shared papers)
- Journals
- Journal of Biological Chemistry (11 papers)The FASEB Journal (4 papers)Molecular Biology of the Cell (4 papers)Molecular and Cellular Biology (4 papers)Scientific Reports (3 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Guangwei Du
86 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 128
- Cell Biology 1.3k
- Aging 114
- Physiology 211
- Molecular Biology 3.1k
- Biochemistry 297
Countries citing papers authored by Guangwei Du
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
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.
All Works
Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 264 | |
| 2 | 2007 | 243 | |
| 3 | 2006 | 226 | |
| 4 | 2006 | 199 | |
| 5 | 2008 | 198 | |
| 6 | 2004 | 177 | |
| 7 | 2007 | 169 | |
| 8 | 2003 | 140 | |
| 9 | 2001 | 140 | |
| 10 | 2003 | 132 | |
| 11 | 2008 | 130 | |
| 12 | 2011 | 129 | |
| 13 | 2007 | 114 | |
| 14 | 2006 | 108 | |
| 15 | 2000 | 103 | |
| 16 | 2010 | 101 | |
| 17 | 2013 | 91 | |
| 18 | 2000 | 87 | |
| 19 | 2013 | 86 | |
| 20 | 2006 | 84 |
About Guangwei Du
Guangwei Du is a scholar working on Molecular Biology, Cell Biology, Physiology, Surgery and Immunology, having authored 90 papers that have together received 4.6k 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 (9 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Pancreatic function and diabetes (6 papers), Metabolism, Diabetes, and Cancer (6 papers) and RNA Interference and Gene Delivery (6 papers). The work is most often cited by research in Cell Biology (1.3k citations), Aging (114 citations), Physiology (211 citations), Molecular Biology (3.1k citations) and Biochemistry (297 citations). Guangwei Du has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Michael A. Frohman, Elizabeth Scotto–Lavino, Ping Huang, Michael Bäder, Sylvette Chasserot‐Golaz, Nicolas Vitale, Yueqiang Zhang, Andrew J. Morris, Dafna Bar‐Sagi and Chen Zhao. Their work appears in journals such as Journal of Biological Chemistry, The FASEB Journal, Molecular Biology of the Cell, Molecular and Cellular Biology and Scientific 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.