De–An Wang
Impact in
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
- Physiology top 10%
- Erythrocyte Function and Pathophysiology
Papers in
-
- Sphingolipid Metabolism and Signaling 7
- Protein Kinase Regulation and GTPase Signaling 4
- Lipid Membrane Structure and Behavior 3
- Receptor Mechanisms and Signaling 3
- Cell death mechanisms and regulation 2
- PI3K/AKT/mTOR signaling in cancer 2
- Ion channel regulation and function 1
- TGF-β signaling in diseases 1
- Oncology 2
- Co-authors
- Wenlin Deng (3 shared papers)Leonard R. Johnson (3 shared papers)Gábor Tigyi (4 shared papers)Daniel L. Baker (4 shared papers)Saı̈d M. Sebti (1 shared paper)L. Van Middlesworth (1 shared paper)Tamás Virág (3 shared papers)Nóra Nusser (3 shared papers)
- Journals
- Annals of the New York Academy of Sciences (2 papers)Journal of Biological Chemistry (2 papers)Biochemical Journal (2 papers)Cellular Signalling (1 paper)American Journal of Physiology-Gastrointestinal and Liver Physiology (1 paper)
- Partner nations
- United StatesGermanyHungary
In The Last Decade
De–An Wang
9 papers receiving 527 citations
Peers
Comparison fields: 5 of 60
- Cell Biology 163
- Physiology 36
- Molecular Biology 490
- Biochemistry 29
- Physiology 66
Countries citing papers authored by De–An Wang
This map shows the geographic impact of De–An Wang'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 De–An Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites De–An Wang more than expected).
Fields of papers citing papers by De–An Wang
This network shows the impact of papers produced by De–An Wang. 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 De–An Wang. The network helps show where De–An Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside De–An Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 138 | |
| 2 | 2002 | 104 | |
| 3 | 2001 | 101 | |
| 4 | 2003 | 69 | |
| 5 | 2005 | 39 | |
| 6 | 2000 | 24 | |
| 7 | 2003 | 21 | |
| 8 | 2004 | 20 | |
| 9 | 2000 | 20 |
About De–An Wang
De–An Wang is a scholar working on Molecular Biology, Oncology, Cell Biology, Infectious Diseases and Organic Chemistry, having authored 9 papers that have together received 536 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (7 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Lipid Membrane Structure and Behavior (3 papers), Receptor Mechanisms and Signaling (3 papers), Cell death mechanisms and regulation (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Ion channel regulation and function (1 paper) and TGF-β signaling in diseases (1 paper). The work is most often cited by research in Cell Biology (163 citations), Physiology (36 citations), Molecular Biology (490 citations), Biochemistry (29 citations) and Physiology (66 citations). De–An Wang has collaborated with scholars based in United States, Germany and Hungary. Frequent co-authors include Wenlin Deng, Leonard R. Johnson, Gábor Tigyi, Gábor Tigyi, Daniel L. Baker, Saı̈d M. Sebti, L. Van Middlesworth, Tamás Virág, Nóra Nusser and Károly Liliom. Their work appears in journals such as Annals of the New York Academy of Sciences, Journal of Biological Chemistry, Biochemical Journal, Cellular Signalling 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.