De–An Wang
Impact in
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
- Physiology top 10%
- Calcium signaling and nucleotide metabolism
Papers in
-
- Sphingolipid Metabolism and Signaling 7
- Protein Kinase Regulation and GTPase Signaling 4
- Receptor Mechanisms and Signaling 3
- Lipid Membrane Structure and Behavior 3
- Peroxisome Proliferator-Activated Receptors 1
- Ion channel regulation and function 1
- PI3K/AKT/mTOR signaling in cancer 1
- Oncology 2
- Drug Transport and Resistance Mechanisms 1
- Co-authors
- Leonard R. Johnson (3 shared papers)Wenlin Deng (3 shared papers)Gábor Tigyi (4 shared papers)Daniel L. Baker (4 shared papers)Saı̈d M. Sebti (1 shared paper)Tamás Virág (3 shared papers)Károly Liliom (3 shared papers)L. Van Middlesworth (1 shared paper)
- Journals
- Annals of the New York Academy of Sciences (2 papers)Biochemical Journal (2 papers)Journal of Biological Chemistry (2 papers)Gastroenterology (1 paper)Cellular Signalling (1 paper)
- Partner nations
- United StatesGermanyHungary
In The Last Decade
De–An Wang
9 papers receiving 530 citations
Peers
Comparison fields: 5 of 57
- Cell Biology 151
- Physiology 34
- Molecular Biology 470
- Biochemistry 27
- Physiology 55
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 | 40 | |
| 6 | 2000 | 24 | |
| 7 | 2003 | 21 | |
| 8 | 2000 | 20 | |
| 9 | 2004 | 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 537 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (7 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Receptor Mechanisms and Signaling (3 papers), Lipid Membrane Structure and Behavior (3 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Drug Transport and Resistance Mechanisms (1 paper), Ion channel regulation and function (1 paper) and PI3K/AKT/mTOR signaling in cancer (1 paper). The work is most often cited by research in Cell Biology (151 citations), Physiology (34 citations), Molecular Biology (470 citations), Biochemistry (27 citations) and Physiology (55 citations). De–An Wang has collaborated with scholars based in United States, Germany and Hungary. Frequent co-authors include Leonard R. Johnson, Wenlin Deng, Gábor Tigyi, Gábor Tigyi, Daniel L. Baker, Saı̈d M. Sebti, Tamás Virág, Károly Liliom, L. Van Middlesworth and Nóra Nusser. Their work appears in journals such as Annals of the New York Academy of Sciences, Biochemical Journal, Journal of Biological Chemistry, Gastroenterology and Cellular Signalling.
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.