De-an Wang
Impact in
- Sensory Systems top 2%
- Hearing, Cochlea, Tinnitus, Genetics
- Molecular Biology top 10%
- Sphingolipid Metabolism and Signaling
- Connexins and lens biology
- Lipid Membrane Structure and Behavior
- Receptor Mechanisms and Signaling
- Protein Kinase Regulation and GTPase Signaling
Papers in
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- Sphingolipid Metabolism and Signaling 5
- Lipid Membrane Structure and Behavior 4
- Protein Kinase Regulation and GTPase Signaling 3
- Receptor Mechanisms and Signaling 3
- Connexins and lens biology 1
- Angiogenesis and VEGF in Cancer 1
-
- Cancer, Hypoxia, and Metabolism 2
- Co-authors
- Abby L. Parrill (4 shared papers)Debra L. Bautista (3 shared papers)Károly Liliom (3 shared papers)Zsolt Lőrincz (2 shared papers)Gábor Tigyi (3 shared papers)David J. Fischer (2 shared papers)Andrew D. Hamilton (3 shared papers)Daniel L. Baker (2 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Molecular and Cellular Biology (1 paper)Nature Genetics (1 paper)Oncogene (1 paper)Organic & Biomolecular Chemistry (1 paper)
- Partner nations
- United StatesCanadaHungary
In The Last Decade
De-an Wang
9 papers receiving 883 citations
Peers
Comparison fields: 5 of 76
- Sensory Systems 259
- Molecular Biology 756
- Neurology 76
- Endocrine and Autonomic Systems 60
- Cell Biology 116
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 | 1998 | 336 | |
| 2 | 2000 | 135 | |
| 3 | 2001 | 96 | |
| 4 | 2005 | 87 | |
| 5 | 2002 | 71 | |
| 6 | 2007 | 63 | |
| 7 | 2006 | 46 | |
| 8 | 2006 | 45 | |
| 9 | 2002 | 24 |
About De-an Wang
De-an Wang is a scholar working on Molecular Biology, Cancer Research, Organic Chemistry, Oncology and Sensory Systems, having authored 9 papers that have together received 903 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (5 papers), Lipid Membrane Structure and Behavior (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Receptor Mechanisms and Signaling (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Connexins and lens biology (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and Angiogenesis and VEGF in Cancer (1 paper). The work is most often cited by research in Sensory Systems (259 citations), Molecular Biology (756 citations), Neurology (76 citations), Endocrine and Autonomic Systems (60 citations) and Cell Biology (116 citations). De-an Wang has collaborated with scholars based in United States, Canada and Hungary. Frequent co-authors include Abby L. Parrill, Debra L. Bautista, Károly Liliom, Zsolt Lőrincz, Gábor Tigyi, David J. Fischer, Andrew D. Hamilton, Daniel L. Baker, Gábor Tigyi and James R. Van Brocklyn. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, Nature Genetics, Oncogene and Organic & Biomolecular Chemistry.
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.