E. Wang
Impact in
- Cell Biology top 5%
- Plant Pathogens and Fungal Diseases
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
- Molecular Biology top 10%
- Sphingolipid Metabolism and Signaling
- Lipid Membrane Structure and Behavior
Papers in
-
- Polysaccharides and Plant Cell Walls 4
- Mycotoxins in Agriculture and Food 4
-
- Sphingolipid Metabolism and Signaling 4
- Co-authors
- Alfred H. Merrill (13 shared papers)Ronald T. Riley (3 shared papers)Joseph J. Schroeder (2 shared papers)Sarah Spiegel (1 shared paper)James A. Shayman (1 shared paper)Dirck L. Dillehay (1 shared paper)Kenneth A. Voss (1 shared paper)Dennis C. Liotta (2 shared papers)
- Journals
- Toxicology and Applied Pharmacology (2 papers)Journal of Applied Physiology (2 papers)Biochemical and Biophysical Research Communications (1 paper)Poultry Science (1 paper)Biochemical Society Transactions (1 paper)
- Partner nations
- United States
In The Last Decade
E. Wang
13 papers receiving 1.2k citations
E. Wang's Hit Papers
Peers
Comparison fields: 5 of 95
- Cell Biology 279
- Molecular Biology 743
- Plant Science 395
- Biochemistry 66
- Physiology 218
Countries citing papers authored by E. Wang
This map shows the geographic impact of E. 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 E. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Wang more than expected).
Fields of papers citing papers by E. Wang
This network shows the impact of papers produced by E. 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 E. Wang. The network helps show where E. Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside E. 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 | Sphingolipids—The Enigmatic Lipid Class: Biochemistry, Physiology, and Pathophysiology Hit paper breakdown → | 1997 | 558 |
| 2 | 1993 | 141 | |
| 3 | 1989 | 93 | |
| 4 | 1996 | 76 | |
| 5 | 2001 | 66 | |
| 6 | 1995 | 60 | |
| 7 | 1998 | 53 | |
| 8 | 1992 | 52 | |
| 9 | 1998 | 30 | |
| 10 | 1999 | 28 | |
| 11 | 1992 | 23 | |
| 12 | 1984 | 13 | |
| 13 | 1995 | 10 |
About E. Wang
E. Wang is a scholar working on Plant Science, Molecular Biology, Cell Biology, Pharmacology and Physiology, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include Polysaccharides and Plant Cell Walls (4 papers), Mycotoxins in Agriculture and Food (4 papers), Sphingolipid Metabolism and Signaling (4 papers), Fungal Biology and Applications (3 papers), Biomedical Research and Pathophysiology (2 papers), High Altitude and Hypoxia (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Spaceflight effects on biology (2 papers). The work is most often cited by research in Cell Biology (279 citations), Molecular Biology (743 citations), Plant Science (395 citations), Biochemistry (66 citations) and Physiology (218 citations). E. Wang has collaborated with scholars based in United States. Frequent co-authors include Alfred H. Merrill, Ronald T. Riley, Joseph J. Schroeder, Sarah Spiegel, James A. Shayman, Dirck L. Dillehay, Kenneth A. Voss, Dennis C. Liotta, A. J. Bermudez and George E. Rottinghaus. Their work appears in journals such as Toxicology and Applied Pharmacology, Journal of Applied Physiology, Biochemical and Biophysical Research Communications, Poultry Science and Biochemical Society Transactions.
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.