Jay Dewald
Impact in
- Biochemistry top 0.5%
- Lipid metabolism and biosynthesis
- Cell Biology top 2%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
Papers in
-
- Sphingolipid Metabolism and Signaling 15
- Lipid Membrane Structure and Behavior 4
- Ubiquitin and proteasome pathways 2
- Biochemistry 12
- Lipid metabolism and biosynthesis 11
- Co-authors
- David N. Brindley (24 shared papers)Karen Reue (4 shared papers)Jimmy Donkor (3 shared papers)David W. Waggoner (5 shared papers)Meltem Sarıahmetoğlu (1 shared paper)Xiaoyun Tang (6 shared papers)Carlos Pilquil (6 shared papers)Matthew G.K. Benesch (7 shared papers)
- Journals
- Journal of Biological Chemistry (7 papers)Biochemical Journal (6 papers)The FASEB Journal (3 papers)Journal of Lipid Research (2 papers)FEBS Journal (1 paper)
- Partner nations
- CanadaUnited StatesJapan
In The Last Decade
Jay Dewald
25 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 74
- Biochemistry 564
- Cell Biology 566
- Molecular Biology 1.2k
- Physiology 51
- Physiology 254
Countries citing papers authored by Jay Dewald
This map shows the geographic impact of Jay Dewald'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 Jay Dewald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Dewald more than expected).
Fields of papers citing papers by Jay Dewald
This network shows the impact of papers produced by Jay Dewald. 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 Jay Dewald. The network helps show where Jay Dewald may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay Dewald, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 306 | |
| 2 | 1999 | 128 | |
| 3 | 1996 | 122 | |
| 4 | 2009 | 102 | |
| 5 | 2014 | 97 | |
| 6 | 2000 | 94 | |
| 7 | 2015 | 85 | |
| 8 | 2014 | 84 | |
| 9 | 1997 | 74 | |
| 10 | 2012 | 73 | |
| 11 | 1995 | 59 | |
| 12 | 2006 | 51 | |
| 13 | 2013 | 50 | |
| 14 | 2015 | 47 | |
| 15 | 2010 | 42 | |
| 16 | 2014 | 37 | |
| 17 | 1999 | 30 | |
| 18 | 2016 | 27 | |
| 19 | 2016 | 23 | |
| 20 | 2001 | 19 |
About Jay Dewald
Jay Dewald is a scholar working on Molecular Biology, Biochemistry, Physiology, Cell Biology and Pathology and Forensic Medicine, having authored 25 papers that have together received 1.6k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (15 papers), Lipid metabolism and biosynthesis (11 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Lysosomal Storage Disorders Research (5 papers), Biomedical Research and Pathophysiology (4 papers), Lipid Membrane Structure and Behavior (4 papers), Erythrocyte Function and Pathophysiology (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Biochemistry (564 citations), Cell Biology (566 citations), Molecular Biology (1.2k citations), Physiology (51 citations) and Physiology (254 citations). Jay Dewald has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include David N. Brindley, Karen Reue, Jimmy Donkor, David W. Waggoner, Meltem Sarıahmetoğlu, Xiaoyun Tang, Carlos Pilquil, Matthew G.K. Benesch, Todd McMullen and Antonio Gómez‐Muñoz. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, The FASEB Journal, Journal of Lipid Research and FEBS Journal.
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.