Jay Dewald

2.1k citations
25 papers · 1.7k · h-index 20

Impact in

  • Biochemistry top 0.5%
    • Lipid metabolism and biosynthesis
    • 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
    • Lipid metabolism and biosynthesis 11

Jay Dewald

25 papers receiving 1.6k citations

Peers

Jay Dewald
Comparison fields: 5 of 76
  • Biochemistry 581
  • Cell Biology 579
  • Molecular Biology 1.3k
  • Physiology 53
  • Physiology 258
Replace Erika Binczek with:
Erika Binczek Germany
Rebecca Bachmann United States
H Jamil Canada
Elad L. Laviad Israel
Joanne Buxton United States
Mithu Majumder United States
Micah B. Schott United States
Christine Moessinger Germany
I J Kozka United Kingdom
Andrea R. Schievella United States
Jay Dewald relative to Erika Binczek Germany Erika Binczek's profile →
Citations per field
00.5×3.7×
Erika Binczek · 1×
Citations per year

Countries citing papers authored by Jay Dewald

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jay Dewald Line = papers co-authored together Jay Dewald links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006315
2 1999131
3 1996127
4 2009107
5 2014100
6 200097
7 201588
8 201486
9 199775
10 201274
11 199561
12 200652
13 201352
14 201547
15 201044
16 201438
17 199931
18 201627
19 201624
20 200120

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 1.7k 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 (581 citations), Cell Biology (579 citations), Molecular Biology (1.3k citations), Physiology (53 citations) and Physiology (258 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 Prostaglandins & Other Lipid Mediators.

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.

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