Supriya Jayadev

3.0k citations
26 papers · 2.2k · h-index 19

Impact in

    • Sphingolipid Metabolism and Signaling
    • Lipid Membrane Structure and Behavior
    • Cell death mechanisms and regulation
    • Protein Kinase Regulation and GTPase Signaling
    • Drug-Induced Hepatotoxicity and Protection

Papers in

    • Sphingolipid Metabolism and Signaling 12
    • Lipid Membrane Structure and Behavior 7
    • Molecular Biology Techniques and Applications 2
    • Genomics, phytochemicals, and oxidative stress 2
    • Endoplasmic Reticulum Stress and Disease 4
    • Cellular transport and secretion 3

Supriya Jayadev

24 papers receiving 2.1k citations

Peers

Supriya Jayadev
Comparison fields: 5 of 104
  • Molecular Biology 1.6k
  • Pharmacology 184
  • Physiology 85
  • Cell Biology 291
  • Endocrine and Autonomic Systems 101
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Citations per field
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Citations per year

Countries citing papers authored by Supriya Jayadev

Since Specialization
Citations

This map shows the geographic impact of Supriya Jayadev'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 Supriya Jayadev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Supriya Jayadev more than expected).

Fields of papers citing papers by Supriya Jayadev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Supriya Jayadev. 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 Supriya Jayadev. The network helps show where Supriya Jayadev may publish in the future.

Co-authors

The 25 scholars most cited alongside Supriya Jayadev, 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 Supriya Jayadev Line = papers co-authored together Supriya Jayadev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995436
2 1995290
3 1996191
4 1995184
5 1997172
6 1997137
7 2011110
8 200297
9 199980
10 199672
11 200472
12 200453
13 199937
14 200237
15 199234
16 199826
17 200721
18 201121
19
Activation of the sphingomyelin cycle by brefeldin A: effects of brefeldin A on differentiation and implications for a role for ceramide in regulation of protein trafficking.
199621
20 199617

About Supriya Jayadev

Supriya Jayadev is a scholar working on Molecular Biology, Cell Biology, Physiology, Pharmacology and Infectious Diseases, having authored 26 papers that have together received 2.2k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (12 papers), Lipid Membrane Structure and Behavior (7 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Cellular transport and secretion (3 papers), HIV Research and Treatment (2 papers), Adenosine and Purinergic Signaling (2 papers), Molecular Biology Techniques and Applications (2 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Pharmacology (184 citations), Physiology (85 citations), Cell Biology (291 citations) and Endocrine and Autonomic Systems (101 citations). Supriya Jayadev has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Yusuf A. Hannun, Alicja Bielawska, Bin Liu, Marina Y. Pushkareva, Lina M. Obeid, Joanna Y. Lee, Clifford G. Tepper, Michael F. Seldin, Shin Yonehara and Robert A. Wolff. Their work appears in journals such as Journal of Biological Chemistry, Mutation research. Fundamental and molecular mechanisms of mutagenesis, Toxicologic Pathology, Toxicological Sciences and Proceedings of the National Academy of Sciences.

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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