Sharon Epstein

1.2k citations
9 papers · 1.0k · h-index 8

Impact in

Papers in

    • Sphingolipid Metabolism and Signaling 6
    • Lipid Membrane Structure and Behavior 2
    • Endoplasmic Reticulum Stress and Disease 3
    • Cellular transport and secretion 2

Sharon Epstein

9 papers receiving 1.0k citations

Peers

Sharon Epstein
Comparison fields: 5 of 75
  • Aging 49
  • Biochemistry 149
  • Cell Biology 300
  • Molecular Biology 821
  • Pharmaceutical Science 66
Replace Ulrike Rothermel with:
Ulrike Rothermel Germany
Jolanta Idkowiak‐Baldys United States
Laura J. Terlecky United States
Hiroyuki Kanoh Japan
Gyuyoup Kim United States
Maike Thamsen United States
Alessandro Magini Italy
Jinling Wang China
Marina Y. Pushkareva United States
Timothy L. Born United States
Sharon Epstein relative to Ulrike Rothermel Germany Ulrike Rothermel's profile →
Citations per field
00.5×3.8×
Ulrike Rothermel · 1×
Citations per year

Countries citing papers authored by Sharon Epstein

Since Specialization
Citations

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

Fields of papers citing papers by Sharon Epstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2007402
2 2011241
3 2009139
4 2011104
5 201249
6 201336
7 201235
8 201219
9 20233

About Sharon Epstein

Sharon Epstein is a scholar working on Molecular Biology, Cell Biology, Biochemistry, Dermatology and Endocrine and Autonomic Systems, having authored 9 papers that have together received 1.0k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (6 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Lipid metabolism and biosynthesis (3 papers), Lipid Membrane Structure and Behavior (2 papers), Cellular transport and secretion (2 papers), Polysaccharides and Plant Cell Walls (1 paper), Body Composition Measurement Techniques (1 paper) and Dermatology and Skin Diseases (1 paper). The work is most often cited by research in Aging (49 citations), Biochemistry (149 citations), Cell Biology (300 citations), Molecular Biology (821 citations) and Pharmaceutical Science (66 citations). Sharon Epstein has collaborated with scholars based in Switzerland, United States and Spain. Frequent co-authors include Howard Riezman, Lee D. Albee, Alfred H. Merrill, Irene Pankova-Kholmyansky, Hye Jung Park, Anthony H. Futerman, Elad L. Laviad, Guillaume A. Castillon, Isabelle Riezman and Alexander H. Dalpke. Their work appears in journals such as Journal of Lipid Research, Molecular Biology of the Cell, Frontiers in Bioscience-Elite, Molecular Microbiology and Human Molecular Genetics.

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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