Sharon Epstein

1.2k total citations
9 papers, 1.0k citations indexed

About

Sharon Epstein is a scholar working on Molecular Biology, Cell Biology and Biochemistry. According to data from OpenAlex, Sharon Epstein has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Biochemistry. Recurrent topics in Sharon Epstein's work include Sphingolipid Metabolism and Signaling (6 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and Lipid metabolism and biosynthesis (3 papers). Sharon Epstein is often cited by papers focused on Sphingolipid Metabolism and Signaling (6 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and Lipid metabolism and biosynthesis (3 papers). Sharon Epstein collaborates with scholars based in Switzerland, United States and Spain. Sharon Epstein's co-authors include Howard Riezman, Hye Jung Park, Elad L. Laviad, Irene Pankova-Kholmyansky, Anthony H. Futerman, Alfred H. Merrill, Lee D. Albee, Guillaume A. Castillon, Isabelle Riezman and Richard Jennemann and has published in prestigious journals such as Science, Journal of Biological Chemistry and Human Molecular Genetics.

In The Last Decade

Sharon Epstein

9 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sharon Epstein Switzerland	8	821	300	229	149	97	9	1.0k
Ulrike Rothermel Germany	7	455 0.6×	149 0.5×	188 0.8×	73 0.5×	43 0.4×	8	638
Hiroyuki Kanoh Japan	17	572 0.7×	232 0.8×	101 0.4×	42 0.3×	90 0.9×	45	979
Jolanta Idkowiak‐Baldys United States	17	1.1k 1.3×	313 1.0×	286 1.2×	81 0.5×	122 1.3×	26	1.3k
Tatsuro Naganuma Japan	12	397 0.5×	135 0.5×	84 0.4×	120 0.8×	37 0.4×	20	559
Michihiro Sumida Japan	19	686 0.8×	161 0.5×	182 0.8×	95 0.6×	50 0.5×	46	984
Laura J. Terlecky United States	12	816 1.0×	471 1.6×	282 1.2×	28 0.2×	122 1.3×	12	1.2k
Marina Y. Pushkareva United States	8	894 1.1×	188 0.6×	153 0.7×	46 0.3×	46 0.5×	10	1.0k
Makoto Takehana Japan	18	558 0.7×	133 0.4×	133 0.6×	32 0.2×	18 0.2×	62	832
G. van Echten Germany	15	1.3k 1.6×	531 1.8×	428 1.9×	120 0.8×	52 0.5×	16	1.5k
Sulochanadevi Baskaran United States	11	292 0.4×	256 0.9×	106 0.5×	26 0.2×	356 3.7×	12	664

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-authorship network of co-authors of Sharon Epstein

This figure shows the co-authorship network connecting the top 25 collaborators of Sharon Epstein. A scholar is included among the top collaborators of Sharon Epstein based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sharon Epstein. Sharon Epstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Goncharova, Elena A., Edna Nyangau, Mahalakshmi Shankaran, et al.. (2023). The D₃‐creatine dilution method non‐invasively measures muscle mass in mice. Aging Cell. 22(8). e13897–e13897. 3 indexed citations

Zimmermann, Christine, Kenneth Gable, Sharon Epstein, et al.. (2013). TORC1 Inhibits GSK3-Mediated Elo2 Phosphorylation to Regulate Very Long Chain Fatty Acid Synthesis and Autophagy. Cell Reports. 5(4). 1036–1046. 36 indexed citations

Epstein, Sharon, Clare L. Kirkpatrick, Guillaume A. Castillon, et al.. (2012). Activation of the unfolded protein response pathway causes ceramide accumulation in yeast and INS-1E insulinoma cells. Journal of Lipid Research. 53(3). 412–420. 35 indexed citations

Epstein, Sharon. (2012). Sphingolipid signaling in yeast potential implications for understanding disease. Frontiers in Bioscience-Elite. E5(1). 97–108. 19 indexed citations

Epstein, Sharon, Guillaume A. Castillon, Yong‐Mei Qin, & Howard Riezman. (2012). An essential function of sphingolipids in yeast cell division. Molecular Microbiology. 84(6). 1018–1032. 49 indexed citations

Jennemann, Richard, Mariona Rabionet, Karin Gorgas, et al.. (2011). Loss of ceramide synthase 3 causes lethal skin barrier disruption. Human Molecular Genetics. 21(3). 586–608. 241 indexed citations

Castillon, Guillaume A., Auxiliadora Aguilera-Romero, Javier Manzano‐Lopez, et al.. (2011). The yeast p24 complex regulates GPI-anchored protein transport and quality control by monitoring anchor remodeling. Molecular Biology of the Cell. 22(16). 2924–2936. 104 indexed citations

Howell, Kate, Sharon Epstein, Isabelle Riezman, et al.. (2009). Protection of C. elegans from Anoxia by HYL-2 Ceramide Synthase. Science. 324(5925). 381–384. 139 indexed citations

Laviad, Elad L., Lee D. Albee, Irene Pankova-Kholmyansky, et al.. (2007). Characterization of Ceramide Synthase 2. Journal of Biological Chemistry. 283(9). 5677–5684. 402 indexed citations

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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