Daniel S. Ory

10.5k total citations · 3 hit papers
86 papers, 7.8k citations indexed

About

Daniel S. Ory is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Daniel S. Ory has authored 86 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 41 papers in Physiology and 17 papers in Surgery. Recurrent topics in Daniel S. Ory's work include Lysosomal Storage Disorders Research (35 papers), Sphingolipid Metabolism and Signaling (15 papers) and Cholesterol and Lipid Metabolism (12 papers). Daniel S. Ory is often cited by papers focused on Lysosomal Storage Disorders Research (35 papers), Sphingolipid Metabolism and Signaling (15 papers) and Cholesterol and Lipid Metabolism (12 papers). Daniel S. Ory collaborates with scholars based in United States, United Kingdom and Norway. Daniel S. Ory's co-authors include Jean E. Schaffer, Laura Listenberger, Xianlin Han, Sarah E. Lewis, Sylvaine Cases, Robert V. Farese, Rohini Sidhu, Xuntian Jiang, Sarah E. Gale and Nica M. Borradaile and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Daniel S. Ory

85 papers receiving 7.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Triglyceride accumulation protects against fatty acid-induced lipotoxicity

2003 1.6k citations Laura Listenberger, Xianlin Han et al. Proceedings of the National Academy of Sciences profile →
Palmitate-induced Apoptosis Can Occur through a Ceramide-independent Pathway

2001 503 citations Laura Listenberger, Daniel S. Ory et al. Journal of Biological Chemistry profile →
Lysosomal cholesterol activates mTORC1 via an SLC38A9–Niemann-Pick C1 signaling complex

2017 394 citations Brian M. Castellano, Ashley Thelen et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel S. Ory United States	42	3.9k	2.6k	1.6k	1.3k	1.2k	86	7.8k
Vishwajeet Puri United States	34	2.8k 0.7×	3.1k 1.2×	1.7k 1.1×	1.4k 1.1×	665 0.5×	67	6.6k
Stephan Herzig Germany	46	4.2k 1.1×	3.3k 1.3×	1.8k 1.2×	977 0.8×	1.1k 0.9×	149	9.0k
Grant A. Mitchell Canada	56	5.8k 1.5×	3.7k 1.4×	2.0k 1.3×	707 0.6×	1.5k 1.2×	206	11.8k
Lawrence Chan United States	52	4.0k 1.0×	1.9k 0.7×	2.1k 1.3×	939 0.7×	1.8k 1.5×	125	9.5k
Kyle L. Hoehn Australia	37	4.2k 1.1×	2.6k 1.0×	1.5k 1.0×	794 0.6×	688 0.6×	98	6.9k
Frédéric M. Vaz Netherlands	50	6.0k 1.6×	2.1k 0.8×	998 0.6×	628 0.5×	881 0.7×	257	9.5k
Laurent Vergnes United States	45	4.8k 1.2×	1.8k 0.7×	1.4k 0.9×	656 0.5×	837 0.7×	101	8.3k
Marc Liesa United States	44	6.5k 1.7×	2.8k 1.1×	2.2k 1.4×	988 0.8×	552 0.5×	83	9.4k
Jean E. Schaffer United States	54	6.3k 1.6×	3.9k 1.5×	2.2k 1.4×	1.5k 1.2×	1.7k 1.4×	108	12.1k
Silvia Corvera United States	53	5.7k 1.5×	3.6k 1.4×	2.2k 1.4×	2.8k 2.3×	1.3k 1.1×	123	10.2k

Countries citing papers authored by Daniel S. Ory

Since Specialization

Citations

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

Fields of papers citing papers by Daniel S. Ory

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel S. Ory. 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 Daniel S. Ory. The network helps show where Daniel S. Ory may publish in the future.

Co-authorship network of co-authors of Daniel S. Ory

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel S. Ory. A scholar is included among the top collaborators of Daniel S. Ory 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 Daniel S. Ory. Daniel S. Ory is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kell, Pamela, Rohini Sidhu, Mingxing Qian, et al.. (2023). A pentasaccharide for monitoring pharmacodynamic response to gene therapy in GM1 gangliosidosis. EBioMedicine. 92. 104627–104627. 8 indexed citations

Dang, An, Irene J. Chang, Lynne A. Wolfe, et al.. (2023). Elevated oxysterol and N‐palmitoyl‐O‐phosphocholineserine levels in congenital disorders of glycosylation. Journal of Inherited Metabolic Disease. 46(2). 326–334. 4 indexed citations

Sletten, Arthur C., Michaela Schwaiger-Haber, Hideji Fujiwara, et al.. (2021). Loss of SNORA73 reprograms cellular metabolism and protects against steatohepatitis. Nature Communications. 12(1). 5214–5214. 22 indexed citations

Peterson, Linda R., Xuntian Jiang, Ling Chen, et al.. (2020). Alterations in plasma triglycerides and ceramides: links with cardiac function in humans with type 2 diabetes. Journal of Lipid Research. 61(7). 1065–1074. 18 indexed citations

Aflaki, Elma, Barbara Stubblefield, Ryan P. McGlinchey, et al.. (2019). A characterization of Gaucher iPS-derived astrocytes: Potential implications for Parkinson's disease. Neurobiology of Disease. 134. 104647–104647. 51 indexed citations

Sidhu, Rohini, Hideji Fujiwara, Mark S. Sands, et al.. (2018). A HILIC‐MS/MS method for simultaneous quantification of the lysosomal disease markers galactosylsphingosine and glucosylsphingosine in mouse serum. Biomedical Chromatography. 32(7). e4235–e4235. 16 indexed citations

Ou, Li, Flaviu Tăbăran, Xuntian Jiang, et al.. (2018). Comprehensive behavioral and biochemical outcomes of novel murine models of GM1-gangliosidosis and Morquio syndrome type B. Molecular Genetics and Metabolism. 126(2). 139–150. 24 indexed citations

Iannotti, Lora, Chessa Lutter, William F. Waters, et al.. (2017). Eggs early in complementary feeding increase choline pathway biomarkers and DHA: a randomized controlled trial in Ecuador. American Journal of Clinical Nutrition. 106(6). 1482–1489. 62 indexed citations

Castellano, Brian M., Ashley Thelen, Ofer Moldavski, et al.. (2017). Lysosomal cholesterol activates mTORC1 via an SLC38A9–Niemann-Pick C1 signaling complex. Science. 355(6331). 1306–1311. 394 indexed citations breakdown →

10.

Bradbury, Allison M., Jessica Bagel, Xuntian Jiang, et al.. (2016). Clinical, electrophysiological, and biochemical markers of peripheral and central nervous system disease in canine globoid cell leukodystrophy (Krabbe's disease). Journal of Neuroscience Research. 94(11). 1007–1017. 22 indexed citations

11.

Bowler, Russell P., Sean Jacobson, Charmion Cruickshank‐Quinn, et al.. (2014). Plasma Sphingolipids Associated with Chronic Obstructive Pulmonary Disease Phenotypes. American Journal of Respiratory and Critical Care Medicine. 191(3). 275–284. 125 indexed citations

12.

Jiang, Xuntian, Paul H. Schlesinger, Ernesto R. Bongarzone, et al.. (2013). Psychosine, the cytotoxic sphingolipid that accumulates in globoid cell leukodystrophy, alters membrane architecture. Journal of Lipid Research. 54(12). 3303–3311. 60 indexed citations

13.

Jiang, Hui, Fong‐Fu Hsu, Marsha Farmer, et al.. (2013). Development and validation of LC-MS/MS method for determination of very long acyl chain (C22:0 and C24:0) ceramides in human plasma. Analytical and Bioanalytical Chemistry. 405(23). 7357–7365. 30 indexed citations

14.

Qin, Elizabeth Y., et al.. (2012). Bone marrow transplantation increases efficacy of central nervous system-directed enzyme replacement therapy in the murine model of globoid cell leukodystrophy. Molecular Genetics and Metabolism. 107(1-2). 186–196. 41 indexed citations

15.

Gale, Sarah E., Emily J. Westover, Kathiresan Krishnan, et al.. (2008). Side Chain Oxygenated Cholesterol Regulates Cellular Cholesterol Homeostasis through Direct Sterol-Membrane Interactions. Journal of Biological Chemistry. 284(3). 1755–1764. 66 indexed citations

16.

Borradaile, Nica M., et al.. (2006). Disruption of endoplasmic reticulum structure and integrity in lipotoxic cell death. Journal of Lipid Research. 47(12). 2726–2737. 480 indexed citations

17.

Borradaile, Nica M., Kimberly K. Buhman, Laura Listenberger, et al.. (2005). A Critical Role for Eukaryotic Elongation Factor 1A-1 in Lipotoxic Cell Death. Molecular Biology of the Cell. 17(2). 770–778. 127 indexed citations

18.

Listenberger, Laura, et al.. (2003). Oligomerization of the Murine Fatty Acid Transport Protein 1. Journal of Biological Chemistry. 278(12). 10477–10483. 32 indexed citations

19.

Listenberger, Laura, Xianlin Han, Sarah E. Lewis, et al.. (2003). Triglyceride accumulation protects against fatty acid-induced lipotoxicity. Proceedings of the National Academy of Sciences. 100(6). 3077–3082. 1613 indexed citations breakdown →

20.

Listenberger, Laura, Daniel S. Ory, & Jean E. Schaffer. (2001). Palmitate-induced Apoptosis Can Occur through a Ceramide-independent Pathway. Journal of Biological Chemistry. 276(18). 14890–14895. 503 indexed citations breakdown →

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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