Justin M. Snider

1.1k total citations
40 papers, 750 citations indexed

About

Justin M. Snider is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Justin M. Snider has authored 40 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 12 papers in Cell Biology and 10 papers in Physiology. Recurrent topics in Justin M. Snider's work include Sphingolipid Metabolism and Signaling (20 papers), Lipid Membrane Structure and Behavior (12 papers) and Endoplasmic Reticulum Stress and Disease (7 papers). Justin M. Snider is often cited by papers focused on Sphingolipid Metabolism and Signaling (20 papers), Lipid Membrane Structure and Behavior (12 papers) and Endoplasmic Reticulum Stress and Disease (7 papers). Justin M. Snider collaborates with scholars based in United States, Germany and Egypt. Justin M. Snider's co-authors include Barbara Rembiesa, Jacek Bielawski, Alicja Bielawska, Jason S. Pierce, Zdzisław M. Szulc, Yusuf A. Hannun, Lina M. Obeid, Ashley J. Snider, Chiara Luberto and L. Ashley Cowart and has published in prestigious journals such as PLoS ONE, Molecular and Cellular Biology and Oncogene.

In The Last Decade

Justin M. Snider

37 papers receiving 746 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Justin M. Snider United States 15 575 191 164 99 64 40 750
Ding Wang United States 18 727 1.3× 217 1.1× 140 0.9× 125 1.3× 25 0.4× 37 1.0k
Non Miyata Japan 17 807 1.4× 213 1.1× 124 0.8× 104 1.1× 76 1.2× 25 1.0k
Charles A. Berdan United States 11 436 0.8× 129 0.7× 144 0.9× 138 1.4× 36 0.6× 12 742
Samuel Kelly United States 5 673 1.2× 179 0.9× 138 0.8× 137 1.4× 58 0.9× 6 789
Melissa A. Greeve Australia 7 461 0.8× 189 1.0× 127 0.8× 145 1.5× 37 0.6× 8 778
Agnieszka A. Kendrick United States 10 433 0.8× 244 1.3× 148 0.9× 175 1.8× 91 1.4× 15 842
Sang Gyun Kim United States 6 550 1.0× 102 0.5× 107 0.7× 109 1.1× 48 0.8× 8 725
Museer A. Lone Switzerland 14 585 1.0× 149 0.8× 234 1.4× 65 0.7× 23 0.4× 26 742
Cristina Mascaró Spain 13 696 1.2× 204 1.1× 52 0.3× 110 1.1× 66 1.0× 26 944

Countries citing papers authored by Justin M. Snider

Since Specialization
Citations

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

Fields of papers citing papers by Justin M. Snider

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justin M. Snider. 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 Justin M. Snider. The network helps show where Justin M. Snider may publish in the future.

Co-authorship network of co-authors of Justin M. Snider

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

All Works

20 of 20 papers shown
1.
Furlong, Melissa, Shawn C. Beitel, Jefferey L. Burgess, et al.. (2025). Evaluating Differential Metabolic Profiles by Prostate Cancer Risk Among Prostate Cancer Patients. Metabolites. 15(12). 757–757.
2.
Furlong, Melissa, Justin M. Snider, Malak Tfaily, et al.. (2025). Differential metabolic profiles by Hispanic ethnicity among male Tucson firefighters. Metabolomics. 21(2). 37–37. 1 indexed citations
3.
Furlong, Melissa, Justin M. Snider, Shawn C. Beitel, et al.. (2025). Evaluating urinary metabolic profiles with wildland-urban-interface (wui) fire exposure among male firefighters: a comparison with municipal structure fires (msf). Environmental Health. 24(1). 88–88.
4.
Sun, Shudong, Brian Hallmark, Justin M. Snider, et al.. (2024). Temporal associations of plasma levels of the secreted phospholipase A 2 family and mortality in severe COVID‐19. European Journal of Immunology. 54(6). e2350721–e2350721. 1 indexed citations
5.
Snider, Justin M., Sitapriya Moorthi, Nicolas Coant, et al.. (2024). A comprehensive measure of Golgi sphingolipid flux using NBD C6-ceramide: evaluation of sphingolipid inhibitors. Journal of Lipid Research. 65(8). 100584–100584. 3 indexed citations
6.
Scholpa, Natalie E., et al.. (2024). Evolution of Lipid Metabolism in the Injured Mouse Spinal Cord. Journal of Neurotrauma. 42(3-4). 182–196. 3 indexed citations
7.
8.
Chauhan, Shailender S., Hope Liou, David F. Kashatus, et al.. (2023). PIM1 drives lipid droplet accumulation to promote proliferation and survival in prostate cancer. Oncogene. 43(6). 406–419. 14 indexed citations
9.
Snider, Justin M., et al.. (2023). Metabolomics analysis of pathways underlying radiation-induced salivary gland dysfunction stages. PLoS ONE. 18(11). e0294355–e0294355. 6 indexed citations
10.
Doll, Mark A., María José Hernandez‐Corbacho, Justin M. Snider, et al.. (2023). Expression of Ceramide Synthases in Mice and Their Roles in Regulating Acyl-Chain Sphingolipids: A Framework for Baseline Levels and Future Implications in Aging and Disease. Molecular Pharmacology. 105(3). 131–143. 7 indexed citations
11.
Clarke, Christopher J., Jeffrey L. Stith, Justin M. Snider, et al.. (2021). Targeting sphingosine kinase 1 (SK1) enhances oncogene-induced senescence through ceramide synthase 2 (CerS2)-mediated generation of very-long-chain ceramides. Cell Death and Disease. 12(1). 27–27. 12 indexed citations
12.
Snider, Justin M., et al.. (2020). Sphingosine kinase 1 is required for myristate-induced TNFα expression in intestinal epithelial cells. Prostaglandins & Other Lipid Mediators. 149. 106423–106423. 11 indexed citations
13.
Matmati, Nabil, Bachar H. Hassan, Jihui Ren, et al.. (2020). Yeast Sphingolipid Phospholipase Gene ISC1 Regulates the Spindle Checkpoint by a CDC55-Dependent Mechanism. Molecular and Cellular Biology. 40(12). 4 indexed citations
14.
Mileva, Izolda, et al.. (2019). Quantifying 1-deoxydihydroceramides and 1-deoxyceramides in mouse nervous system tissue. Prostaglandins & Other Lipid Mediators. 141. 40–48. 11 indexed citations
15.
Ren, Jihui, Essa M. Saied, Justin M. Snider, et al.. (2018). Tsc3 regulates SPT amino acid choice in Saccharomyces cerevisiae by promoting alanine in the sphingolipid pathway. Journal of Lipid Research. 59(11). 2126–2139. 13 indexed citations
16.
Snider, Justin M., Christopher J. Clarke, Ashley J. Snider, et al.. (2018). Multiple actions of doxorubicin on the sphingolipid network revealed by flux analysis. Journal of Lipid Research. 60(4). 819–831. 21 indexed citations
17.
Ren, Jihui, Justin M. Snider, Michael V. Airola, et al.. (2018). Quantification of 3-ketodihydrosphingosine using HPLC-ESI-MS/MS to study SPT activity in yeast Saccharomyces cerevisiae. Journal of Lipid Research. 59(1). 162–170. 15 indexed citations
18.
19.
Bielawski, Jacek, Jason S. Pierce, Justin M. Snider, et al.. (2010). Sphingolipid Analysis by High Performance Liquid Chromatography-Tandem Mass Spectrometry (HPLC-MS/MS). Advances in experimental medicine and biology. 46–59. 120 indexed citations
20.
Bielawski, Jacek, Jason S. Pierce, Justin M. Snider, et al.. (2009). Comprehensive Quantitative Analysis of Bioactive Sphingolipids by High-Performance Liquid Chromatography–Tandem Mass Spectrometry. Methods in molecular biology. 579. 443–467. 150 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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