Ryan G. Snodgrass

1.7k total citations
25 papers, 1.3k citations indexed

About

Ryan G. Snodgrass is a scholar working on Immunology, Molecular Biology and Physiology. According to data from OpenAlex, Ryan G. Snodgrass has authored 25 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 8 papers in Molecular Biology and 6 papers in Physiology. Recurrent topics in Ryan G. Snodgrass's work include Immune cells in cancer (8 papers), Immune Cell Function and Interaction (6 papers) and Immune Response and Inflammation (5 papers). Ryan G. Snodgrass is often cited by papers focused on Immune cells in cancer (8 papers), Immune Cell Function and Interaction (6 papers) and Immune Response and Inflammation (5 papers). Ryan G. Snodgrass collaborates with scholars based in Germany, United States and South Korea. Ryan G. Snodgrass's co-authors include Bernhard Brüne, Daniel Hwang, Shurong Huang, Kikumi D. Ono‐Moore, Jennifer M. Rutkowsky, Dina A. Schneider, John W. Newman, Sean H. Adams, John C. Rutledge and Il-Whan Choi and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and The FASEB Journal.

In The Last Decade

Ryan G. Snodgrass

25 papers receiving 1.3k citations

Peers

Ryan G. Snodgrass
Melanie Stables United Kingdom
Ryan G. Snodgrass
Citations per year, relative to Ryan G. Snodgrass Ryan G. Snodgrass (= 1×) peers Melanie Stables

Countries citing papers authored by Ryan G. Snodgrass

Since Specialization
Citations

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

Fields of papers citing papers by Ryan G. Snodgrass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan G. Snodgrass. 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 Ryan G. Snodgrass. The network helps show where Ryan G. Snodgrass may publish in the future.

Co-authorship network of co-authors of Ryan G. Snodgrass

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan G. Snodgrass. A scholar is included among the top collaborators of Ryan G. Snodgrass 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 Ryan G. Snodgrass. Ryan G. Snodgrass 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.
Lütjohann, Dieter, et al.. (2024). ALOX15B controls macrophage cholesterol homeostasis via lipid peroxidation, ERK1/2 and SREBP2. Redox Biology. 72. 103149–103149. 7 indexed citations
2.
Snodgrass, Ryan G., Xiaowen Jiang, Charles B. Stephensen, & Kevin D. Laugero. (2023). Cumulative physiological stress is associated with age-related changes to peripheral T lymphocyte subsets in healthy humans. Immunity & Ageing. 20(1). 29–29. 3 indexed citations
3.
Wilhelm, Alexander, Carina Elsner, Mario L. Santiago, et al.. (2022). SRSF1 acts as an IFN-I-regulated cellular dependency factor decisively affecting HIV-1 post-integration steps. Frontiers in Immunology. 13. 935800–935800. 11 indexed citations
4.
Weigert, Andreas, et al.. (2021). Lysosome-Dependent LXR and PPARδ Activation Upon Efferocytosis in Human Macrophages. Frontiers in Immunology. 12. 637778–637778. 30 indexed citations
5.
Snodgrass, Ryan G., Tobias Schmid, Dmitry Namgaladze, et al.. (2020). Efferocytosis potentiates the expression of arachidonate 15-lipoxygenase (ALOX15) in alternatively activated human macrophages through LXR activation. Cell Death and Differentiation. 28(4). 1301–1316. 62 indexed citations
6.
Queck, Alexander, Annika F. Fink, Sabrina Rüschenbaum, et al.. (2020). Alox12/15 Deficiency Exacerbates, While Lipoxin A4 Ameliorates Hepatic Inflammation in Murine Alcoholic Hepatitis. Frontiers in Immunology. 11. 1447–1447. 7 indexed citations
7.
Snodgrass, Ryan G., et al.. (2020). Bifurcation and sensitivity analysis reveal key drivers of multistability in a model of macrophage polarization. Journal of Theoretical Biology. 509. 110511–110511. 7 indexed citations
8.
Snodgrass, Ryan G. & Bernhard Brüne. (2019). Regulation and Functions of 15-Lipoxygenases in Human Macrophages. Frontiers in Pharmacology. 10. 719–719. 106 indexed citations
9.
Weigert, Andreas, Elisabeth Strack, Ryan G. Snodgrass, & Bernhard Brüne. (2018). mPGES-1 and ALOX5/-15 in tumor-associated macrophages. Cancer and Metastasis Reviews. 37(2-3). 317–334. 39 indexed citations
10.
Zezina, Ekaterina, Ryan G. Snodgrass, Yannick Schreiber, et al.. (2018). Mitochondrial fragmentation in human macrophages attenuates palmitate-induced inflammatory responses. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1863(4). 433–446. 20 indexed citations
11.
Snodgrass, Ryan G., Ekaterina Zezina, Dmitry Namgaladze, et al.. (2018). A Novel Function for 15-Lipoxygenases in Cholesterol Homeostasis and CCL17 Production in Human Macrophages. Frontiers in Immunology. 9. 1906–1906. 29 indexed citations
12.
Ono‐Moore, Kikumi D., Ling Zhao, Shurong Huang, et al.. (2017). Transgenic mice with ectopic expression of constitutively active TLR4 in adipose tissues do not show impaired insulin sensitivity. Immunity Inflammation and Disease. 5(4). 526–540. 2 indexed citations
13.
Ono‐Moore, Kikumi D., Ryan G. Snodgrass, Shurong Huang, et al.. (2016). Postprandial Inflammatory Responses and Free Fatty Acids in Plasma of Adults Who Consumed a Moderately High-Fat Breakfast with and without Blueberry Powder in a Randomized Placebo-Controlled Trial. Journal of Nutrition. 146(7). 1411–1419. 35 indexed citations
14.
Snodgrass, Ryan G., et al.. (2016). Docosahexaenoic acid and palmitic acid reciprocally modulate monocyte activation in part through endoplasmic reticulum stress. The Journal of Nutritional Biochemistry. 32. 39–45. 22 indexed citations
15.
Ahmad, Khalil Ali, Ryan G. Snodgrass, Nicolas Flamand, et al.. (2016). Cellular analysis of the histamine H4 receptor in human myeloid cells. Biochemical Pharmacology. 103. 74–84. 20 indexed citations
16.
Snodgrass, Ryan G., Ekaterina Zezina, Andreas Weigert, et al.. (2015). Hypoxia Potentiates Palmitate-induced Pro-inflammatory Activation of Primary Human Macrophages. Journal of Biological Chemistry. 291(1). 413–424. 72 indexed citations
17.
Namgaladze, Dmitry, Ryan G. Snodgrass, Carlo Angioni, et al.. (2015). AMP-activated Protein Kinase Suppresses Arachidonate 15-Lipoxygenase Expression in Interleukin 4-polarized Human Macrophages. Journal of Biological Chemistry. 290(40). 24484–24494. 33 indexed citations
18.
Huang, Shurong, Jennifer M. Rutkowsky, Ryan G. Snodgrass, et al.. (2012). Saturated fatty acids activate TLR-mediated proinflammatory signaling pathways. Journal of Lipid Research. 53(9). 2002–2013. 467 indexed citations
19.
Snodgrass, Ryan G., Abby C. Collier, Amy Coon, & Chris A. Pritsos. (2010). Mitomycin C Inhibits Ribosomal RNA. Journal of Biological Chemistry. 285(25). 19068–19075. 51 indexed citations
20.
Wong, Scott W., Myung‐Ja Kwon, Ryan G. Snodgrass, et al.. (2010). FATTY ACIDS MODULATE TOLL‐LIKE RECEPTOR 4 ACTIVATION THROUGH REGULATION OF RECEPTOR DIMERIZATION AND RECRUITMENT INTO LIPID RAFTS IN A ROS DEPENDENT MANNER. The FASEB Journal. 24(S1). 4 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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