Matthew Quinn

2.1k total citations
41 papers, 1.5k citations indexed

About

Matthew Quinn is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Matthew Quinn has authored 41 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Oncology and 10 papers in Immunology. Recurrent topics in Matthew Quinn's work include Drug Transport and Resistance Mechanisms (8 papers), Immune cells in cancer (5 papers) and Viral Infections and Vectors (4 papers). Matthew Quinn is often cited by papers focused on Drug Transport and Resistance Mechanisms (8 papers), Immune cells in cancer (5 papers) and Viral Infections and Vectors (4 papers). Matthew Quinn collaborates with scholars based in United States, China and Japan. Matthew Quinn's co-authors include Sharon DeMorrow, Gabriel Frampton, Matthew McMillin, John A. Cidlowski, Hae Yong Pae, Cheryl Galindo, Xia Jin, Jacob J. Schlesinger, Robert C. Rose and Zhihua Kou and has published in prestigious journals such as Cell, Gastroenterology and Journal of Virology.

In The Last Decade

Matthew Quinn

41 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Quinn United States 22 439 379 308 260 243 41 1.5k
Laren Becker United States 19 710 1.6× 118 0.3× 110 0.4× 310 1.2× 210 0.9× 46 1.7k
Qiu Zhao China 25 754 1.7× 300 0.8× 51 0.2× 262 1.0× 339 1.4× 112 2.1k
Rajeev Singh India 18 376 0.9× 121 0.3× 97 0.3× 170 0.7× 152 0.6× 61 1.3k
Ralph Burkhardt Germany 29 885 2.0× 118 0.3× 139 0.5× 182 0.7× 334 1.4× 126 2.4k
Bárbara Maier Austria 19 1.1k 2.6× 283 0.7× 190 0.6× 303 1.2× 233 1.0× 61 2.3k
Jean Pierre Schatzmann Peron Brazil 24 703 1.6× 195 0.5× 435 1.4× 318 1.2× 348 1.4× 75 2.6k
Carmen Romero Chile 30 575 1.3× 756 2.0× 146 0.5× 130 0.5× 138 0.6× 89 2.3k
J. Preiß Germany 21 257 0.6× 127 0.3× 140 0.5× 171 0.7× 422 1.7× 80 1.7k
Magnus Hansson Sweden 22 281 0.6× 99 0.3× 290 0.9× 218 0.8× 96 0.4× 42 1.6k

Countries citing papers authored by Matthew Quinn

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Quinn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Quinn

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Quinn. A scholar is included among the top collaborators of Matthew Quinn 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 Matthew Quinn. Matthew Quinn 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.
Mainali, Rabina, et al.. (2024). Itaconate stabilizes CPT1a to enhance lipid utilization during inflammation. eLife. 12. 5 indexed citations
2.
Mainali, Rabina, et al.. (2023). Itaconate stabilizes CPT1a to enhance lipid utilization during inflammation. eLife. 12. 4 indexed citations
3.
Wang, Zhan, Qingxia Zhao, Manal Zabalawi, et al.. (2023). Pyruvate dehydrogenase kinase supports macrophage NLRP3 inflammasome activation during acute inflammation. Cell Reports. 42(1). 111941–111941. 30 indexed citations
4.
Oh, Tae Seok, Manal Zabalawi, Shalini Jain, et al.. (2022). Dichloroacetate improves systemic energy balance and feeding behavior during sepsis. JCI Insight. 7(12). 17 indexed citations
5.
Ruggiero, Alistaire D., et al.. (2020). Advanced maternal age impacts physiologic adaptations to pregnancy in vervet monkeys. GeroScience. 42(6). 1649–1661. 10 indexed citations
6.
Wang, Zhan, Qingxia Zhao, Yan Nie, et al.. (2020). Solute Carrier Family 37 Member 2 (SLC37A2) Negatively Regulates Murine Macrophage Inflammation by Controlling Glycolysis. iScience. 23(5). 101125–101125. 22 indexed citations
7.
Chuang, Chia‐Chi, Andrew C. Bishop, Xianfeng Wang, et al.. (2020). Human GDPD3 overexpression promotes liver steatosis by increasing lysophosphatidic acid production and fatty acid uptake. Journal of Lipid Research. 61(7). 1075–1086. 15 indexed citations
8.
Gibson, Erin M., F. Chris Bennett, Shawn Gillespie, et al.. (2020). How Support of Early Career Researchers Can Reset Science in the Post-COVID19 World. Cell. 181(7). 1445–1449. 40 indexed citations
9.
Quinn, Matthew, et al.. (2018). Estrogen Deficiency Promotes Hepatic Steatosis via a Glucocorticoid Receptor-Dependent Mechanism in Mice. Cell Reports. 22(10). 2690–2701. 61 indexed citations
10.
McMillin, Matthew, et al.. (2015). Bile Acid Signaling Is Involved in the Neurological Decline in a Murine Model of Acute Liver Failure. American Journal Of Pathology. 186(2). 312–323. 81 indexed citations
11.
McMillin, Matthew, Cheryl Galindo, Hae Yong Pae, et al.. (2014). Gli1 activation and protection against hepatic encephalopathy is suppressed by circulating transforming growth factor β1 in mice. Journal of Hepatology. 61(6). 1260–1266. 24 indexed citations
12.
Huang, Li, Gabriel Frampton, Arundhati Rao, et al.. (2012). Monoamine oxidase A expression is suppressed in human cholangiocarcinoma via coordinated epigenetic and IL-6-driven events. Laboratory Investigation. 92(10). 1451–1460. 52 indexed citations
13.
Chiasson, Valorie L., Matthew Quinn, Kristina J. Young, & Brett M. Mitchell. (2011). Protein Kinase CβII-Mediated Phosphorylation of Endothelial Nitric Oxide Synthase Threonine 495 Mediates the Endothelial Dysfunction Induced by FK506 (Tacrolimus). Journal of Pharmacology and Experimental Therapeutics. 337(3). 718–723. 27 indexed citations
14.
Frampton, Gabriel, Pietro Invernizzi, Francesca Bernuzzi, et al.. (2011). Interleukin-6-driven progranulin expression increases cholangiocarcinoma growth by an Akt-dependent mechanism. Gut. 61(2). 268–277. 92 indexed citations
15.
Huang, Li, et al.. (2010). Recent advances in the understanding of the role of the endocannabinoid system in liver diseases. Digestive and Liver Disease. 43(3). 188–193. 14 indexed citations
16.
Kou, Zhihua, Joanne Y. H. Lim, Martina Beltramello, et al.. (2010). Human antibodies against dengue enhance dengue viral infectivity without suppressing type I interferon secretion in primary human monocytes. Virology. 410(1). 240–247. 54 indexed citations
17.
Rodrigo, W. W. Shanaka I., et al.. (2010). A tetravalent recombinant dengue domain III protein vaccine stimulates neutralizing and enhancing antibodies in mice. Vaccine. 28(51). 8085–8094. 50 indexed citations
18.
Kou, Zhihua, Huiyuan Chen, Matthew Quinn, et al.. (2007). Primary Human Splenic Macrophages, but Not T or B Cells, Are the Principal Target Cells for Dengue Virus Infection In Vitro. Journal of Virology. 81(24). 13325–13334. 97 indexed citations
19.
Kou, Zhihua, Matthew Quinn, Huiyuan Chen, et al.. (2007). Monocytes, but not T or B cells, are the principal target cells for dengue virus (DV) infection among human peripheral blood mononuclear cells. Journal of Medical Virology. 80(1). 134–146. 155 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026